The Database to Converge
Transactions and Analytics at Scale

MemSQL is the database that converges transactions and analytics with live data ingestion and petabyte scale queries to enable real-time applications

real-time database

Streaming Data Ingest

Easy to setup real-time data pipelines with exactly-once semantics

Live Data

Memory optimized tables for analyzing real-time events

Historical Data

Disk optimized tables with up to 10x compression and vectorized queries for fast analytics

Product Overview

real-time database
Ingest
Store
Analyze
Deploy

Real-Time Data: Live data from operational applications or web services



Real-Time Data

Apache Kafka and Spark: Streaming data from real-time message and transformation queues



Kafka or
Spark

Historical Data: Import from archive, data lake or block storage sources such as HDFS and Amazon S3

Historical Data

Applications: Embed custom visualizations and reports for analytic applications

Applications

Dashboards: Build dashboards and run ad hoc queries with industry standard business intelligence tools

BI Dashboards

On-Premises: Configure as a private cloud on industry standard hardware

On-Premises

Self Service Cloud: Amazon AWS, Microsoft Azure, Google Cloud Platform

Self Service Cloud

Fully Managed Cloud: Fully managed cloud service on Amazon Web Services or Microsoft Azure

Fully Managed Cloud

MemSQL Pipelines: Real-time ingest from Apache Kafka or Amazon S3 with exactly-once semantics and native management UI



Streaming Ingest

Live Data: Memory optimized tables for analyzing real-time events



Live
Data

Historical Data: Disk optimized tables with up to 10x compression for analyzing historical datasets



Historical
Data

MemSQL is a scalable SQL database that ingests data continuously to perform operational analytics for the front lines of your business. Ingest millions of events per day with ACID transactions while simultaneously analyzing billions of rows of data in relational SQL, JSON, or Geospatial formats.

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Fast Data Ingest for Fast Results

real-time data ingest
08:52:01252 msSucceeded164164164
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08:52:68282 msSucceeded124124124
08:52:13309 msSucceeded116116116
08:52:37310 msSucceeded145145145
08:52:23307 msSucceeded157157157
08:52:81398 msSucceeded183183183

Connect to your ecoystem across streaming, batch load and application environments with MemSQL Pipelines.

create pipeline

Create PipelineFEATURED

Natively define streaming data ingest from Apache Kafka and Amazon S3 with a single command

exactly-once semantics

Exactly-Once SemanticsFEATURED

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

import data

Data Import

Import from relational databases or cloud storage systems using native data load functions

streaming inputs

Streaming Inputs

Apache Kafka, Apache Spark

database inputs

Database Inputs

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

storage inputs

Storage Inputs

Amazon S3, HDFS

Deliver Fast Analytic Results

low latency

Achieve ultra fast query response on live and historical data using ANSI compliant SQL.

sophisticated insignts

Sophisticated Insights

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

distributed joins

Stored ProceduresNEW

Build powerful custom functions with procedural SQL and leverage the performance of query compilation and distributed processing

JSON

JSON OptimizedFEATURED

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

multi-statement transactions

Multi-Statement Transactions

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

compiled queries

Compiled Queries

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

geospatial

Geospatial Support

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

Durable Distributed Storage

The highly scalable distributed system balances data and queries across a cluster of industry-standard hardware for maximum performance, concurrency, and availability

in-memory performance

In-Memory or On-Disk Tables

Use memory for transactional workloads and cleanup while using disk for historical data and analysis

big data capacity

Big Data Capacity

Store petabytes of data on low cost disk and cloud storage for archive requirements while maintaining instant retrieval for fast deep analysis

massivelly parallel

Massivelly Parallel

Scale out shared nothing architecture to provide a robust parallel execution engine for read and write queries delivering ultra-fast performance

full durability

Full Durability to Disk

Write transactions directly to disk or write to memory with full data persistence and archiving

distributed storage

Distributed Storage

Store and process data across clusters of machines for maximize resilience and performance leveraging memory and disk infrastructure

compressed tables

Compressed On-Disk Tables

Column store disk compression optimizes resources for storing up to petabytes of data

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Simple Unified Management

database management

MemSQL Ops is a simple and powerful web interface for MemSQL cluster information, configuration, deployment, and monitoring.

performance monitoring

Monitor Performance and Capacity

Proactively respond to issues and ensure your MemSQL cluster is always online, operating within server capacity, and optimally performing

deploy

Provision and Deploy

Specify your cluster hosts, and MemSQL Ops will provision and deploy MemSQL according to your desired cluster configuration

high availability

High Availability

MemSQL holds a redundant copy of data to protect against data loss. Online replication ensures data consistency

cluster management

Cluster Management

Automate and simplify common tasks including adding, dropping, restoring, rebalancing partitions

scaling

Administration and Scaling

Manage data replication, along with backups and restore without pausing or going offline

data center replication

Cross Data Center Replication

Synchronize one cluster with another over a broad network connection

Robust Enterprise Security

Meet or exceed data security requirements without compromising database performance. Easily manage how users and roles access data to meet intensive workloads for web scale or regulated environments. Learn More

RBAC

Role-Based Access Control (RBAC)

Efficiently manage simple or robust security configurations by user role and group while maintaining maximum performance

encryption

Encryption

Data encryption is supported at time of ingest and when delivered across nodes using SSL. Use third party storage encryption while data is stored in MemSQL

Audit Logging

Audit Logging

Database logging writes all activities to a secure external location to support information security tasks such as tracking user access, investigating suspicious activities and validating access control policies

authentication

Authentication

Manage existing account access with PAM (Pluggable Authentication Module) and SAML authentication support

Compatible with Legacy and Modern Tools

Leverage the MySQL wire protocol or JDBC/ODBC interface to integrate with existing middleware or technology investments. For additional integrations, contact us.

Deploy
Cloud
On-Premises
Bare Metal
Bare Metal
Docker
Docker
VMWare
VMWare

What MemSQL Customers are Saying

Gartner gathered this feedback from MemSQL customers as part of a third-party study.
Learn more about Customer Success Stories.

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