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DBMS > SpaceTime vs. Sphinx vs. SQream DB vs. VictoriaMetrics

System Properties Comparison SpaceTime vs. Sphinx vs. SQream DB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameSpaceTime  Xexclude from comparisonSphinx  Xexclude from comparisonSQream DB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionSpaceTime is a spatio-temporal DBMS with a focus on performance.Open source search engine for searching in data from different sources, e.g. relational databasesa GPU-based, columnar RDBMS for big data analytics workloadsA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelSpatial DBMSSearch engineRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.mireo.com/­spacetimesphinxsearch.comsqream.comvictoriametrics.com
Technical documentationsphinxsearch.com/­docsdocs.sqream.comdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperMireoSphinx Technologies Inc.SQream TechnologiesVictoriaMetrics
Initial release2020200120172018
Current release3.5.1, February 20232022.1.6, December 2022v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availablecommercialOpen 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.
Implementation languageC++C++C++, CUDA, Haskell, Java, ScalaGo
Server operating systemsLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
LinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesnoyes, ANSI Standard SQL Types
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
Secondary indexesnoyes infofull-text index on all search fieldsno
SQL infoSupport of SQLA subset of ANSI SQL is implementedSQL-like query language (SphinxQL)yesno
APIs and other access methodsRESTful HTTP APIProprietary protocol.Net
JDBC
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC#
C++
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonouser defined functions in Pythonno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesFixed-grid hypercubesSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesReal-time block device replication (DRBD)nonenoneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyesno

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More resources
SpaceTimeSphinxSQream DBVictoriaMetrics
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