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DBMS > PouchDB vs. SingleStore vs. SpaceTime vs. SpatiaLite

System Properties Comparison PouchDB vs. SingleStore vs. SpaceTime vs. SpatiaLite

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Editorial information provided by DB-Engines
NamePouchDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSpaceTime  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionJavaScript DBMS with an API inspired by CouchDBMySQL 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.Spatial extension of SQLite
Primary database modelDocument storeRelational DBMSSpatial 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
Score2.28
Rank#115  Overall
#21  Document stores
Score5.60
Rank#62  Overall
#35  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitepouchdb.comwww.singlestore.comwww.mireo.com/­spacetimewww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationpouchdb.com/­guidesdocs.singlestore.comwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperApache Software FoundationSingleStore Inc.MireoAlessandro Furieri
Initial release2012201320202008
Current release7.1.1, June 20198.5, January 20245.0.0, August 2020
License infoCommercial or Open SourceOpen Sourcecommercial infofree developer edition availablecommercialOpen 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 languageJavaScriptC++, GoC++C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux info64 bit version requiredLinuxserver-less
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesyes infovia viewsyesnoyes
SQL infoSupport of SQLnoyes infobut no triggers and foreign keysA subset of ANSI SQL is implementedyes
APIs and other access methodsHTTP REST infoonly for PouchDB Server
JavaScript API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
RESTful HTTP API
Supported programming languagesJavaScriptBash
C
C#
Java
JavaScript (Node.js)
Python
C#
C++
Python
Server-side scripts infoStored proceduresView functions in JavaScriptyesnono
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infowith a proxy-based framework, named couchdb-loungeSharding infohash partitioningFixed-grid hypercubesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication infostores two copies of each physical data partition on two separate nodesReal-time block device replication (DRBD)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infocan define user-defined aggregate functions for map-reduce-style calculationsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlnoFine grained access control via users, groups and rolesyesno
More information provided by the system vendor
PouchDBSingleStore infoformer name was MemSQLSpaceTimeSpatiaLite
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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More resources
PouchDBSingleStore infoformer name was MemSQLSpaceTimeSpatiaLite
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Recent citations in the news

Building an Offline First App with PouchDB — SitePoint
10 March 2014, SitePoint

Getting Started with PouchDB Client-Side JavaScript Database — SitePoint
7 September 2016, SitePoint

3 Reasons To Think Offline First
22 March 2017, ibm.com

Create Offline Web Apps Using Service Workers & PouchDB — SitePoint
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