The Real-Time
Data Warehouse
MemSQL is a high performance data warehouse designed for the cloud and on-premises that delivers ultra fast insights of your live and historical data
Fast Data Ingest
Analyze Live and Historical Data
Real-Time Application Ready
Customer Improvements
"Every business user is requesting speed and the ability to move at an incredibly iterative pace, we need to be able to provide that and in-memory allows us to do so."
JR Cahill
Principal Architect
"We use MemSQL to power our real-time analytics experiment dashboard, which manages hundreds of experiments every day."
Yu Yang
Software Engineer
"MemSQL as a core technology in our IT infrastructure allows us to ingest granular data more rapidly with higher scalability and efficiency."
Mike DePrizio
Senior Architect
Scale Out
Scale Easily
Shared nothing architecture on industry standard hardware delivers limitless concurrency for user and data growth.
Distribute Instantly
As you scale out your system, MemSQL distributes the processing load equally as to not increase average query times.
Optimized Use Cases
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Real-Time Analytics
Monitor, personalize and respond to insights in real-time by ingesting and analyzing events on a single scalable database. Learn More
Highlighted Features
Lock-free ingest for streaming data
Distributed SQL for scalable fast query response
Geospatial index for ultra fast location analytics
Geospatial Demo simulates the ability to monitor hundreds of thousands of objects on the go.
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Internet of Things
Ingest, store and analyze millions of events per second to monitor and predict critical machine events. Learn More
Highlighted Features
Simultaneous lock-free read and write queries fastest insights
ANSI SQL for sophisticated queries
Up to 10x Data compression for Big Data storage
Watch a simulation of real-time monitoring of wind farms involving processing and analyzing data from 2M sensors on 197K wind turbines installed around the world.
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Customer 360
Improve loyalty and engagement by analyzing all customer data to deliver personalized experiences in real-time. Learn More
Highlighted Features
Distributed SQL for user concurrency
JDBC/OBDC connectivity for CRM interoperability
ANSI SQL for predictive
queriesSee how Pinterest uses MemSQL with Apach Spark and Kafka to track and analyze streaming event data.
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More
Ecosystem Compatibility
Deploy
Cloud, On-Premises, As-a-Service
Freely deploy on-premises, Amazon AWS, Microsoft Azure, Google Cloud Platform and beyond.
Containers and VMs
Deploy on virtualization and container services like Docker, Mesosphere, VMware, Kubernetes
Ingest
Relational
Oracle, SQL Server, MySQL, Postgres, Teradata, SAP, and more.
Streaming
MemSQL Pipelines, Apache Kafka, Amazon S3, HDFS, Apache Spark
Analyze
Query
ANSI SQL, JSON, Geospatial
Business Intelligence
Tableau, Looker, Zoomdata, and Microstrategy
Ready to Get Started?
Take your business real-time.
