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DBMS > SingleStore vs. SpaceTime vs. Spark SQL vs. SpatiaLite

System Properties Comparison SingleStore vs. SpaceTime vs. Spark SQL vs. SpatiaLite

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Editorial information provided by DB-Engines
NameSingleStore infoformer name was MemSQL  Xexclude from comparisonSpaceTime  Xexclude from comparisonSpark SQL  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionMySQL 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 typeSpaceTime is a spatio-temporal DBMS with a focus on performance.Spark SQL is a component on top of 'Spark Core' for structured data processingSpatial extension of SQLite
Primary database modelRelational DBMSSpatial DBMSRelational DBMSSpatial DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.91
Rank#61  Overall
#34  Relational DBMS
Score0.00
Rank#396  Overall
#8  Spatial DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score1.72
Rank#149  Overall
#3  Spatial DBMS
Websitewww.singlestore.comwww.mireo.com/­spacetimespark.apache.org/­sqlwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.singlestore.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperSingleStore Inc.MireoApache Software FoundationAlessandro Furieri
Initial release2013202020142008
Current release8.5, January 20243.5.0 ( 2.13), September 20235.0.0, August 2020
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialOpen Source infoApache 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: 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++, GoC++ScalaC++
Server operating systemsLinux info64 bit version requiredLinuxLinux
OS X
Windows
server-less
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesnonoyes
SQL infoSupport of SQLyes infobut no triggers and foreign keysA subset of ANSI SQL is implementedSQL-like DML and DDL statementsyes
APIs and other access methodsCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
RESTful HTTP APIJDBC
ODBC
Supported programming languagesBash
C
C#
Java
JavaScript (Node.js)
Python
C#
C++
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnonono
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infohash partitioningFixed-grid hypercubesyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infostores two copies of each physical data partition on two separate nodesReal-time block device replication (DRBD)nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan define user-defined aggregate functions for map-reduce-style calculationsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlFine grained access control via users, groups and rolesyesnono
More information provided by the system vendor
SingleStore infoformer name was MemSQLSpaceTimeSpark SQLSpatiaLite
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...
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Licensing and pricing modelsF ree Tier and Enterprise Edition
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More resources
SingleStore infoformer name was MemSQLSpaceTimeSpark SQLSpatiaLite
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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Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

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