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Introducing MemSQL 4

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Learn about MemSQL 4, including the new unlimited Community Edition.

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Introducing MemSQL 4

  1. 1. The Real-Time Database for Transactions and Analytics Introducing MemSQL 4 Webcast May 21, 2015
  2. 2. 2 • Experienced leadership from Facebook, SQL Server, Oracle, Fusion-io • In-Memory, distributed, relational database • Solving the Enterprise Architecture Gap • Facebook-style scale-out with modern database innovation • $50 million in funding MemSQL at a Glance
  3. 3. 3 The Real-Time Database for Transactions and Analytics In-Memory Distributed Relational Data CenterSoftware Cloud
  4. 4. 4 MemSQL Markets, Applications, Solutions Markets Applications Solutions AdTech Real-Time Analytics Internet of Things Financial Services Risk Management Real-Time Data Pipelines High Technology Personalization Infrastructure Consolidation Retail and Commerce Portfolio Tracking Operationalizing Spark Public Sector Monitoring and Detection Converged Processing Energy Media and Communications
  5. 5. 5 Introducing MemSQL 4 4 3 • Community Edition • Geospatial Intelligence • Robust Connectors • Spark • Hadoop • New Optimizer • Simplified Ops 2 • Disk-based Columnstore • Cross Data Center Replication • Multi-statement Transactions 1 • Distributed Database • Integrated Relational and JSON Data • Single Box Relational Database 2012 2013 2014 2015 Easy access to database innovation
  6. 6. 6 More enterprises seek real-time operations • In-Memory makes it possible Enterprises desire HTAP • Hybrid Transactional/Analytical Processing • Reduced reliance on ETL Enterprises want distributed systems for big data analysis • Cost-effective scale out Critical Database Market Drivers
  7. 7. Ecosystem Integration 7 Guiding Principles for MemSQL 4 Database Innovation Simplified Operations
  8. 8. 8 Easy Access to Real-Time Processing and Analytics Community Edition Free Forever Enterprise Edition Free 30-day Trial • New with MemSQL 4 • Unlimited capacity • Unlimited scale • All transactional and analytical features • 24/7 support • Critical deployments • High availability • Cluster replication • Granular access controls • Security features
  9. 9. 9 MemSQL Geospatial – A First Class Data Type • Scale and operationalize geospatial data • Native geospatial data types, OpenGIS standard • Recent geospatial demonstrations • ESRI at Spark Summit East http://www1.memsql.com/spark-summit-east.html • MemSQL Supercar at Gartner BI Summit http://www1.memsql.com/gartner-bi-summit-15.html Points, Lines and Polygons Topological filters Measurement functions
  10. 10. 10 MemSQL Product Ecosystem In-Memory Applications Transactions and Analytics Dashboards HadoopAmazon S3 ODBC, JDBC, .NET Connectors MemSQL Loader Advanced Analytics Wire-protocol compatibility Databases and Data Warehouses Streaming
  11. 11. 11 Spark with MemSQL MemSQL Spark Connector enables the real-time trinity Message Queue Transformation Data Serving Programming libraries Persistence Application platform End-to-End Data Pipeline Under One Second
  12. 12. 12 Easily Import Data from Popular Data Stores MemSQL Loader loads files with a single command MemSQL enables simplified Lambda architectures Inputs Amazon S3 Hadoop Real-time path Batch path
  13. 13. 13 • MemSQL 4 includes infinite disk storage for free • Integrate row store and column store with JOINs • Column store has • Clustered index • Min/max indexes Enhanced Column Store for Analytics and Data Retention In-memory Row Store Disk-based Column Store Analytics Transactions
  14. 14. 14 SQL Friendliness and Enterprise Capabilities • New MemSQL Optimizer • Distributed JOINs for advanced analytics • Automated deployment and real-time cluster monitoring • Eliminating the pain of large-scale deployments • Robustness and Self-Healing • Enhanced SQL functionality JOIN OPS SQL
  15. 15. Thank You www.memsql.com Carlos Bueno Gary Orenstein Questions and Answers

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