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DBMS > Heroic vs. PostGIS vs. SingleStore vs. VictoriaMetrics

System Properties Comparison Heroic vs. PostGIS vs. SingleStore vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonPostGIS  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchSpatial extension of PostgreSQLMySQL 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 typeA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelTime Series DBMSSpatial DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score23.90
Rank#29  Overall
#1  Spatial DBMS
Score5.91
Rank#61  Overall
#34  Relational DBMS
Score1.42
Rank#161  Overall
#14  Time Series DBMS
Websitegithub.com/­spotify/­heroicpostgis.netwww.singlestore.comvictoriametrics.com
Technical documentationspotify.github.io/­heroicpostgis.net/­documentationdocs.singlestore.comdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperSpotifySingleStore Inc.VictoriaMetrics
Initial release2014200520132018
Current release3.4.2, February 20248.5, January 2024v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL v2.0commercial infofree developer edition availableOpen Source infoApache Version 2.0
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 languageJavaCC++, GoGo
Server operating systemsLinux info64 bit version requiredFreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyesnono
Secondary indexesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLnoyesyes infobut no triggers and foreign keysno
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesBash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsyesno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQLSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on PostgreSQLSource-replica replication infostores two copies of each physical data partition on two separate nodesSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes 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.nonoyesno
User concepts infoAccess controlyes infobased on PostgreSQLFine grained access control via users, groups and roles
More information provided by the system vendor
HeroicPostGISSingleStore infoformer name was MemSQLVictoriaMetrics
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
HeroicPostGISSingleStore infoformer name was MemSQLVictoriaMetrics
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