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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
Database modelRelational DBMS
DB-Engines Ranking measures the popularity of database management systems
Trend Chart
Rank#62  Overall
#34  Relational DBMS
Technical documentationdocs.memsql.com/­docs
DeveloperMemSQL Inc.
Current release5.0, March 2016
License Commercial or Open Sourcecommercial free community edition available
Cloud-based Only available as a cloud serviceno
Implementation languageC++
Server operating systemsLinux 64 bit version required
Data schemeyes
Typing predefined data types such as float or dateyes
XML support Some 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 Support of (almost full) SQL standard (DML, DDL and DCL statements)yes
APIs and other access methodsJDBC
Supported programming languagesBash
JavaScript (Node.js)
Server-side scripts Stored proceduresno
Partitioning methods Methods for storing different data on different nodesSharding
Replication methods Methods for redundantly storing data on multiple nodesMaster-slave replication
MapReduce Offers an API for user-defined Map/Reduce methodsno
Consistency concepts Methods to ensure consistency in a distributed systemImmediate Consistency only within each node
Foreign keys Referential integrityyes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of dataACID Only isolation level: READ COMMITED
Concurrency Support for concurrent manipulation of datayes, multi-version concurrency control (MVCC)
Durability Support for making data persistentyes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.yes
User concepts Access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
Specific characteristics

In Memory Database

Distributed Architecture

SQL ease-of-use

HTAP - Hybrid Transaction/Analytical Processing

Competitive advantages

#1 Real-Time Data Warehouse (Gartner Report)

Combine streaming, database, and data warehouse workloads in a single system

In-Memory processing for real-time analytics

SQL ease-of-use

Flexible deployment options: On-premises, Cloud, Hybrid Cloud, Gove Cloud

Geospatial Functionality

Typical application scenarios

Real-Time Analytics

Internet of Things

Portfolio Tracking 

Risk Management

Personalized User Experience

Anomaly Detection

Key customers

Kellogg - 24hour ETL to minutes and 20x faster dashboard performance

Tapjoy - 100x query performance

Pinterest - Real-Time Dashboards

Akamai - 1.9 million upserts per second

Licensing and pricing models

Community Edition - Free Download

Enterprise Edition - Free 30-Day Trial

3rd party products and services

We invite representatives of 3rd party vendors 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

Why this new school database might be your next data warehouse
14 March 2017, TechRepublic

MemSQL raises $36M Series C round for its in-memory database platform
21 April 2016, TechCrunch

Startup Spotlight: MemSQL's Database Platform for Real-time Analytics
9 September 2016, Enterprise Apps Today

MemSQL, Tableau, and the Democratization of Data
12 November 2016, DZone News

Midas Brink List Lookback -- Where Are They Now?
18 April 2017, Forbes

provided by Google News

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