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

43

• 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 seekreal-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

Guiding Principles for MemSQL 4

Database Innovation

Simplified Operations

8

Easy Access to Real-Time Processing and Analytics

Community EditionFree Forever

Enterprise EditionFree 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 ApplicationsTransactions and Analytics

Dashboards

HadoopAmazon S3

ODBC, JDBC, .NETConnectors 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 PersistenceApplication 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

InputsAmazon S3

Hadoop

Real-time path

Batch path

13

• MemSQL 4 includesinfinite 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-basedColumn Store

Analytics

Tra

nsac

tions

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 Youwww.memsql.com

Carlos Bueno Gary Orenstein

Questions and Answers