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DBMS > GeoSpock vs. Prometheus vs. Quasardb vs. TimescaleDB vs. Vitess

System Properties Comparison GeoSpock vs. Prometheus vs. Quasardb vs. TimescaleDB vs. Vitess

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparisonTimescaleDB  Xexclude from comparisonVitess  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries databaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsTime Series DBMSRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitegeospock.comprometheus.ioquasar.aiwww.timescale.comvitess.io
Technical documentationprometheus.io/­docsdoc.quasar.ai/­masterdocs.timescale.comvitess.io/­docs
DeveloperGeoSpockquasardbTimescaleThe Linux Foundation, PlanetScale
Initial release2015200920172013
Current release2.0, September 20193.14.1, January 20242.15.0, May 202415.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptGoC++CGo
Server operating systemshostedLinux
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyes infointeger and binarynumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.nono infoImport of XML data possiblenoyes
Secondary indexestemporal, categoricalnoyes infowith tagsyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)noSQL-like query languageyes infofull PostgreSQL SQL syntaxyes infowith proprietary extensions
APIs and other access methodsJDBCRESTful HTTP/JSON APIHTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnononouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellyes infoproprietary syntax
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding infoconsistent hashingyes, across time and space (hash partitioning) attributesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby FederationSource-replica replication with selectable replication factorSource-replica replication with hot standby and reads on replicas infoMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modenoyes
User concepts infoAccess controlAccess rights for users can be defined per tablenoCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
GeoSpockPrometheusQuasardbTimescaleDBVitess
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