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DBMS > OpenQM vs. SingleStore vs. Yanza

System Properties Comparison OpenQM vs. SingleStore vs. Yanza

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Editorial information provided by DB-Engines
NameOpenQM infoalso called QM  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonYanza  Xexclude from comparison
DescriptionQpenQM is a high-performance, self-tuning, multi-value DBMSMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeTime Series DBMS for IoT Applications
Primary database modelMultivalue DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#261  Overall
#10  Multivalue DBMS
Score6.78
Rank#62  Overall
#34  Relational DBMS
Score0.00
Rank#389  Overall
#37  Time Series DBMS
Websitewww.openqm.comwww.singlestore.comyanza.com
Technical documentationwww.openqm.com/­support/­documentationdocs.singlestore.com
DeveloperMartin PhillipsSingleStore Inc.Yanza
Initial release199320132015
Current release3.4-127.6, November 2021
License infoCommercial or Open SourceOpen Source infoGPLv2, extended commercial license availablecommercial infofree developer edition availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStore Managed Service: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageC++, Go
Server operating systemsAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux info64 bit version requiredWindows
Data schemeyes infowith some exceptionsyesschema-free
Typing infopredefined data types such as float or dateyesno
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.yesnono
Secondary indexesyesyesno
SQL infoSupport of SQLnoyes infobut no triggers and foreign keysno
APIs and other access methodsCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
ODBC
HTTP API
Supported programming languages.Net
Basic
C
Java
Objective C
PHP
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresyesyesno
Triggersyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesyesSharding infohash partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights can be defined down to the item levelFine grained access control via users, groups and rolesno
More information provided by the system vendor
OpenQM infoalso called QMSingleStore infoformer name was MemSQLYanza
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
OpenQM infoalso called QMSingleStore infoformer name was MemSQLYanza
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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Conferences and events

Dzone Workshop: Facial Recognition with SQL - SingleStore
Webinar, 10:00AM PST, 16 February 2023

Recent citations in the news

OpenQM
5 March 2019, International Spectrum Magazine

provided by Google News

SingleStore and solutions by stc announce exclusive partnership ...
7 February 2023, businesswire.com

SingleStore details its latest integration with IBM to deliver faster AI ...
12 January 2023, SiliconANGLE News

SingleStore Adds Seasoned Industry Leader Madhukar Kumar as ...
12 January 2023, businesswire.com

Hopara launches on SingleStore
1 February 2023, PR Newswire

How DataDock Built a Financial Data Intelligence Platform
7 February 2023, ITPro Today

provided by Google News



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