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DBMS > MemSQL

MemSQL System Properties

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Editorial information provided by DB-Engines
NameMemSQL
DescriptionMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage
Primary database modelRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.81
Rank#72  Overall
#38  Relational DBMS
Websitewww.memsql.com
Technical documentationdocs.memsql.com
DeveloperMemSQL Inc.
Initial release2013
Current release6.8, August 2019
License infoCommercial or Open Sourcecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsLinux info64 bit version required
Data schemeyes
Typing infopredefined data types such as float or dateyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesyes
SQL infoSupport of SQLyes, but no triggers and foreign keys
APIs and other access methodsJDBC
ODBC
Supported programming languagesBash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency only within each node
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoOnly isolation level: READ COMMITED
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standard
More information provided by the system vendor
MemSQL
Specific characteristics

MemSQL is The No Limits Databaseā„¢, powering modern applications and analytical systems with a cloud-native, massively scalable architecture for maximum ingest and query performance with the highest concurrency. MemSQL envisions a world where every business can make decisions in real time and every experience is optimized through data. Global enterprises use the MemSQL distributed database to easily ingest, process, analyze, and act on data in order to thrive in today's insight-driven economy. MemSQL is optimized to run on any public cloud or on-premises with commodity hardware. To learn more, visit our Product page. To use MemSQL, get started with a free trial.

Headquartered in San Francisco, CA with offices in Seattle, WA and Portland OR, MemSQL has raised $110M from top investors including GV, Accel Partners, and Khosla Ventures, among others. MemSQL is trusted by customers including Uber, Akamai, Dell EMC, Samsung, Comcast, Kellogg, and more.


If you want to work at a company that celebrates diversity, innovation, leadership, and creativity every day, check out our openings on our Careers page.  

Competitive advantages

Performance - Shattering the Trillion-Rows-Per-Second Barrier 

Fast data ingest - MemSQL Pipelines for native ingestion of real-time data from external sources

Distributed SQL - Scalable, familiar SQL for high performance

Typical application scenarios

Real-Time Analytics

Internet of Things

Personalization and Recommendations

Risk Management

Monitoring and Detection

Customer 360

Key customers

Comcast - Real-time Stream Processing Architecture

DellEMC - Getting it Right Exactly Once: Principles for Streaming Architectures

Kellogg - How Kellogg Reduced 24-Hour ETL to Minutes and Boosted BI Speed by 20x

Uber - Real-Time Analytics at Uber Scale

Akamai - Unlocking Revenue with In Memory Technology

Fanatics - How Fanatics Powered Their Way to a Better Future

Pandora - Using MemSQL to Query Hundreds of Billions of Rows in a Dashboard

Market metrics

Customers in various industries worldwide -- US and International

Industry Solutions:

Financial Services

Media and Communications

High Technology

Energy and Utilities

Public Sector

Retail and eCommerce

Licensing and pricing models

Free Tier and Enterprise Edition

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
MemSQL
DB-Engines blog posts

Meet some database management systems you are likely to hear more about in the future
4 August 2014, Paul Andlinger

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Recent citations in the news

MemSQL Pushes Translytical Database into the Cloud
24 September 2019, RTInsights

MemSQL joins cloud database gang
25 September 2019, Blocks and Files

MemSQL Readies Cloud Database Service and Revved Operational Analytics Engine
30 September 2019, Channel Futures

MemSQL Ups Ante on Cloud Databases
24 September 2019, Datanami

MemSQL 7.0 set to advance both row and column data stores
8 October 2019, TechTarget

provided by Google News

Job opportunities

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Akamai, Cambridge, MA

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Ping Identity, Denver, CO

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Talex, Platform, OH

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Spring Batch-Lead
Wipro Limited, Dallas, TX

jobs by Indeed




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