Attunity (ATTU) 6-K Current report (foreign)

Exhibit 99.1

 ATTUNITY 2017 ANALYST & INVESTOR DAY  SMALL CAP | BIG DATA | HUGE OPPORTUNITY 

 *  © 2017 Attunity  This presentation, both written and oral, may contain certain "forward-looking statements” within the meaning of the U.S. Private Securities Litigation Reform Act of 1995. Because such statements deal with future events, they are subject to various risks and uncertainties and actual results could differ materially from Attunity's current expectations. Factors that could cause or contribute to such differences include, but are not limited to the risk factors set forth in Attunity's latest Annual Report on Form 20-F and other filings with the Securities and Exchange Commission (“SEC”). Except as otherwise required by law, Attunity undertakes no obligation to publicly release any revisions to these forward-looking statements to reflect events or circumstances after the date hereof or to reflect the occurrence of unanticipated events. This presentation, both written and oral, is not intended to provide you with a complete summary of Attunity’s business or financial results. For further information about us, you should read our reports and filings with the SEC. Our SEC filings are available at the SEC’s public reference room at 100 F Street, N.E., Washington D.C. 20549, Room 1580. Our SEC filings are also available to the public through the SEC’s web site at www.sec.gov. Please call the SEC at 1-800-SEC-0330 for further information on the public reference room in Washington D.C. and in other locations. This presentation may contain certain non-GAAP financial measures. These measures should be considered in addition to results prepared in accordance with GAAP. The reconciliations of such measures to the comparable GAAP figures are included in the end of this presentation. This presentation, both written and oral, shall not constitute an offer to sell or the solicitation of an offer to buy any securities nor shall there be any sale by Attunity of any securities in any state which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such state.  SAFE HARBOR    

 *  © 2017 Attunity  *  © 2017 Attunity  WELCOME 

 September 7, 2017  ATTUNITY – CHANGING DATA INTEGRATION   ANALYST AND INVESTOR DAY   Shimon AlonChairman and CEO  

 September 7, 2017  ATTUNITY – CHANGING DATA INTEGRATION   ANALYST AND INVESTOR DAY   Shimon AlonChairman and CEO  

 *  © 2017 Attunity  *  © 2017 Attunity  ATTUNITY – MODERN DATA INTEGRATION  Make data available and ready for analytics across diverse platforms on-premise and in the Cloud  With the most universal, hybrid and real-time data delivery platform  #1 provider of CDC Breadth and depth of source/target support Agile automation for data integration flows  WHAT WE DO  HOW WE DO IT  WHY WE DIFFER  The modern platform for companies building Data Lakes, Streaming Architectures and moving to the Cloud 

 *  © 2017 Attunity  STRATEGIES FOR CONTINUED GROWTH  MARKET OPPORTUNITIESSOLUTION INNOVATIONDISTRIBUTION EXPANSION 

 *  © 2017 Attunity  *  © 2017 Attunity  AGENDA – MARKETS   Session  Speaker  Market Disruptions and Growth Opportunities   Mike GualtieriVP and Principal AnalystFORRESTER   Attunity Market Opportunity  Itamar AnkorionCMO  OPPORTUNITIES 

 *  © 2017 Attunity  *  © 2017 Attunity  AGENDA – SOLUTIONS  Session  Speaker  Attunity Product and Solution HighlightsInnovation Demos  Dan PotterVP Products Allen SkeesVP Engineering  Data Lakes with SAP Data – Customer Testimonial  Arvind RajagopalanVERIZON   INNOVATION 

 *  © 2017 Attunity  *  © 2017 Attunity  AGENDA – REVENUE GENERATION  EXPANSION  Session  Speaker  Attunity Sales Organization  Shimon AlonCEO  Selling Large Deals to Fortune 100 Companies  David CollinsVP Sales  Supporting Growth with Professional Services  Sami ZeitounVP Technical Operations 

 *  © 2017 Attunity  *  © 2017 Attunity  AGENDA – DISTRIBUTION  Session  Speaker  Partner presentation – Microsoft  Sudhakar SannakkayalaGMMicrosoft  Partner presentation – Hortonworks  Nadeem AsgharField CTOHortonworks  Strategic OEM Channel  Itamar AnkorionCMO  ACCELERATION 

 *  © 2017 Attunity  *  © 2017 Attunity  AGENDA – SUMMARY  Session  Speaker  Financial Highlights  Dror ElkayamCFO  Closing Remarks – turning Big Data to Big Business  Shimon AlonCEO  GROWTH 

 *  © 2017 Attunity  STRATEGIES FOR CONTINUED GROWTH  MARKET OPPORTUNITIES 

 *  ATTUNITY MARKET OPPORTUNITY  Itamar AnkorionCMOATTUNITY 

 *  © 2017 Attunity  HUGE MARKETS DRIVING IT INVESTMENTS   RESHAPING DATA MANAGEMENT &CREATING TRANFORMATIONAL CAPABILITIES  $210B  BIG DATA & BUSINESS ANALYTICS  $411B  CLOUD COMPUTING  $1,300B  INTERNET OF THINGS  Sources:Big Data & Business Analytics revenues forecast to be $210B by 2020, IDC 2017Public Cloud Service Market size, $411B by 2020, Gartner 2017 WW Public Cloud Services marketIoT spending forecast to be ~1.3T by 2020, IDC 2017 Worldwide spending guide 

 *  © 2017 Attunity  *  © 2017 Attunity  CLOUD  STREAMING  DATA LAKES  SHIFT TO MODERN DATA ARCHITECTURES   ON PREM  DATA WAREHOUSE  BATCH 

 *  MARKET DISRUPTIONS AND GROWTH OPPORTUNITIES  Mike Gualtieri VP and Principal Analyst FORRESTER 

 Trends Driving The Next Wave Of Enterprise Big Data  Mike Gualtieri, VP & Principal Analyst  Twitter: @mgualtieriLinkedin: mgualtieri  September 7, 2017 New York, New York  

 #BigData 

 Some say that data is the new oil. 

 It’s more like the Sun – virtually limitless. 

 © 2015 Forrester Research, Inc. Reproduction Prohibited  *  Every industry is graced with more data  Richer transactional data from portfolio of hundreds of business applicationsUsage and behavior data from web and mobile appsSocial media dataLog dataIoT device sensor and event data Data economy – firms buying and selling data 

 Every enterprise seeks to become data-driven. 

 Data integration is the requisite killer app because enterprise insights can’t happen without it. 

 #Forecast 

 © 2015 Forrester Research, Inc. Reproduction Prohibited  *  Twitter: @mgualtieri  Big data integration will reach 1.6B by 2019  Source: Forrester Research  CAGR 18.1% 

 #Priorities 

 For you  For all  For segments  For you  Demographic Relationships  Hyper-Personal, Real-Time Relationships  Personal Relationships  Mass Relationships  Customer Experience  1800  1900  1950  2000  2015 

 #Celebrity 

 Customers want and increasingly expect to be treated like celebrities. 

 Learn individual customer characteristics and behaviorsDetect customer needs and desires in real-timeAdapt applications to serve an individual customer in real-time  Celebrity experiences must: 

 #Quiz 

 © 2015 Forrester Research, Inc. Reproduction Prohibited  *  How well do you know this consumer?  Male35 years oldSingleResides in New York CityMakes $100,000 per year  What do you predict he would do if the bank accidently transferred $5,000 into his bank account?Give the money backTake the money and run  Quiz  Please refrain from answering if you have taken this quiz before. 

 #AI 

 Enterprises believe the benefits of AI will be to improve customer experience, products, and business models 

 Pragmatic 1  Pragmatic 2  Pragmatic 3  AI consists of one or more building block technologies   Good Enough  Pretty Good  Creepy Good 

 *  © 2017 FORRESTER. REPRODUCTION PROHIBITED.  AI adoption gains momentum.  Base: 2094 and 2106* data and analytics decision-makersSource: Forrester Data Global Business Technographics® Data And Analytics Survey, 2016 and 2017  Q.A13: What are your firm's plans to use the following analytics technologies?(Artificial intelligence) 

 Enterprises can use AI building blocks today to add a modicum of intelligence to applications  Pragmatic AI  Nope!        Yep! 

 #Analytics 

 Use analytics to hyper-personalize customer experiences, business processes, and decisions of all kinds. 

 © 2015 Forrester Research, Inc. Reproduction Prohibited  *  Twitter: @mgualtieri  Numerous analytical methods are necessary for all enterprises  Self-service analyticsDescriptive analyticsPredictive analyticsStreaming analyticsSearch analytics  Text analyticsLog analyticsGraph analyticsMathematical optimizationArtificial intelligence 

 Enterprises need multiple analytical engines to get the job done. 

 

 It’s not just about the data warehouse anymore… 

 # 

 #Data 

 110010011011001  010010011011001  010011001101101  010010011011001  Customer data  Transactions  Applications  Logs  Enterprises have dozens, hundreds, or thousands of applications that generate valuable data. 

 *  © 2017 FORRESTER. REPRODUCTION PROHIBITED.  Volumes of data continue to be on the rise.  Base: 2106 global data and analytics technology decision makersSource: Forrester Data Global Business Technographics® Data And Analytics Survey, 2015, 2016 and 2017  Q.DM1: Using your best estimate, about how much data is currently stored within your company? 

 Enterprises create data lakes to make analytics possible, but they usually need more than one. 

 Hadoop launched the data lake phenomenon.  

 © 2015 Forrester Research, Inc. Reproduction Prohibited  *  Twitter: @mgualtieri  Hadoop in the cloud is changing the market. 

 *  © 2017 FORRESTER. REPRODUCTION PROHIBITED.  Investment in data lake architectures continues to grow  Base: 2106 global data and analytics professionalsSource: Forrester Data Global Business Technographics® Data And Analytics Survey, 2017 

 Data integration must fill data lakes wherever and with whatever technology they are built with. 

 #Streaming 

 All data originates in real-time! 

 But, analytics to gain insights is usually done much to late. 

 Insights are perishable. 

 Real-time insights  Operational insights  Performance insights  Strategic insights  Insight: Shopping for furnitureAction: Recommend cleaning supplies  Insight: Profit lower than goalAction: Optimize price  Insight: Demand forecast strongAction: Increase inventory  Insight: Furniture demand highAction: Expand product line  Time to Act  Perishability  Sub-second to seconds  Seconds to hours  Days to weeks  Weeks to years  Sub-second to seconds  Seconds to hours  Hours to weeks  Weeks to years  Enterprises must act on a range of perishable insights to get value from data and analytics 

 Most analytics operations are too slow   Business Value   Time To Action  Data originated  Analytics performed  Insights gleaned  Action taken  Outdated insights  Impotent or harmful actions  Positive  Negative  Decision made  Poor decision 

 How you detect customer SLA problems right now? 

 How can IoT data be used to predict machine failure right now? 

 Data integration must quickly stream data to multiple analytical engines! 

 #Cloud 

 Cloud use for data and analytics is surging. 

 *  © 2017 FORRESTER. REPRODUCTION PROHIBITED.  Public Cloud big data services are at the top of the list.  Base: 2106 global data and analytics technology decision makersSource: Forrester Data Global Business Technographics® Data And Analytics Survey, 2017 

 Source: a commissioned study conducted by Forrester Consulting on behalf of a Forrester client, May 2017  Base: 211 IT directors and above with responsibilities for data management  “What types of cloud environments does your organization currently have in place?”  It’s not cloud versus on-premise; it’s both 

 Source: A commissioned study conducted by Forrester Consulting on behalf of a Forrester client, May 2017  “To the best of your knowledge, to what extent do you expect your firm's use of public cloud for data and analytics to change over the next year?”  Base: 319 IT directors and above with responsibilities for data management  Cloud use for data and analytics is surging!  

 Data integration must seamlessly connect on-premise and multiple clouds! 

 #Budget 

 68  © 2016 Forrester Research, Inc. Reproduction Prohibited  52% of data and analytics technology decision-makers increased their budgets for data and analytics from 2015 to 2016 

 #Integration 

 Legacy data integration technologies are a major obstacle because:  They weren’t designed for gnarly dataThey weren’t designed to be real-timeThey certainly weren’t designed to synergize on-premise and cloud infrastructure 

 # 

 110010011011001  010010011011001  010011001101101  010010011011001  Customer data  Transactions  Applications  Logs  Source data from dozens, hundreds, and thousands of internal and external sources of data. 

 Stream data at a moments notice. 

 Scale to handle any amount of data. 

 Protect confidential information. 

 Support multiple clouds. 

 #AI 

 78  © 2016 Forrester Research, Inc. Reproduction Prohibited  Data integration is a huge pre-requisite to AI success.  Pragmatic AI  Yep!  Prerequisite 

 #Quiz 

 © 2015 Forrester Research, Inc. Reproduction Prohibited  80  How well do you know this consumer?  Male35 years oldSingleResides in New York CityMakes $100,000 per year  What do you predict he would do if the bank accidently transferred $5,000 into his bank account?Give the money backTake the money and run  Quiz 

 George Costanza 

 Thank you  Mike Gualtierimgualtieri@forrester.comTwitter: @mgualtieri 

 *  © 2017 Attunity  *  © 2017 Attunity  Data Science. Advanced Analytics. AI.Real time processing of data in flightTransactions + new sources (IoT…)Predictive view  ENABLING MODERN ANALYTICS  Business AnalysisBatch analysis of data at restTransactional sourcesHistorical view  Traditional Analytics  Modern Approaches  MODERN ANALYTICS NEEDS MODERN DATA ARCHITECTURES 

 *  © 2017 Attunity  92  © 2017 Attunity  MODERN DATA ARCHITECTURES DRIVE STRATEGIC INVESTMENTS  Sources:Markets and Markets: The data lakes market size is estimated to grow from USD 2.53 Billion in 2016 to USD 8.81 Billion by 2021, at a Compound Annual Growth Rate (CAGR) of 28.3%Markets and Markets: The streaming analytics market is estimated to grow from USD 3.08 Billion in 2016 to USD 13.70 Billion by 2021, at a Compound Annual Growth Rate (CAGR) of 34.8%Gartner: The Cloud application infrastructure and middleware market size is estimated to grow from 2.1B in 2016 to 4.9B by 2021, Gartner 2017 WW Public Cloud Services  DATA LAKES  STREAMING  CLOUD  DATA WAREHOUSE  BATCH  ON PREM  2.5B  8.8B  3B  13.7B  2.1B  4.9B 

 *  © 2017 Attunity  *  © 2017 Attunity  DATA LAKES – MARKET OPPORTUNITY   Analyze everything (IoT)New analytics (Predictive, AI)Expensive EDW offload  Scale (10-100x sources)Complexity (manual coding)Management  Automated and scalable data pipelines enable new analytics and drive Data Lake ROI  Motivators  Challenges  Opportunity 

 *  © 2017 Attunity  92  © 2017 Attunity     EXAMPLE – ENTERPRISE DATA LAKE@ FORTUNE 100 CUSTOMER     Legacy Data Environment  Future Data Environment  DATA INGESTION  4000+ Data Environments200+ Data WarehousesLegacy Mainframe to Modern Servers  Corporate Data LakeModern InfrastructureReal-Time Data Visibility  REAL-TIME  PREDICTIVE  AI 

 *  © 2017 Attunity  *  © 2017 Attunity  STREAMING – MARKET OPPORTUNITY  Real-time processingReal-time analyticsAgile architecture (micro services)  Databases are not streamsComplexity (metadata)Heterogeneous streaming  Converting databases to data streams to enable real-time analytics across universal streaming platforms  Motivators  Challenges  Opportunity 

 *  © 2017 Attunity  *  © 2017 Attunity  CLOUD – MARKET OPPORTUNITY  Outsource the data centerElastic resources, ScalabilityAgile, Faster DevelopmentNew analytic platform  Efficient data transfer Vendor lock-inComplex hybrid architecture  Data mobility and efficient data pipelines enable migrations and agile analytics across cloud platforms  Motivators  Challenges  Opportunity 

 *  © 2017 Attunity  89  © 2017 Attunity  WHERE IS THE DATA COMING FROM?  45% market share RDBMS  80% of the corporate data on mainframes  64,000 unique companies globally           TARGETING LION’S SHARE OF ENTERPRISE DATA 

 *  © 2017 Attunity  90  © 2017 Attunity  *  *  ATTUNITY’S MARKET OPPORTUNITY  Data Lakes, Streaming Architectures, and Cloud are reshaping IT     Billions in Addressable Market >1B for Big Data Integration per Forrester, >4.5B Data Integration & Quality per Gartner     Legacy Data Integration technologies are an obstacle    

             We are CHANGING Data integration   2017 GARTNER MQ FOR DATA INTEGRATION  Source: 2017 Gartner Magic Quadrant for Data Integration Tools, Mark A. Beyer, Eric Thoo, Mei Yang Selvage, Ehtisham Zaidi, August 2017    ATTUNITY RECOGNIZED AS A MARKET CHALLENGERAttunity’s strengths: Robust data replication across platformsTime to valueModern platform for Hadoop, Streaming, Cloud FASTEST GROWING MARKET $4.7B in 2017                               Informatica  IBM  SAP  Talend  Oracle  SAS  Information Builders  Cisco  Denodo  Microsoft  Adeptia  Actian  Syncsort  Pentaho      Attunity  CHALLENGERS  LEADERS  NICHE PLAYERS  VISIONARIES  ABILITY TO EXECUTRE  COMPLETENESS OF VISION  As of August 2016                         

 *  © 2017 Attunity  WE ARE CHANGING DATA INTEGRATION   2017 GARTNER MQ FOR DATA INTEGRATION  Source: 2017 Gartner Magic Quadrant for Data Integration Tools, Mark A. Beyer, Eric Thoo, Mei Yang Selvage, Ehtisham Zaidi, August 2017  ATTUNITY RECOGNIZED AS A MARKET CHALLENGERAttunity’s strengths: Robust data replication across platformsTime to valueModern platform for Hadoop, Streaming, Cloud FASTEST GROWING MARKET $4.7B in 2017   Informatica  IBM  SAP  Talend  Oracle  SAS  Information Builders  Cisco  Denodo  Microsoft  Adeptia  Actian  Syncsort  Pentaho  Attunity  CHALLENGERS  LEADERS  NICHE PLAYERS  VISIONARIES  ABILITY TO EXECUTRE  COMPLETENESS OF VISION  As of August 2016 

 *  © 2017 Attunity  92  © 2017 Attunity  GROWING AWARENESS AND DEMAND  Automated NurtureLDR TeamDevelop inboundProspect outbound  NURTURE  Refer customers Amplify awareness and lead genJoint solutions with Cloud & Data Lake vendorsMarket to SI companies building modern solutions  PARTNERS  Events Thought leadershipSearch MarketingSocial MarketingAnalyst Relations  BRAND 

 PRODUCT AND SOLUTION INNOVATION HIGHLIGHTS  Dan PotterVP ProductsATTUNITY  Allen SkeesVP EngineeringATTUNITY 

 *  © 2017 Attunity  © 2017 Attunity  EFFICIENT DATA PIPELINES  2 

 *  © 2017 Attunity  © 2017 Attunity  EFFICIENT DATA PIPELINES  Transport where and when it is needed, the faster the better, without disruption  2 

 *  © 2017 Attunity  © 2017 Attunity  EFFICIENT DATA PIPELINES  Insight on usage, capacity planning and identifying where to drill  Transport where and when it is needed, the faster the better, without disruption  2 

 *  © 2017 Attunity  © 2017 Attunity  EFFICIENT DATA PIPELINES  Insight on usage, capacity planning and identifying where to drill  Transport where and when it is needed, the faster the better, without disruption  Refined into a shape and format for analytic consumption  2 

 *  © 2017 Attunity  © 2017 Attunity  EFFICIENT DATA PIPELINES  Insight on usage, capacity planning and identifying where to drill  Transport where and when it is needed, the faster the better, without disruption  Refined into a shape and format for analytic consumption  Manage the global supply chain  2 

 *  © 2017 Attunity  © 2017 Attunity  EFFICIENT DATA PIPELINES  Insight on usage, capacity planning and identifying where to drill  Transport where and when it is needed, the faster the better, without disruption  Refined into a shape and format for analytic consumption  VISIBILITY  REPLICATE  COMPOSE  Manage the global supply chain  2  ATTUNITY ENTERPRISE MANAGER 

 *  © 2017 Attunity  “You will not find it difficult to prove that battles, campaigns, and even wars have been won or lost primarily because of logistics.”Dwight D. Eisenhower  3 

 *  © 2017 Attunity  *  © 2017 Attunity  MODERN DATA INTEGRATION PLATFORM  Global Management & Control  Attunity Enterprise Manager  On Premises / Cloud  HADOOP  FILES  RDBMS  EDW  NOSQL  MAINFRAME  Universal Data Integration  SAP Replication  Automated ETL & Modeling  Attunity Replicate  Attunity Replicate for SAPAttunity Gold Client  Attunity Compose for HiveAttunity Compose for DW  Data Usage & Workload Analytics  Attunity Visibility  Deliver solutions versus products More effectively upsell and cross-sell Attunity Enterprise Manager (AEM) is the common, unifying layer   4 

           Real-time Replication for SAP  Native SAP integration Simplified mapping of complex SAP data modelDecode the proprietary source structuresAll core and industry-specific SAP modulesIntegrate real-time with all major targetsDeliver to Data Lakes, Cloud, et alMove external data into SAP HANA         Over 200 enterprises use Attunity for SAP data movement        DATABASE                                                                                            SOFTWARE                                                     

 *  © 2017 Attunity  REAL-TIME REPLICATION FOR SAP  Native SAP integration Simplified mapping of complex SAP data modelDecode the proprietary source structuresAll core and industry-specific SAP modulesIntegrate real-time with all major targetsDeliver to Data Lakes, Cloud, et alMove external data into SAP HANA     Over 200 enterprises use Attunity for SAP data movement  DATABASE  SOFTWARE 

 *  © 2017 Attunity     AUTOMATING A DATA LAKE PIPELINE  REAL-TIME DATA INGESTION  FILES  RDBMS  DATA WAREHOUSE  MAINFRAME  7 

 *  © 2017 Attunity     AUTOMATING A DATA LAKE PIPELINE  REAL-TIME  HISTORIC  FILES  RDBMS  DATA WAREHOUSE  MAINFRAME  TRANSFORM & UPDATE  7 

         Compose for hive  TRANSFORM & UPDATE DATA  REAL-TIME  HISTORIC                                                Automate the creation of analytics-ready data lakesOperational data stores for BI/ReportingHistoric data stores for AI and advanced analyticsReconciles data insertions, updates and deletionsNo manual coding; no disruptionsContinuous data updatesRecognizes and responds to source data structure changes                  8 

 *  © 2017 Attunity  COMPOSE FOR HIVE  TRANSFORM & UPDATE DATA  REAL-TIME  HISTORIC  Automate the creation of analytics-ready data lakesOperational data stores for BI/ReportingHistoric data stores for AI and advanced analyticsReconciles data insertions, updates and deletionsNo manual coding; no disruptionsContinuous data updatesRecognizes and responds to source data structure changes  8 

 *  © 2017 Attunity  Hide underlying complexityInclude all customizationsNative app extension  1  Universal integrationSimply powerfulChange data streams  2  No manual codingComplete transactional integrityBoth operational & historic data   3  REAL-TIME  HISTORIC  AUTOMATING A DATA PIPELINE  TRANSFORM & UPDATE DATA  UNLOCK COMPLEX DATA  16 

 *  © 2017 Attunity  REAL-TIME  HISTORIC  REAL-TIME DATA INGESTION  AUTOMATING A DATA PIPELINE  TRANSFORM & UPDATE DATA  ULOCK COMPLEX DATA  16  Faster time to analytic valueReduce cost and risk of manual processesIngestion, creating and maintaining data schemas, reconciling inserts/updates/deletes 

 *  © 2017 Attunity  UNIVERSAL CLOUD SUPPORT   REDSHIFT  RDS  EC2  EMR  Kinesis  AWS S3  SQL DW  SQL DB  Azure VM  HDInsight  Event Hubs  ADLS   Big Query  Cloud SQL  Compute  Dataproc  Pub/Sub  Storage  Q4  Q4  ‘18  ‘18  ‘18  ‘18  Attunity is the #1 database migration technology for the cloud  ‘18  Q4  Q4 

 *  © 2017 Attunity  *  © 2017 Attunity  STREAMING ENTERPRISE DATA  Generating real-time events   One-to-many event publication  Facilitates integration and usage by streaming analytics platforms  Database as a Stream  Universal Streaming   Stream Metadata  KAFKAAMAZON KINESISAZURE EVENT HUBSCONFLUENTMAPR STREAMS   10 

 *  © 2017 Attunity  UNIVERSAL DATA INTEGRATION   RDBMS  OracleSQL ServerDB2 iSeriesDB2 z/OSDB2 LUW MySQLPostgeSQLSybase ASEInformix  DW  ExadataTeradataNetezzaVertica  HortonworksClouderaMapR  HADOOP  DB2 for z/OSIMS/DBVSAMSQL/MPEnscribeRMS  MAINFRAME  AWS RDSSalesforceSnowflake  CLOUD  RDBMS  OracleSQL ServerDB2 LUWMySQLPostgreSQLSybase ASEInformix  DW  Microsoft PDWExadataTeradataNetezzaVerticaSybase IQAmazon RedshiftActian VectorSAP HANA  HortonworksClouderaMapRPivotalAmazon EMR  HADOOP  MongoDB  NOSQL  Amazon RDSAmazon RedshiftAmazon EMRGoogle Cloud SQLGoogle Cloud DataprocAzure SQL DWAzure SQL DB  CLOUD  Azure Event HubsKafkaMapR  STREAMING  TARGETS  SOURCES  SAP  ECC on OracleECC on SQLECC on DB2  SAP  HANA  12 

 *  © 2017 Attunity  GLOBAL MANAGEMENT & CONTROL  ATTUNITY ENTERPRISE MANAGER  Operations  Analytics  Future…  Control tasks and monitor data flow across distributed environmentsMultiple data centersOn premises and cloud  Scale to 1,000s of tasks – single consoleUncompromised control and visibilityNew high availability cluster  Replicate Server  Replicate Server  Replicate Server 

 INSIGHT & OPTIMIZATION  ATTUNITY ENTERPRISE MANAGER  Operations  Analytics  Future…  Historical & near real-time reporting on Attunity servers and tasks Visualize and analyze to optimize operationsCapacity planningActivity and KPI trendsCapture, retain and organize operational metadata over timeOptimize Data Management (Q4)Identify underutilized data and one click movement to more cost efficient repository Integration of Replicate and Visibility – “Coldplay” 

 *  © 2017 Attunity  INSIGHT & OPTIMIZATION  ATTUNITY ENTERPRISE MANAGER  Operations  Analytics  Future…  Historical & near real-time reporting on Attunity servers and tasks Visualize and analyze to optimize operationsCapacity planningActivity and KPI trendsCapture, retain and organize operational metadata over timeOptimize Data Management (Q4)Identify underutilized data and one click movement to more cost efficient repository Integration of Replicate and Visibility – “Coldplay” 

 *  © 2017 Attunity  DATA WAREHOUSE OFFLOAD TO CLOUD  Create structure & update data  Real-time  Historic  Identify underutilized dataAnalyze impactClick to archive  1  Tasks automatically executedUniversal integrationWAN optimized & secure  2  DB, DW, Hadoop, Stream, Storage supportCloud hosted options   3  17  MASS DATA TRANSFER 

 *  © 2017 Attunity  DATA WAREHOUSE OFFLOAD TO CLOUD  Create structure & update data  Real-time  Historic  MASS DATA TRANSFER  17  Cost reduction - $1K/terabyte for Hadoop vs $30K/terabyte for traditional EDWAvoid vendor lock-in 

 *  © 2017 Attunity  OUR CUSTOMERS HAVE SPOKEN 

 *  © 2017 Attunity  STRATEGIES FOR CONTINUED GROWTH  DISTRIBUTION EXPANSION 

           Go-to-Market Strategy  1  80% - 90%Direct Sales  LICENSE REVENUE COMPOSITION    ATTUNITY SELLS THROUGH DIRECT SALES, RESELLERS AND OEM PARTNERS                    10% - 20%OEM                                        SALES AND BD REPS:                       AMERICAS  EMEA  APAC  BIG DATA PARTNERS 

 *  © 2017 Attunity  *  © 2017 Attunity  *  *           DIRECT SALES STRATEGY        FIELD SALES   INSIDE SALES      MARKETING  TERRITORIES  MAJOR ACCOUNTS/INDUSTRIES  LEAD GENERATION 

 David CollinsVice President, SalesATTUNITY  BIG DATA = LARGE DEALS 

 INCREASINGLY LARGER TRANSACTIONS WITHIN THE FORTUNE 500   *  David CollinsVice President, SalesATTUNITY 

 Increasingly Larger Transactions Within the Fortune 500   1  David CollinsVice President, SalesATTUNITY   

 Agenda    Evolution of the Typical Sales Engagement  Market Drivers  Data Points  Questions 

 Most transactions were based upon “project based” engagements where customers solved relatively simple Point A to Point B data migration problems. We were considered a tool to solve the data integration challenges similar to Oracle Goldengate and Informatica  Evolution in the Last 24 Months  2015 2016 2017  Value accommodated customer point-2-point needs, competing with traditional data replication Only one enterprise transaction greater that $1M in our history   

 Average enterprise data integration deal more than doubled Conversation shifted away from a tool to a platform component of the new enterprise data architecture Value to the customer was dramatically greater and increased competitive differentiation Three $1M+ transactions completed with growing pipeline of new such opportunities  Evolution in the Last 24 Months  2015 2016 2017   

 Average enterprise data integration deal size continues to growConversation continues to transition away from a tool to a platform component of the new enterprise data architecture Value to the customer is very strategic and continues to increase while the competitive differentiation continues to widenFive $1M+ transactions completed and accelerating pipeline growth of over twenty new opportunities in the Eastern Region  Evolution in the Last 24 Months  2015 2016 2017   

 So What Are the Drivers?   Emergence of the Data Lake Architecture  Explosion of the Cloud as a new destination for enterprise data  The wholesale shift in enterprise data migration patterns  1  2  3  Re-tooling of the Attunity Salesforce  4  Expanded platform and product suite in the sales portfolio  5 

 Heterogenous – Any legacy data to any analytic platformFast and Scalable – High volume and in Real-timeEasy to do business with  How They Find Us and Why Do They buy?  Attunity Marketing and Demand GenerationEco-system partners  Prospective Customers find us via one of two methods:  They purchase Attunity for three key reasons: 

 A different breed of sales management and field sales resourcesConvincing the customer that their Enterprise Data Architecture requires a real-time, heterogenous universal data integration capacityCustomers are interested in a “result” instead of a piece of technologyEco-System partnerships because Big Data is heterogenous Lots of patience as these deals take timeSizeable $1M+ pipeline to smooth out the revenue lumpinessCrisp execution between all of Attunity’s departments   What does it take to develop large deals?                         

 Eastern Region Data Points     $1M+ Closed Deals             $1M+ Future Pipeline, as of  Sales Staff over 100% of quota   2015 = 12016 = 22017 = 2 already   Q3 2015 = 2Q3 2016 = 7Q3 2017 = 30  2015 = 2 out of 52016 = 3 out of 6e2017 = 7 out of 9 

 10  Growth with Professional Services  Sami ZeitounVP Technical OperationsATTUNITY 

 Accommodate Customer needs & Challenges 

 The Right team for a Successful Deployment  A cross-organization team and effort, to ensure a successful deployment across multiple environments and productsProfessional ServicesCenter of ExcellenceCTO GroupProduct ManagementR&D 

 Attunity COE – Center of excellence  A team of highly technical engineers, providing in-depth technical support for the field teams, augmenting PS with deep subject matter expertise:Deep subject matter expertiseYears of experienceCustomer oriented  

 Consulting Services  Architecture ReviewsEnsure that the correct products and implementation artifacts are identified and definedCapacity PlanningAccording to architecture guidance, define the optimal topologies and implementation artifacts, to meet current and future volumes and expected data growthPeriodic Health Checks and Performance OptimizationEnsure that the growth and changes in the customer’s environment, is reflected properly in the product implementation, and that the gaps are identified and closed  

 Implementation Services   Integrated Professional Services resources in the customer projectOnsite presence for better communication and continuityAssist in product installation, upgrade and training, as well as implementing the productImplement best-practices based on the customer’s need and processesSubject Matter Experts (SMEs) and Center of Excellence (COE) involvement on demandRelevant SMEs are brought to the implementation as neededCOE are involved in advanced configuration and tuningCOE are involved in building an in depth knowledge base within the customer’s users 

 Ford - How Does It All Work?  What are they doing? Building a data lake with data feeds streaming from factory data, car sensors and IOT to enable the business to run analytics across the entire organizationCapturing data from multiple databases, ingesting it into a large Hadoop clusterLong-term onsite presence of professional services, augmented with Subject Matter Experts and Center of ExcellenceThe expanded team was able to overcome knowledge and technological challenges, and ensure the project successTechnical Account Manager is orchestrating the entire technical operationWas able to identify new sales opportunities (Compose for Hive, as well as moving IMS and SAP data to Hadoop) 

 Summary – Growing revenues with PS 

 PS Revenue Trend 

 19  Accelerating growth with partners  Itamar AnkorionCMOATTUNITY 

 Accelerating growth with partners  

 21  Microsoft and Attunity partnership  Sudhakar SannakkayalaGeneral Manager, Microsoft Database Systems MICROSOFT 

 Microsoft Data Platform   Sudhakar SannakkayalaGeneral Manager Data MigrationsMicrosoft Database Systems 

 cloud  data  intelligence   

           Ingest, Integrate, Analyze, Deploy  Learning Functions  Cloud Scale Out     Azure Batch Learning  FPGA / GPU  Cloud Compute      Analytics & AI Tools  Azure Machine Learning  Microsoft R ServerCNTK (Cognitive Toolkit)  Azure Cognitive Services    Azure Data Lake  Azure Cosmos DB  SQL Server/SQL DB/SQL DW  Azure Analysis Services  Data Platform  Data + Intelligence + Cloud 

 Power your data estate with Azure      Business intelligence  Advanced Analytics & AI  Any language, any platform, anywhere    Structured  Unstructured      OLTP      MOBILE      ERP      LOB  Graph  Social  IoT  Media        DATA SOURCES  DATA INSIGHTS  Data virtualization  DATA MANAGEMENT   Data integration  Big data processing  Data warehousing  Operational data      SECURITY  FLEXIBILITY                                .NET  Azure     3rd  JAVA                                AzureHDInsight      Azure SQL Data Warehouse      AzureData Lake  Azure Document DB      Azure SQL Database    Power BI  Azure Machine Learning  Azure Stream Analytics  Azure Cognitive Services  More certifications than any other cloud provider    Azure Analysis Services 

   Windows, Linux and Docker ML & AI with In-DB R & PythonWorld’s Fastest DatabaseBuilt-in Support for Graph Data  SQL Server 2017                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               MICROSOFT CONFIDENTIAL – INTERNAL ONLY                                                                 

   Unlimited global read scale with chained geo replicationAutomatic failover policy Data replication to any Azure Region  Azure SQL Database  Fully Managed, Global Read-Scale, RDBMS Service  Get the best growth and performance at any scale 

 Azure Data Lake & SQL Data Warehouse      AZURE DATALAKE STORE  AZURE TABLES  AZURE SQL DATABASE    AZURE MACHINE LEARNING  ADDITIONAL SOURCES    AZURE SQL DATA WAREHOUSE    POWER BI + EXCEL  3RD PARTY TOOLS                                AZUREHDINSIGHT      Provision in minutes, scale compute in seconds  Save big with pause/resume for batch-based workloads  Unmatched innovations in security—Threat Detection  Integrated T-SQL query across Hadoop clusters via PolyBase  Delivers true promise of cloud elasticity to data warehousing 

                                    Azure Database Migration ServiceLimited PreviewAzure SQL Database Managed InstanceLimited PreviewAzure Database for MySQLPublic PreviewAzure Database for PostgreSQLPublic Preview  New Managed Database Services            SQL DB 

 Transform through a differentiated business modelLower TCO and increase ROIAddress security and compliance needsInnovate continuously, both on-premises and in the cloud    Data Modernization     Realize The Potential Of The Platform 

 Transform through a differentiated business modelLower TCO and increase ROIAddress security and compliance needsInnovate continuously, both on-premises and in the cloud    Data Modernization     Realize The Potential Of The Platform 

 1  Database Migration Guide  2  Tools And Services  3  Partner Ecosystem  Data Migration 

 Database Migration Guide  One-stop-shop guide for database migrationsStep-by-step guidance from by source and targetRecommended Partners, Customer case studies 

 Data Migration Assistant  https://blogs.msdn.microsoft.com/datamigration/dma/  SQL DB  SQL  SQL  Oracle  SQL Server Migration Assistant  SQL DB  SQL  Sybase  DB2  MySQL  https://docs.microsoft.com/en-us/sql/ssma/sql-server-migration-assistant 

   Azure Database Migration Service  Fully managed database migration service for both operational databases and data warehousesSupports minimal down time migrationsSupports both homogeneous and heterogeneous source-target pairs  Reliable & Seamless migrations to the Cloud  SQL Server   Azure SQL Database & Managed Instance  MySQL  Azure Database for MySQL  PostgreSQL  Azure Database for PostgreSQL  Oracle, …  Azure SQL Database & Managed Instance  Netezza, …  Azure SQL Data Warehouse  SQL  SQL DB  SQL    SQL  SQL DB  Oracle  PREVIEW 

 Azure Database Migration Service  Fully managed database migration service for both operational databases and data warehousesSupports minimal down time migrationsSupports both homogeneous and heterogeneous source-target pairs  SQL Server   Azure SQL Database & Managed Instance  MySQL  Azure Database for MySQL  PostgreSQL  Azure Database for PostgreSQL  Oracle, …  Azure SQL Database & Managed Instance  Netezza, …  Azure SQL Data Warehouse  SQL DB  SQL  SQL DB  Oracle  PREVIEW 

 https://aka.ms/attunity-replicate  http://attunity.com/microsoftmigrations  Questions? attunity-replicate@microsoft.com 

 SQL Database   SQL Data Warehouse   Azure Data Lake  Azure Event Hubs 

 *  HORTONWORKS AND ATTUNITY PARTNERSHIP  Nadeem AsgharVP, Global Head of Technology AlliancesHORTONWORKS 

 *  © Hortonworks Inc. 2011 – 2017. All Rights Reserved  *  © Hortonworks Inc. 2011 – 2017. All Rights Reserved  Sep 2017 

 *  © Hortonworks Inc. 2011 – 2017. All Rights Reserved  IoT  600B ZB39x higher than traditional data center traffic  0.6 ZB7x increase over 2016  14.1 ZB3.7x increase over 2015  Mobility  Cloud  Source: Cisco: VNI Global Fixed and Mobile Internet Traffic Forecasts  Data Tsunami By Year 2020 

 *  © Hortonworks Inc. 2011 – 2017. All Rights Reserved  INTERNET OF THINGS  ARTIFICIAL INTELLIGENCE  CLOUD COMPUTING  Legacy Enterprise IT is overwhelmed with volume, diversity and speed of data coming from everywhere and not capable of dealing with it  STREAMINGDATA  Megatrends Disrupting Traditional Data Paradigm  

 *  © Hortonworks Inc. 2011 – 2017. All Rights Reserved  Hortonworks Connected Data Platforms addresses the Data Paradigm Shift  MANAGE DATA LAKES FOR ALL TYPES OF DATACompatible with structured, semi-structured, un-structured data  Apache is a trademark of the Apache Software Foundation.   MANAGE IoT AND STREAMING DATA IN THE MOMENTCapture data-in-motion and perishable insights from connected devices  SUPPORT THE REQUIREMENTS OF CONNECTED DATA ARCHITECTURELeverage cloud and data-center for a complete solution  DATA IN MOTION  DATA AT REST  CLOUD AND DATA CENTER 

 *  © Hortonworks Inc. 2011 – 2017. All Rights Reserved  Capture streaming dataDeliverperishable insightsCombinenew & old data  Store data foreverAccess a multi-tenant data lakeModelwith artificial intelligence  DATA AT REST(Hortonworks Data Platform)  DATA IN MOTION(Hortonworks DataFlow)  ACTIONABLEINTELLIGENCE and Alerts  Perishable Insights  Historical Insights  Hortonworks Response: Connected Data Strategy 

 *  © Hortonworks Inc. 2011 – 2017. All Rights Reserved  Hortonworks Connected Data Platforms and Solutions  Data Services  Hortonworks SolutionsEnterprise DataWarehouse OptimizationCyber Security andThreat ManagementInternet of Thingsand Streaming Analytics  Data Center  Hortonworks Data Suite  HDF  HDP  HortonworksConnection 

 *  © Hortonworks Inc. 2011 – 2017. All Rights Reserved  Why Choose Hortonworks  ”We are the Linux of Big Data”Risk mitigation – open source gives you optionsNo vendor lock inRapid community innovationCustomer Success is our business modelFocused on project success, not technology successThe Connected Data Platform represents a total solutionFrom data creation to consumption (Data Warehouse, Data Science, Real-time query)All the way out to the edge with NiFi/MiNiFi (HDF to HDP)Security and Governance: All linked together 

 *  © Hortonworks Inc. 2011 – 2017. All Rights Reserved  Hortonworks Company ProfileFastest Company to reach $100MM Revenue  ONLY  100  open source Apache Hadoop data platform  %  Founded in 2011  HADOOP  1  ST  provider to go public  Dollar-basednet expansion rate(over trailing 4 quarters)  140%  employees across  countries  17  IPO 4Q14 (NASDAQ: HDP)  Support subscriptionOperating billings growth1 (year-over-year in 3Q16)  67%  ~1,150  1 Operating billings is an operating measure defined as the aggregate value of all invoices sent to our customers in a given period  Page *  © Hortonworks Inc. 2011 – 2017. All Rights Reserved 

 *  © Hortonworks Inc. 2011 – 2017. All Rights Reserved  Hortonworks: A Leader In Big Data Warehouses   Forrester:Through its open source strategy, Hortonworks continually evolves its offering by working closely with partners across the EDW ecosystem of tools and vendors. The vendor provides a cost-effective, nimble, and scalable architecture to implement big data warehouses, whether on-premises or in the cloud. All of the technology built into the Hortonworks Data Platform is an Apache open source project.  

 *  © Hortonworks Inc. 2011 – 2017. All Rights Reserved  Attunity and Hortonworks Connected Data Platforms  Attunity Replicate for HDP and HDFAccelerate time-to-insights by delivering solutions faster, with fresher data, from many sources Automated data ingest Incremental data ingest (CDC)Broad support for many sources  

 *  © Hortonworks Inc. 2011 – 2017. All Rights Reserved  Streaming Data Lake Ingest - Attunity CDC & Hortonworks HDF   Attunity - CDC  Hortonworks - HDF  AUTOMATED data ingest   Rapid deployments ofHUGE data lakes  Continuous REAL-TIMEChange Data Capture (CDC)  Continuous data refresh for RELEVANT analytics  BROAD support for many enterprise data sources  COMPLETE datasets across databases, DWs and mainframes 

       Data Warehouse Offload: Conceptual Architecture  1  •  •  •  •  •  •  •  •  •  •  •  •  •  •  •  •  •  HDFS (Hadoop Distributed File System)    Data Sources  Data Flow        Route    Enrich    Transform      Key CapabilitiesLeverage existing investment in CDC tooling which deliver parsed redo logs as events into KafkaData quality checks / cleansing / de-duplication / normalization / encryptionGranular control over cutover from legacy RDBMS to HadoopProvide fully auditable data lineage from source system to destinationOptimize network bandwidth utilization for data movement        ETL, Query, Report         

 Attunity Replicate enables continuous data ingest from operational databases and complements HDF with CDC to maximize the value of data in motion.  Joint Marketing - Hortonworks & Attunity Solutions  

 22  Strategic OEM channel with big upside  Itamar AnkorionCMOATTUNITY 

 The OEM  1  3 years, $9 Million technology licensing agreementIncorporate Attunity Replicate technology to facilitate and drive database migrations for several scenarios (specific AB)Limited to specific:Use – migration onlyTime – capped migration periodScenarios – specific set of AB migrations 

 *  © 2017 Attunity  *  © 2017 Attunity  THE OEM  *  3 years, $9 Million technology licensing agreementIncorporate Attunity Replicate technology to facilitate and drive database migrations for several scenarios (specific AB)Limited to specific:Use – migration onlyTime – capped migration periodScenarios – specific set of AB migrations 

 *  © 2017 Attunity  *  © 2017 Attunity  THE UPSIDE 

 *  Dror ElkayamCFOATTUNITY  FINANCIAL HIGHLIGHTS 

 *  © 2017 Attunity  *  © 2017 Attunity  TOTAL REVENUE AND LICENSE REVENUE – ANNUAL TREND 

 *  © 2017 Attunity  *  © 2017 Attunity  DIRECT LICENSE REVENUE – ANNUAL TREND  Direct sales force increased from 9 in 2011 to 31 in 2016Improved quality of sales team, including sales executivesSales force aligned to engage customers for large deals 

 *  © 2017 Attunity  *  © 2017 Attunity  DIRECT LICENSE – ANNUAL TRENDREPLICATE PLATFORM 

 *  © 2017 Attunity  *  © 2017 Attunity  SUBSTANTIAL DIRECT LICENSE REVENUE GROWTH - DEALS OVER $0.5M  

 *  © 2017 Attunity  *  © 2017 Attunity  SUBSTANTIAL DIRECT LICENSE REVENUE GROWTH - FOR HADOOP ENVIRONMENT 

 September 7, 2017  ATTUNITY – CHANGING DATA INTEGRATION   TURNING BIG DATA TO BIG BUSINESS  Shimon AlonChairman and CEO  

 September 7, 2017  ATTUNITY – CHANGING DATA INTEGRATION   TURNING BIG DATA TO BIG BUSINESS  Shimon AlonChairman and CEO