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The Real-Time Database for Transactions and Analytics
Introducing MemSQL 4
Webcast May 21, 2015
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
The Real-Time Database for Transactions and Analytics
In-Memory Distributed Relational
Data CenterSoftware Cloud
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
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
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
Ecosystem
Integration
7
Guiding Principles for MemSQL 4
Database
Innovation
Simplified
Operations
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
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
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
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
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
• 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
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
Thank You
www.memsql.com
Carlos Bueno Gary Orenstein
Questions and Answers

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Introducing MemSQL 4

  • 1. The Real-Time Database for Transactions and Analytics Introducing MemSQL 4 Webcast May 21, 2015
  • 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 The Real-Time Database for Transactions and Analytics In-Memory Distributed Relational Data CenterSoftware Cloud
  • 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 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 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. Ecosystem Integration 7 Guiding Principles for MemSQL 4 Database Innovation Simplified Operations
  • 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 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 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 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 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 • 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 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. Thank You www.memsql.com Carlos Bueno Gary Orenstein Questions and Answers