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MemSQL System Properties

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Editorial information provided by DB-Engines
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
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Rank#78  Overall
#41  Relational DBMS
Technical documentationdocs.memsql.com
DeveloperMemSQL Inc.
Current release6.0, October 2017
License infoCommercial or Open Sourcecommercial infofree developer edition available
Cloud-based infoOnly available as a cloud serviceno
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
Supported programming languagesBash
JavaScript (Node.js)
Server-side scripts infoStored proceduresno
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
Specific characteristics

In Memory Rowstore and Disk Based Columnstore

Distributed Architecture

Distributed SQL

Converged Data Management for Transactions and Analytics

Competitive advantages

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

Code Generation - native compilation from SQL to machine code

Geospatial Support

JSON Support

Extensibility - support for stored procedures and user defined functions

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

Market metrics

Customers in various industries worldwide -- US and International

Industry Solutions:

High Technology

Retail and eCommerce

Energy and Utilities

Financial Services

Public Sector

Media and Communications

Licensing and pricing models

Developer and Enteprise Editions

Related products and services

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

More resources
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 Updates Flagship Database with Faster Queries and Automation
26 July 2018, Solutions Review

MemSQL Unveil Significant Update to Database for Real-time Modern Applications and Analytical Systems
29 July 2018, insideBIGDATA

Introducing MemSQL 6.5: The World's Fastest Database Just Got Faster
24 July 2018, GlobeNewswire (press release)

MemSQL Boosts its Signature Platform with Accelerated time to Insights
25 July 2018, Database Trends and Applications

In-Memory Databases: Worldwide Market Analysis & Outlook to 2023 - Integration of Technology Within Operations is ...
13 August 2018, Business Wire (press release)

provided by Google News

Job opportunities

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