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DBMS > ObjectBox vs. PostGIS vs. Prometheus vs. SingleStore

System Properties Comparison ObjectBox vs. PostGIS vs. Prometheus vs. SingleStore

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Editorial information provided by DB-Engines
NameObjectBox  Xexclude from comparisonPostGIS  Xexclude from comparisonPrometheus  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionExtremely fast embedded database for small devices, IoT and MobileSpatial extension of PostgreSQLOpen-source Time Series DBMS and monitoring systemMySQL 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 type
Primary database modelObject oriented DBMSSpatial DBMSTime Series DBMSRelational DBMS
Secondary database modelsTime Series DBMSRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score5.60
Rank#62  Overall
#35  Relational DBMS
Websiteobjectbox.iopostgis.netprometheus.iowww.singlestore.com
Technical documentationdocs.objectbox.iopostgis.net/­documentationprometheus.io/­docsdocs.singlestore.com
DeveloperObjectBox LimitedSingleStore Inc.
Initial release2017200520152013
Current release3.4.2, February 20248.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoGPL v2.0Open Source infoApache 2.0commercial infofree developer edition available
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 and C++CGoC++, Go
Server operating systemsAndroid
iOS
Linux
macOS
Windows
Linux
Windows
Linux info64 bit version required
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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.noyesno infoImport of XML data possibleno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyesnoyes infobut no triggers and foreign keys
APIs and other access methodsProprietary native APIRESTful HTTP/JSON APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsnoyes
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneyes infobased on PostgreSQLShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesonline/offline synchronization between client and serveryes infobased on PostgreSQLyes infoby FederationSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlyesyes infobased on PostgreSQLnoFine grained access control via users, groups and roles
More information provided by the system vendor
ObjectBoxPostGISPrometheusSingleStore infoformer name was MemSQL
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
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