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DBMS > Ingres vs. Quasardb vs. Sphinx vs. TimescaleDB vs. VictoriaMetrics

System Properties Comparison Ingres vs. Quasardb vs. Sphinx vs. TimescaleDB vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonQuasardb  Xexclude from comparisonSphinx  Xexclude from comparisonTimescaleDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionWell established RDBMSDistributed, high-performance timeseries databaseOpen source search engine for searching in data from different sources, e.g. relational databasesA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSTime Series DBMSSearch engineTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitewww.actian.com/­databases/­ingresquasar.aisphinxsearch.comwww.timescale.comvictoriametrics.com
Technical documentationdocs.actian.com/­ingresdoc.quasar.ai/­mastersphinxsearch.com/­docsdocs.timescale.comdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperActian CorporationquasardbSphinx Technologies Inc.TimescaleVictoriaMetrics
Initial release1974 infooriginally developed at University Berkely in early 1970s2009200120172018
Current release11.2, May 20223.14.1, January 20243.5.1, February 20232.15.0, May 2024v1.91, May 2023
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++CGo
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
BSD
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infointeger and binarynonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data 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.no infobut tools for importing/exporting data from/to XML-files availablenoyesno
Secondary indexesyesyes infowith tagsyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesSQL-like query languageSQL-like query language (SphinxQL)yes infofull PostgreSQL SQL syntaxno
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP APIProprietary protocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infoconsistent hashingSharding infoPartitioning is done manually, search queries against distributed index is supportedyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesIngres ReplicatorSource-replica replication with selectable replication factornoneSource-replica replication with hot standby and reads on replicas infoSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByes 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.noyes infoTransient modenono
User concepts infoAccess controlfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailnofine grained access rights according to SQL-standard

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IngresQuasardbSphinxTimescaleDBVictoriaMetrics
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