UNITED STATES
SECURITIES AND EXCHANGE COMMISSION
Washington, D.C. 20549
 
FORM 6-K

REPORT OF FOREIGN PRIVATE ISSUER PURSUANT TO RULE 13a-16
OR 15d-16 UNDER THE SECURITIES EXCHANGE ACT OF 1934

For the month of September 2018

Commission file number: 001-20892
 
ATTUNITY LTD.
(Name of registrant)
 
16 Atir Yeda Street, Atir Yeda Industrial Park, Kfar Saba, 4464321, Israel
 (Address of principal executive office)
_____________________

        Indicate by check mark whether the registrant files or will file annual reports under cover of Form 20-F or Form 40-F.  
 
Form 20-F ☒ Form 40-F ☐

        Indicate by check mark if the registrant is submitting the Form 6-K in paper as permitted by Regulation S-T Rule 101(b)(1): ☐

        Indicate by check mark if the registrant is submitting the Form 6-K in paper as permitted by Regulation S-T Rule 101(b)(7): ☐


 
CONTENTS

On September 13, 2018, representatives of Attunity Ltd. (the "Company," "Attunity" or "we") made presentations to investors using slides containing the information attached to this Form 6-K as Exhibit 99.1 (the “Investor Presentation”) and incorporated herein by reference.  
 
The information contained in the Investor Presentation is summary information that is intended to be considered in the context of the Company's Securities and Exchange Commission (“SEC”) filings and submissions and other public announcements that the Company may make, by press release or otherwise, from time to time.  The Company undertakes no duty or obligation to publicly update or revise the information contained in this report, although it may do so from time to time as its management believes is warranted.  Any such updating may be made through the filing or submission of other reports or documents with the SEC, through press releases or through other public disclosure.

By furnishing the Investor Presentation, the Company makes no admission as to the materiality of the information included in the Investor Presentation. The information in this Form 6-K shall not be deemed “filed” for purposes of Section 18 of the Securities Exchange Act of 1934, as amended (the “Exchange Act”), or otherwise subject to the liabilities of that section, and it shall not be deemed incorporated by reference in any filing under the Securities Act of 1933, as amended, or under the Exchange Act, whether made before or after the date hereof, except as expressly set forth by specific reference to this Form 6-K.

Exhibit
 
 

 
SIGNATURES
 
Pursuant to the requirements of the Securities Exchange Act of 1934, the registrant has duly caused this report to be signed on its behalf by the undersigned, thereunto duly authorized.
 
 
ATTUNITY LTD.
 
 
By: /s/ Dror Harel-Elkayam
 
Dror Harel-Elkayam
Chief Financial Officer and Secretary
 
Date: September 14, 2018
 


Exhibit 99.1
 
 Attunity 2018 Analyst & Investor Day  HOT MARKET | FAST GROWTH | LARGE OPPORTUNITY 
 

 September 13, 2018  Welcome and Attunity Growth Strategy  Analyst and Investor Day   Shimon AlonCHAIRMAN AND CEO  
 

 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  3 
 

          Q2’18 HIGHLIGHTS    Total Revenue Growth  70%  86%  2.1M  Term-Based License RevenueFor Attunity Replicate  License Revenue Growth  Non-GAAPOperating Income  Y/Y  $  47%  Y/Y 
 

 Aligned with Cloud adoption and Data Lake maturityCloud – accelerated adoption and Multi CloudData Lake – maturity driving scale and real-time needsBrand – stronger awareness and leadership recognition  Cloud – expanded offering, universal, multi-cloud (AWS, Azure, Google)Data Lake – expanded and unique value-prop with Compose for HiveSAP – unique offering  AWS – strategic alliance. Large data lakes.Microsoft – strategic alliance. Large data lakes.Hortonworks –partner of the yearSnowflake – new and fast growing, multi-cloud  Market  Products  Partners  DRIVERS for strong growth  Time-based – rapid adoption. Aligned with customer needs.Larger deals –expanded offering and up-sell oriented model   Strong Leadership Improved ProductivityMore Reps  Enhance investments in marketing, sales, and product Removes barriers with large customers/ deals  Pricing  Sales Team  Balance Sheet   
 

 Scaling to $200 Million  MARKET OPPORTUNITIES  SOLUTION INNOVATION  EXPANSION AND GROWTH   
 

 Agenda – Markets   Session  Speaker  Market Needs & Opportunities  Brian HopkinsVP AND PRINCIPAL ANALYST FORRESTER   OPPORTUNITIES   
 

 Agenda – Solutions  Session  Speaker  Vision & Roadmap  Itamar AnkorionCMO  Customer Success  Mark LoganPRESIDENT  Attunity Customer  Brandon LassiterDIRECTOR, EIM FERGUSON ENTERPRISES  Attunity Customer  Eric SchneiderCTO VERISK ANALYTICS  INNOVATION    Dan PotterVP PRODUCTS 
 

 Agenda – expansion  Session  Speaker  Attunity Partner   Chris HealeyVP Alliances SNOWFLAKE  Competitive Differentiation  Stephen FosterEVP Sales – Americas  GROWTH   
 

 Agenda – Summary  Session  Speaker  Financial Highlights  Dror ElkayamCFO  Q&A Session  Attunity Executives   Closing Remarks  Shimon AlonChairman and CEO  GROWTH   
 

 Market opportunity  11  Itamar AnkorionCMOATTUNITY 
 

 $205B by 2020 (1)        DATA LAKES    STREAMING  CLOUD    ON PREMISE    DATA WAREHOUSE  BATCH    Shift to Modern Data Architectures      2X DATA Every 2 Years (2)  82% Adopting Real-Time (3) 
 

 Market Trends and opportunities  13  Brian HopkinsVP and Principal Analyst FORRESTER 
 

 Brian HopkinsVP, Principal AnalystForrester Research  The Bronze Age Of Big Data  This deck is for events breakout presentations only. The three main goals of this deck:1. Remains legible to the audience in the back of a large keynote room. 2. It translates well to video and social media.3. It supports the brand. Use these yellow boxes for guidance on how various elements are meant to be used. Text should not be smaller than 32pt for titles and 28pt for body text. Text should not be smaller than 18pt on research graphic slides. If there are unique builds on certain slides, please indicate in the slide notes what kind of build you would like the design team to make.If using imagery, please see the following slide for information about legally using an image.If importing slides from other decks, please use guidance on slide three.  
 

  
 

   Customers are in charge 
 

  
 

    
 

   Insights-driven firms are winning 
 

 Source: Insights-driven Business Set The Pace for Global Growth 
 

   Exponential trends are still happening 
 

 Source: Statisica  Metcalfe’s Law: the effect of a telecommunications network is proportional to the square of the number of connected users of the system (n2)  Internet of Things (IoT) connected devices installed base worldwide from 2015 to 2025 (in billions) 
 

   What do these mean?  Source: Innoinsight.com    Reduced cost of understanding the worldReduced cost of software innovationIncrease the speed of business change 
 

   “2 x 3 times as fast”  “Double what it was”  “Exponential, crazy!” 
 

     How well does drafting workwhen the leader is accelerating faster than you can? 
 

 Source: Source: Forrester's Global Business Technographics Priorities And Journey Survey, 2018. Base: 9,959 Purchase influencers (past 12 months/next 12 months)  Firm’s level of IT transformation maturity 
 

   Prepare your data platform for acceleration 
 

  
 

  
 

  
 

 Source: The Anatomy Of A System Of InsightForrester Data Global Business Technographics Data And Analytics Survey, 2017  47% are maintaining or increasing data lake investments  Batch data lakes need to evolve  Only 21% have adopted data lake acceleration tools 
 

  
 

  
 

 Source: Use IoT To Link Physical Operations And Digital BusinessForrester Data Global Business Technographics Mobility Survey, 2017, 2018  $1.25B market in 2018  Firms need real-time data to connect the physical and digital world  23% use streaming analytics 
 

  
 

  
 

 Source: Move Your Big Data To The Public CloudForrester Data Global Business Technographics Data And Analytics Survey, 2018  39% forecast CAGR for big data in public cloud   39% of current big data processing is in public cloud  The public cloud is necessary to keep the pace of innovation 
 

 Welcome to the Bronze Age  …of Big Data 
 

 Source: New, Evolving Tools To Manage Big Data Will Grow At Double-Digit Rates  $31B  13% CAGR  Big Data 
 

 Brian Hopkins@BrianHForrbhopkins@forrester.com 
 

 September 13, 2018  VISION & ROADMAP  Itamar AnkorionCHIEF MARKETING OFFICER  
 

 Change is driving our business  MODERN INTEGRATION  Real-Time  Universal  Agile  Automated    MODERN PLATFORMS  Big Data  Cloud  Data Lakes  Streaming    MODERN ANALYTICS  AI/ML  IoT  Predictive  Real-Time 
 

   MODERN ANALYTICS  REQUIRES  FOR EXAMPLE    AI/ML/IoT Analytics  Scale  Use data from 1000’s of sources with minimal development resources and impact    Streaming Analytics  Real-time  Create real-time streams from database transactions    Cloud Analytics  Efficiency  Transfer large data volumes from multiple data centers over limited network bandwidth    Agile Deployment  Automation  Enable non-developers to rapidly deploy solutions    Diverse Analytics Platforms  Flexibility  Easily adopt and adapt new platforms and methods                                                                                                Modern Analytics Require Modern Data Integration 
 

 $205B by 2020 (1)        DATA LAKES    STREAMING  CLOUD    ON PREMISE    DATA WAREHOUSE  BATCH    Need is large and Growing      2X DATA Every 2 Years (2)  82% Adopting Real-Time (3)  Multi Cloud  Maturity & Variety  Source to Analytics 
 

 Attunity’s market Opportunity  Cloud adoption, Data Lakes maturity, and Real-Time data are reshaping IT     Billions in Addressable Market across Global 2000 and Fortune 1000 companies     Legacy Data Integration technologies are an obstacle        
 

 Attunity – Modern Data Integration   LEADING provider of Streaming CDC Support most sources with best performance and least impact  LEADING cloud database migration technologyAlready moved over 80,000 databases to public Cloud platforms   LEADING in agility and platform coverage Pre-packaged automation of complex processes and modern UX to accelerate delivery by “data people”                                                   THE LEADING PLATFORM FOR DELIVERING DATA EFFICIENTLY AND IN REAL-TIME TO CLOUDS, DATA LAKES, AND STREAMING ARCHITECTURES 
 

   Source: Magic Quadrant for Data Integration Tools,19 July 2018, Mark Beyer, Eric Thoo, Ehtisham ZaidiGartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.    Strengths: Leadership in data replicationStrong OEM and partner momentumStrong alignment to growth and modern data integration needs  CHALLENGERS  LEADERS  NICHE PLAYERS  VISIONARIES  ABILITY TO EXECUTRE  COMPLETENESS OF VISION  As of July 2018                          RECOGNIZED BY GARTNER    2018 MAGIC QUADRANT FOR DATA INTEGRATION  ATTUNITY RECOGNIZED AS A MARKET CHALLENGER 
 

 Growing awareness and demand    ABMLDR TeamDevelop inboundProspect outbound  PROGRAMS    GTM alignment with Cloud & Data Lake vendorsPartner with SI companies building modern solutionsAmplify awareness and lead genDrive referrals  PARTNERS    Events Thought leadershipSearch MarketingSocial MarketingAnalyst Relations  BRAND 
 

   Streaming data pipelines – Platform Vision  GENERATE change stream  DELIVERto Cloud and Data Lakes   REFINEfor analytic use  DESIGN AND MANAGE  Streaming Data Pipelines  
 

                   Streaming data pipelines – EcoSystem Alignment                                                                              GENERATE change stream  DELIVERto Cloud and Data Lakes   REFINEfor analytic use  DESIGN AND MANAGE 
 

 September 13, 2018  VISION & product direction  Dan PotterVP PRODUCTS  
 

 MODERN INTEGRATION  Real-Time  Universal  Agile  Automated    MODERN PLATFORMS  Big Data  Cloud  Data Lakes  Streaming    What’s driving our business  MODERN ANALYTICS  AI/ML  IoT  Predictive  Real-Time 
 

 MODERN INTEGRATION  Real-Time  Universal  Agile  Automated  Our differentiation 
 

 Our Differentiation  MODERN INTEGRATION  Real-Time  Universal  Agile  Automated            AGENTLESS CDC  REAL-TIME STREAMS      Real-Time  STREAM DATA AND METADATA CHANGES    OPTIMIZED FOR EVERY SOURCE AND TARGET    MINIMAL IMPACT USING TRANSACTION LOGS   
 

 Our Differentiation  MODERN INTEGRATION  Real-Time  Universal  Agile  Automated                                                                    DATABASE  EDW  HADOOP  CLOUD  MAINFRAME  SAP  FLAT FILES  OTHER LEGACY                              OracleSQL ServerDB2 iSeriesDB2 z/OSDB2 LUW MySQLPostgeSQLSybase ASEInformixODBC  ExadataTeradataNetezzaVerticaPivotal  HortonworksClouderaMapR  DB2 for z/OSIMS/DBVSAM  ECC on OracleECC on SQLECC on DB2ECC on HANAS4 HANA  AWS RDSAmazon AuroraAmazon RedshiftSalesforce  SQL/MPEnscribeRMS  Delimited(e.g., CSV, TSV)  30 SOURCES                                            DATABASE  EDW      STREAMING        CLOUD    HADOOP      OracleSQL ServerDB2 LUWMySQLPostgreSQLSybase ASEInformixMemSQL  Microsoft PDWExadataTeradataNetezzaVerticaSybase IQAmazon RedshiftActian VectorSAP HANA  Amazon RDSAmazon RedshiftAmazon S3Amazon AuroraGoogle Cloud SQLAzure SQL DWAzure SQL DBAzure MySQLAzure PostgreSQLSnowflake  HortonworksClouderaMapRAmazon EMRHDInsight  KafkaAzure Event Hubs MapR-ESAWS Kinesis                  FLAT FILES    SAP          HANA  Delimited(e.g., CSV, TSV)  40 TARGETS  Universal 
 

 Our Differentiation  MODERN INTEGRATION  Real-Time  Universal  Agile  Automated            RUNS IN THE CLOUD, ON-PREM, OR BOTH  RUNS IN THE CLOUD, ON-PREM, OR BOTH                                                                                                              Agile  RAPID DEPLOYMENT WITH NO AGENTS ON SOURCES    FUTURE-PROOF FOR ‘ARCHITECTURES IN MOTION’   
 

 Our Differentiation  MODERN INTEGRATION  Real-Time  Universal  Agile  Automated  AUTOMATE THE DATA PIPELINE   AUTOMATE MULTI-STAGE PROCESSING WITHOUT CODING    ADAPTS TO SOURCE AND TARGET CHANGES    HETEROGENEOUS & DISTRIBUTED WORKLOADS      GENERATE  DELIVER  REFINE  MANAGE  Automated 
 

 KEY NEW OFFERINGS in last 12 months      New TargetsAmazon - S3, EMR, KinesisAzure - HDInsight, ADLS, MySQL, PostgresSQL, Event HubsGoogle - GCS, DataprocSnowflake – AWS, AzureSAP HANA, MapR ES, MemSQL  New AnalyticsCompose for Data Lakes – Amazon, Azure, Google, Hortonworks, ClouderaCompose for DW - Azure SQL DW  New SourcesSAP ECC HANASAP S4 HANAAmazon Redshift                GENERATE  DELIVER  REFINE  MANAGE  KAFKA  Metadata & Lineage              From hive to spark  AEM Analytics           
 

   Streaming data pipelines – Platform Vision  DESIGN AND MANAGE  Streaming Data Pipelines   GENERATE change stream  DELIVERto Cloud and Data Lakes   REFINEfor analytic use 
 

 Attunity for data lakes VISION  STREAMING DATA PIPELINE AUTOMATION FROM INGEST TO ANALYTICS  For data architects and engineers  Rapidly deliver real-time and analytics-ready data  Remove the time, cost and risk of manual coding           Adaptable to new sources, targets, platforms, technologies    
 

                       STANDARDIZE MERGE FORMAT    Full Change History            ENRICH  SUBSET            HDSODSSnapshot        CAPTURE  PARTITION            RawDeltas        Attunity for data lakes      New TargetsAmazon - S3, EMR, KinesisAzure - HDInsight, ADLS, MySQL, PostgresSQL, Event HubsGoogle - GCS, DataprocSnowflake – AWS, AzureSAP HANA, MapR ES, MemSQL  New AnalyticsCompose for Data Lakes – Amazon, Azure, Google, Hortonworks, ClouderaCompose for DW - Azure SQL DW  New SourcesSAP ECC HANASAP S4 HANAAmazon Redshift                            KAFKA     Flexible Messaging    SAP  RDBMS  DATAWAREHOUSE  FILES  MAINFRAME                        Consume  ANALYZE  MONITOR              GENERATE  DELIVER  REFINE  Data continuously updated and merged into temporal store  Purpose-built subsets provisioned as required  CDC ingestion into cloud and data lake  
 

       RawDeltas                              STANDARDIZE MERGE FORMAT    Full Change History              ENRICH  SUBSET            HDSODSSnapshot    CAPTURE  PARTITION              Attunity for data lakes      New TargetsAmazon - S3, EMR, KinesisAzure - HDInsight, ADLS, MySQL, PostgresSQL, Event HubsGoogle - GCS, DataprocSnowflake – AWS, AzureSAP HANA, MapR ES, MemSQL  New AnalyticsCompose for Data Lakes – Amazon, Azure, Google, Hortonworks, ClouderaCompose for DW - Azure SQL DW  New SourcesSAP ECC HANASAP S4 HANAAmazon Redshift                         GENERATE  DELIVER  REFINE       KAFKA     Flexible Messaging    Metadata Services    TRACELineage  CATALOGData  VALIDATETransfers  ANALYZEData Usage          3rd PARTYInteroperability      Operations Management        DESIGNDataflows  MANAGEPlatform  MONITORTasks  ANALYZETrends              DESIGN & MANAGE    SAP  RDBMS  DATAWAREHOUSE  FILES  MAINFRAME                        Consume  ANALYZE  MONITOR           
 

 Attunity for data lakes – emphasis on refine      New TargetsAmazon - S3, EMR, KinesisAzure - HDInsight, ADLS, MySQL, PostgresSQL, Event HubsGoogle - GCS, DataprocSnowflake – AWS, AzureSAP HANA, MapR ES, MemSQL  New AnalyticsCompose for Data Lakes – Amazon, Azure, Google, Hortonworks, ClouderaCompose for DW - Azure SQL DW  New SourcesSAP ECC HANASAP S4 HANAAmazon Redshift                         REFINE     KAFKA  Metadata & Lineage     From hive to spark     
 

                                                                                                                   Product growth vectors  EXPANDOpen Platform to Accelerate Internal and External Development  ATTACHComplete Solution for Data Lake Pipelines  ESSENTIALNecessary for Scale & Pipeline Automation    GENERATE  DELIVER  REFINE  MANAGE 
 

 Solution innovation highlights  65  Allen SkeesVP EngineeringATTUNITY  Dan PotterVP ProductsATTUNITY 
 

 Demonstrations  3 Clouds in 3 Minutes  Complete Automation for Streaming Data Pipelines  1 Billion Changes Per Day  DELIVER  REFINE  MANAGE             
 

               3 clouds in 3 minutes          Real-time  Historic    17    1  Select source and targets  Click ‘Run’  Data streams generated    2  Automatic mapping   WAN optimized & secure  Universal Delivery            CHANGE DATA STREAMS 
 

                 Complete automation for streaming data pipelines          Real-time  Historic  17    GENERATE  DELIVER  REFINE      1  View Pipeline   Generate Streams from Changed Data  Deliver to Cloud Data Lake    2  View Data Structure Created  Merge Real-Time Data  ProvisionNew Analytic Data Set    3  View Analytics-Ready Data    
 

                                 1Billion changes per day  Create structure & update data          Real-time  Historic      Enterprise management for high scale  Visually optimize operations  Configure, execute and monitor data flows  ATTUNITY REAL-TIME DATA INTERGRATION  550DataSources  100Locations  12Attunity Servers                                                                                                 
 

 September 13, 2018  CUSTOMER SUCCESS  Mark LoganPRESIDENT  
 

 Fast rolloutsEfficient execution  Modular architecturesHybrid environments  AdaptIterate  SPEED TIME TO VALUE  REDUCE COMPLEXITY  NAVIGATE CHANGE  CUSTOMERS ARE ON A journey to modern platforms  MARKET REQUIREMENTS 
 

 SCALING TO $200m      LeadershipIndustry experienceHigh performing repsPresales consultingTerm-based licensing  SALES  Technical Account ManagersCenter of ExcellenceProfessional ServicesNew end points, new pipelinesRenewals  EXPANSION                       
 

 RESULTS  * Percent of 107 Attunity Replicate customers responding ”Satisfied” or “Very Satisfied” to PS survey in Q2    H1 INCREASEY/Y      45%ASP Top 10 Deals    51%Direct Revenue        65%License Revenue        99%CUSTOMER SATISFACTION * 
 

 September 13, 2018  ATTUNITY PARTNER  SNOWFLAKE  Chris Healey ATTUNITY PARTNER: SNOWFLAKE  
 

 Chris Healey: VP Global Alliances  The Data Warehouse Built for the Cloud  CONFIDENTIAL AND PROPRIETARY 
 

 Our story  Over 1000 customers today              Over $400M in venture funding from leading investors              First customers 2014, general availability 2015                                    Founded 2012 by industry veterans 
 

   1000+ Customers  Building new analytic applicationsDelivered new analytic application to pharmacies using Snowflake  Moving to the cloudUsing Snowflake to move data analytics to the cloud  Modernizing data platformsReplaced data warehouse appliance + Hadoop with Snowflake  Accelerating enterprise BI and analyticsMoved from legacy data warehouse systems (appliance & cloud) to Snowflake  © 2018 Snowflake Computing Inc. All Rights Reserved.  77 
 

 Forrester: Snowflake Customers see 604% 3-year ROI   © 2018 Snowflake Computing Inc. All Rights Reserved.  604% ROIStorage savings: $3m+Compute savings: $1m+Labor savings: $1m+Faster time to production: $1m+                      https://www.snowflake.net/resource/forrester-tei-of-snowflake/  Detailed customer interviews show nearly $6m in benefits for the average enterprise, petabyte scale customer 
 

     “We need to give personalized and unique experiences to our customers.”  Linda ApsleyVP of Data EngineeringCapital One  © 2018 Snowflake Computing Inc. All Rights Reserved.               
 

                                                                                                                         The Impact of Database Problems at Capital One  Without the built-in security they needed, Capital One had to painstakingly secure their data warehouse from scratch. Changes or updates had significant implications.  Without a way to failover between regions, the existing solution lacked a critical capability in delivering and protecting data.  With massive concurrency across dozens of business units, database performance was strained to the maximum, slowing analysis times and limiting data to a few.  Slow ad-hoc queries and dashboards                  Data scientists were unable to scale the service to larger queries, significantly inhibiting their ability to find new ways to deliver personalized experiences.  Couldn’t meet the analytics needs of the business  System downtime  Unable to innovate and scale due to complexity   © 2018 Snowflake Computing Inc. All Rights Reserved.  80  Unlimited Concurrency  Fast Elasticity  High Availability  Comprehensive Security  
 

                                                                                                                       The Impact of Snowflake at Capital One  The data science team is now empowered with infinite scalability. Combined with pay as you go billing, they can answer every question quickly, at dramatically lower cost.   Snowflake’s built in security features have delivered the safety that Capital One demands and that their customers deserve.   With built-in failover from US-West to US-East, Capital One has ensured their customer data will always be available, accurate, and ready for analysis.  Delivering customized experience requires a great deal of analytics. Now that the entire team has their own compute resources, anyone can finally ask any question at any time.                  Improved productivity and agility  New business insights  Peace of mind for customers and employees  Performance and access always remain consistent  © 2018 Snowflake Computing Inc. All Rights Reserved.  81    Unlimited Concurrency  Fast Elasticity  High Availability  Comprehensive Security        
 

 This Can’t be Fixed with Traditional Architecture  © 2018 Snowflake Computing Inc. All Rights Reserved.  Shared-diskShared storageSingle cluster  Shared-nothingDecentralized, local storageSingle cluster                                                                     
 

     Cloud Services                Data Science (L)    Data Transformation (M)    SQL Queries (S)  A Brand New Architecture  Easy-to-use Service with No Management  Unlimited Compute Clusters to Serve Every Use  Flexible Cloud Storage For All Kinds of Data  Management                    Optimization      Security        Availability        Transactions              Metadata                              BI/Reporting(Multi-Cluster M)                                                          Structured                                                    Semi-Structured  © 2018 Snowflake Computing Inc. All Rights Reserved.  83                                                      Structured                                                    Semi-Structured                                    InfiniteConcurrency  Multi-Tenant Snowflake Deployment 
 

     Cloud Services  There’s One More Thing: Seamless Data Sharing  Management                    Optimization      Security        Availability        Transactions              Metadata  © 2018 Snowflake Computing Inc. All Rights Reserved.  84    Data Provider Snowflake Account    Consumer 2 Snowflake Account    SQLAnalystsWH        Multi-Tenant Snowflake Deployment          Data Science WH          Consumer 1 Snowflake Account      Data to Share    Secure Data Share       Wants provider data for data scientists  Wants provider data for SQL analysts  Share Live Data InstantlyGrant Secure Row Level AccessUse One Share for Many          NO FTP or EDINO Duplicate Files or Storage NO Additional Charge                         
 

         Traditional databases are inflexible  Snowflake uses the cloudto enable elasticity    Usage varies    Pay for only what you use with no overprovisioning  Eliminate overbuy  Scale compute up and down, transparently and automatically  No need for capacity planning, make capacity decisions on the fly  Fast Elasticity                          © 2018 Snowflake Computing Inc. All Rights Reserved.  85 
 

   AWS(US West)  AWS(Frankfurt)  AWS(US East)                                                                                                                          AWS(Sydney)                                Azure(Europe 2018)                                Azure(US East H1 2018)  AWS(Ireland H1 2018)                                Global and Multi-Cloud Expansion                                AWS(Brazil 2019)                                AWS(Japan 2018)  AWS(Canada 2018)                                (Planned regions & date)  (Current regions)  © 2018 Snowflake Computing Inc. All Rights Reserved. 
 

   Leading Cloud Data WarehouseScalable analytic processing Supports diverse data typesEasy to deploy, configure and expandMulti-cloud  Leading Cloud Data DeliveryLarge-scale, efficient data replication Supports many data sources Easy to deploy, configure and expandMulti-cloud  +  Modern Platform for Cloud Data Analytics 
 

         RDBMS  EDW  MAINFRAME                                                                    TARGET SCHEMACREATION   HETEROGENEOUSDATA TYPE MAPPING  OPTIMIZED, PARALLEL CLOUD DATA TRANSER  DDL CHANGEPROPAGATION   FILTERING  TRANSFORMATIONS                            REPLICATE                     Attunity Replicate for SnowflakeAutomated Data Delivery for Cloud Analytics 
 

   Example: Joint Solution Architecture for a Customer 
 

 September 13, 2018  Competitive Differentiation   Stephen Foster EXECUTIVE VICE PRESIDENT  
 

 ABOUT Stephen Foster  BACKGROUND  Joined GoldenGate Software in May, 2006GoldenGate acquired by Oracle in October, 2009Most recently, AVP of Oracle’s Enterprise Integration Solutions Sales Team in the U.S.Joined Attunity as EVP of Sales, Americas in July, 2018                         
 

   WHY I JOINED ATTUNITY  Market driven real-time data integration requirements shift driving architectural shiftAmazon/AWS and Microsoft/Azure are winning IaaS/PaaS warsNeutrality is critical                         
 

 ATTUNITY – Modernize and Automate Data Integration   FlexibilityNeutralityBarrier to Entry  Relied on by the top cloud vendorsMigrated more than 80,000 databasesEnd-to-end ownership   Do More with LessFaster Time to MarketAutomation                                                 The right architecture for the next generation  Leader in change data capture  Leader in cloud integration & cloud migration solutions  Leader in ease of use & automation 
 

                           Customer drivers  Real-time Heterogeneity Need Complete/End-to-End SolutionNeutrality 
 

 September 13, 2018  FINANCIAL HIGHLIGHTS  Dror Harel-ElkayamCHIEF FINANCIAL OFFICER  
 

 *  © 2017 Attunity  *  © 2017 Attunity  CONTINUOUS REVENUE GROWTH  Total Revenue  License Revenue 
 

 
 Quarterly Revenue Growth 
 

 *  © 2017 Attunity  *  © 2017 Attunity  GROWTH IN PROFITABILITY  Non-GAAP Operating Profit(US$) 
 

 
  Debt-Free Balance Sheet      55 Days  $33M    $4M  Record Quarterly Operating Cash Flow  Strong DSO    Cash andShort-Term Deposits 
 

 Target Long-Term Operating Model  % of Revenues (Non-GAAP)  2016  2017  H1-2018  Target Long-Term Model             Gross Margin   88%  86%  87%  90% - 93%  Sales and Marketing  60%  55%  50%  42% - 45%  R&D  22%  21%  20%  15% - 17%  G&A  7%  7%  7%  4% - 5%  Operating Margin  (0)%  4%  11%  23% - 32%  Scaling to $200 Million   
 

               Shimon AlonCHAIRMAN AND CEO  Mark LoganPRESIDENT  Stephen FosterEXECUTIVE VICE PRESIDENT  Dror Harel-ElkayamCHIEF FINANCIAL OFFICER  Itamar AnkorionCHIEF MARKETING OFFICER  Dan PotterVP PRODUCTS                                                                                                                                                           
 

 Attunity 2018 Analyst & Investor Day  HOT MARKET | FAST GROWTH | LARGE OPPORTUNITY 
 

 
 RECONCILIATION OF NON-GAAP FINANCIAL INFORMATION   (US$ in thousands )    2016  2017  H1 2018  GAAP revenues   $ 54,494    $ 62,098    $ 38,047   Valuation adjustment on acquired deferred service revenue  43   -   -   Non-GAAP revenues  54,537   62,098   38,047   GAAP operating expenses  65,868   64,954   36,376   Cost of revenues   (148)  (162)  (102)  Research and development  (1,210)  (805)  (335)  Sales and marketing   (2,379)  (1,817)  (1,097)  General and administrative   (993)  (927)  (456)  Amortization of acquired intangible assets  (2,372)  (1,347)  (471)  Impairment of acquisition-related intangible assets  (4,122)   -    -   Non-GAAP operating expenses  54,644   59,896  33,915           GAAP operating income (loss)  (11,374)  (2,856)  1,671   Operating adjustments  (11,267)  (5,058)  (2,461)  Non-GAAP operating income (loss)  (107)  2,202   4,132           GAAP financial income (expenses), net   (54)  (101)  88   Revaluation of liabilities presented at fair value  (207)  (212)   -   Accretion of payment obligations  (8)   -    -   Non -GAAP financial income (expenses), net   (269)  (313)  88          -   GAAP income tax benefit (taxes on income)  735   (3,756)  (1,298)  Taxes on income (tax benefits) related to non-GAAP adjustments  (2,587)  206   246   Non-GAAP taxes on income  (1,852)  (3,550)  (1,052)          GAAP net income (loss)  (10,693)  (6,713)  461   Valuation adjustment on acquired deferred revenue  43    -    -   Amortization of acquired intangible assets  2,372   1,347   471   Impairment of acquisition-related intangible assets  4,122    -    -   Acquisition related expenses  779    -    -   Stock-based compensation  3,951   3,711   1,990   Revaluation of liabilities presented at fair value  (207)  (212)   -   Accretion of payment obligations  (8)   -    -   Taxes on income (tax benefits) related to non-GAAP adjustments  (2,587)  206   246   Non-GAAP net income (loss)   $ (2,228)   $ (1,661)   $ 3,168