MemSQL is now

About SingleStore

SingleStore (Formerly MemSQL) is a cloud-native, operational database built for SPEED & SCALE, dedicated to helping businesses leverage data to reach their full potential and redefine the limits of what’s possible.

Case Study:

How Armis Saves 70% on Data Pipeline Cost with SingleStore

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Why SingleStore?

SingleStrore delivers ultimate data ingestion performance at scale and supports built in batch loading and real time data pipelines

Programmatic Pipelines

Build sophisticated for enrichment operations, eliminating the cost and complexity of ETL tooling

Exactly-Once Semantics

Achieve guaranteed message delivery of streaming data for accurate reporting and analysis

Streaming Inputs

Apache Kafka, Apache Spark

Database Inputs

MySQL, SQL Server, Oracle, Postgres, Teradata, Redshift

Storage Inputs

Amazon S3, HDFS

Pipelines for Data Lakes

Continuously ingest data from HDFS and accelerate analytic performance using familiar ANSI SQL

SingleStore delivers ultimate data ingestion performance at scale and supports built in batch loading and real time data pipelines

Sophisticated Insights

Perform ad hoc analysis with business intelligence tools, run machine learning algorithms for real-time scoring, perform geoanalytic queries in real time

Geospatial Support

Store, query, and index geographic data types including polygons and points to support area, distance, location analytics in real-time

JSON Optimized

Store and query JSON data as a column-type to efficiently store and analyze multi-attribute objects

Workload Management

Automatically deliver reliable database performance while under high concurrency – to easily support more users and queries

Full-Text Search

Deliver fast, scalable full text-search applications with keyword-based and regular query conditions in a single SQL statement

Multi-Statement Transactions

Multi-statement transactions allow a set of DML statements to be combined into a single transaction

Compiled Queries

Repeat queries are compiled into low level machine code to deliver record breaking response for analytic queries

Fully Distributed Joins

Scale out fully distributed JOINs across any table and column for simple efficient query access

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Webinar On Demand:

Touring All Flavors of Databases & Exploring Current Big Data Challenges

Watch this practical session, presenting software craftsman and international speaker, Rob Richardson, where we explore the current challenges in Big Data Analytics, tour all flavors of databases, and understand their pros and cons.

Twingo & SingleStore

Twingo is a senior partner and an official representative of Memqsl in Israel!

Twingo is our best partner in the region. I would highly recommend working with them if you have the opportunity. Their deep knowledge and experience in big data and how-to best leverage SingleStore is a valuable benefit to our customers. We take great pride in having built a long-term partnership with them and it is our pleasure to do business with them.

Nikita Shamgunov, Co-CEO SingleStore

What Our Customers Say About SingleStore?

Iron Source
"SingleStore was chosen after testing a number of solutions. We found it to be the best and most comprehensive solution for our needs. IronSource deals with huge volumes of data, and large amounts of data updates. Our company needs to be able to deliver her clients with high speed analytics. Twingo has helped us move smoothly through the complex onboarding process and the migration from the old system to the new solution – from the initial set-up, code modifications and architecture design, to launching and stabilizing the system.”
Guy Kirschbaum / VP of Engineering
"We've conducted an evaluation of various Big Data analytics solutions, and Twingo had worked closely with us to plan and execute this evaluation, in which we finally decided that SingleStore would best fit our needs. We searched for a platform which can insert, update and store massive amounts of data, while runing complex concurrent queries. On top of that, at Armis we have strict, unusual security requirements, that the Twingo team helped to make sure together with the SingleStore R&D that those requirements can be met. The Twingo experts then continued to advise on the architecture, design and implementation of our SingleStore solution. Working with the Twingo team was educative and great, and we will definitely continue to use Twingo's services going forward"
Aviram Cohen
VP R&D / Armis security
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Presale Services

Postsale Services

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Using MemSQL to modernize Data Infrastructure for AI & ML

Only 15% of the organizations have the right architecture and the right data infrastructure for AI, and only 8% of all systems are accessible to AI workflows. MemSQL is particularly well-suited for use in speeding up the workflows that are needed for all kinds of AI and machine learning applications.

Case Study: How Twingo & MemSQL Supercharged’s BI Capabilities

Daniel Mittelman, Infrastructure & Security Engineer at, shares how and why moved to MemSQL, and why it’s awesome.

Twingo has completed a MemSQL based, Big Data Project, for IronSource

The solutions serves IronSource’s mobile clients, worldwide, and enables to merge real time analytics with historic data.