MemSQL is the leader in real-time Big Data analytics, empowering organizations to make data­driven decisions, better engage customers, and gain a competitive advantage. The in-memory distributed database at the heart of MemSQL’s real-time analytics platform is proven in production environments across hundreds of nodes in the most high-velocity Big Data environments in the world.

1. MemSQL
The Real-Time Analytics Platform

2. Customer Vignette
HUNDREDS OF MACHINES
70 BILLION RECORDS
1 MILLION INSERTS/SEC
Zynga is analyzing billions of rows in seconds and making real-time
decisions based on user behavior while offering more personalized in-game
purchases or other recommendations.

3. The Real-Time Analytics Platform
MemSQL is the distributed in-memory
database that provides real-time analytics on
Big Data, empowering organizations to:
• Make data-driven decisions.
• Better engage customers.
• Discover competitive advantages.
Highlights:
• Consumption of millions of events/second.
• Concurrent OLAP and OLTP queries using
SQL interface.
• Sub-millisecond response times on
terabyte-scale workloads.

4. Who Benefits?
Business
Intelligence
Data Scientist &
Analysts
Information
Technology
Cloud
Operator

5. Bringing Real-Time to Demanding Industries
Finance
• Real-time trend analysis
• Fraud detection
• Risk management
• Network security
Government
• Real-time Big Data analysis
• Pattern analysis
Mobile
• Operational analytics
and real-time processing
• Match making
Advertising
• Real-time attribution
• Real-time bidding

6. MemSQL Distributed Architecture
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Leaf Node Leaf Node Leaf Node Leaf Node
Shared-nothing architecture | Distributed query optimizer | Highly available, fault tolerant | Commodity hardware
… N
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7. Why is MemSQL So Fast?
Optimized massively parallelized
execution engine to leverage all
resources.
Squeeze each CPU cycle using
SQL-to-machine code conversion
for efficient execution.
Auto-parameterization keeps compilation to a minimum.

8. Super Charge Your Application
Lock-free data structures to ensure high throughput, and highly
concurrent workloads. MVCC & lock-free indexes to ensure writes
never block reads.
Three types of redundancy: across
nodes, on physical disk, and across data
centers. ACID compliant.
Capable of simultaneously
handling OLTP and OLAP
workloads.
ANSI-SQL interface that’s familiar
to users.

9. Multi-Site Capabilities
• Across the campus or the globe.
• Full replication capabilities: synchronous and asynchronous.
• Highly available through leaf node replication as with local distributed.
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Leaf Node Leaf Node Leaf Node Leaf Node
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Leaf Node Leaf Node Leaf Node Leaf Node
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Leaf Node Leaf Node Leaf Node Leaf Node
Site B
(Read Only)
Site C
(Read Only)
Primary Site
……

10. Simplicity at Scale

11. THANK YOU