Scaling API-first – The story of a global engineering organization
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
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