The real-time database for transactions and analytics

MemSQL Product Introduction

2

Why MemSQL? Telecoms Must Operate in Real Time

Streaming Transactions Analytics

Detect and respond to business changes the moment they happen

Deliver real-time analytics to applications with growing user bases

Simultaneously ingest and serve data

• Streaming workloads

• Transactional workloads (OLTP)

• Analytical workloads (OLAP)

3

The Real-Time Database for Transactions and Analytics 

In-Memory DistributedRelational Datacenter or Cloud

Multi-model RDBMS SQL Key-value pairs Documents (JSON) Geospatial

In-Memory rowstore Memory-optimized

on-disk columnstore

Distributed query optimizer and execution

Scale out on commodity hardware

Simple Real-Time Affordable Flexible

Deploy on-premises Deploy on AWS or

Azure Marketplaces

4

MemSQL Ecosystem and Architecture

Orchestration / Containers

Cloud / On-Premises Platform

MessagingInputs Business Intelligence Dashboards

Real-Time Applications

In-Memory Database

Columnstore

RAM, SSD, Disk / Fast appends

RelationalFull

transactional SQL

Key-ValueTwo column

table

DocumentJSON

Geospatial

Rowstore

RAM / Fast updates

StreamingReal-time

transformation

Streamliner

With Integrated Apache Spark

Wire-protocol

MemSQL Loader

Hadoop Amazon S3

5

MemSQL Streamliner Provides Immediate Access to Real-Time Analytics

ApplicationApache Spark

STREAMLINER

Extract Transform Load

STREAMLINER

Real-Time Inputs

One click deployment of integrated Apache Spark Create real-time data pipelines through a graphical UI Eliminate batch ETL Open sourced on GitHub at memsql.github.io/spark-streamliner

6

MemSQL Community and Enterprise Editions

Community EditionFree Forever

Enterprise EditionFree 30-day Trial

• Unlimited capacity and scale

• Comprehensive SQL features

• 24/7 support• Enterprise functionality

• High availability• Cluster replication• Granular access controls• Security features

7

Results Proactively diagnose issues Form real-time intelligence Deliver better viewer experience

Comcast: Real-Time Operational Intelligence and Monitoring

Log Collection Real-Time Analytics

• Analysts query live data• Alerts on complex

objects• Optimize CDN efficiency

~ 1 second

~ 30 minutes

ApplicationReal-time monitoring and analytics on streaming video

ProblemCollect streaming data at scale and make available to query in real-time

Akamai CDN Billing

ApplicationCDN customer billing

ProblemOracle Exadata solution could only handle 57k upserts/second, could not keep up with new billing model

ResultsMemSQL cluster performs at 1.9 million upserts/second, moving from monthly to daily billing

CDN resource usage statistics

INSERT... ON DUPLICATE KEY UPDATE... (1.9 million/sec)

Billing Application

• Compute customer charges daily

• Roll up infrastructure usage by cloud provider

• More sophisticated platform offers customers better service, partners new business opportunities

Thank Youwww.memsql.com