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DBMS > Prometheus vs. Quasardb vs. TimescaleDB

System Properties Comparison Prometheus vs. Quasardb vs. TimescaleDB

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Editorial information provided by DB-Engines
NamePrometheus  Xexclude from comparisonQuasardb  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionOpen-source TimeSeries DBMS and monitoring systemDistributed, high-performance timeseries databaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.94
Rank#73  Overall
#3  Time Series DBMS
Score0.10
Rank#282  Overall
#22  Time Series DBMS
Score1.79
Rank#117  Overall
#8  Time Series DBMS
Websiteprometheus.iowww.quasardb.netwww.timescale.com
Technical documentationprometheus.io/­docsdoc.quasardb.netdocs.timescale.com
DeveloperquasardbTimescale
Initial release201520092017
Current release3.1, January 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C
Server operating systemsLinux
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateNumeric data onlyyes infointeger and binarynumerics, 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 infoImport of XML data possiblenoyes
Secondary indexesnoyes infowith tagsyes
SQL infoSupport of SQLnoSQL-like query languageyes infofull PostgreSQL SQL syntax
APIs and other access methodsRESTful HTTP/JSON APIHTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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
Server-side scripts infoStored proceduresnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby FederationMaster-slave replication with selectable replication factorMaster-slave replication with hot standby and reads on slaves info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeno
User concepts infoAccess controlnoCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard
More information provided by the system vendor
PrometheusQuasardbTimescaleDB
Specific characteristicsHigh-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
TimescaleDB is the first open-source time-series database that combines the reliability,...
» more
Competitive advantagesHigh performance in a cost-effective small package Real-time results for even large...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosTick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
IoT, Industrial Machine, and Sensor Data Various industrial IoT use cases across...
» more
Key customersLarge EU investment banks US based hedge funds Orolia Tellmeplus
» more
Altair Engineering Inc., Bloomberg, Comcast, Cray, Cree, DNSFilter, Laika, LaunchDarkly,...
» more
Market metricsHas been running in very demanding production environments since 2013 Rapid adoption...
» more
1.8 million+ downloads, 7,500+ Github stars
» more
Licensing and pricing modelsCommunity edition limited to 2 nodes and 16 GiB of storage per node available for...
» more
Apache 2 and Timescale License (TSL); Product matrix here ; information on pricing...
» 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
PrometheusQuasardbTimescaleDB
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