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DBMS > CrateDB vs. Prometheus vs. TimescaleDB

System Properties Comparison CrateDB vs. Prometheus vs. TimescaleDB

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonPrometheus  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionDistributed Date Store based on LuceneOpen-source TimeSeries DBMS and monitoring systemA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMS
Search engine
Time Series DBMSTime Series DBMS
Secondary database modelsDocument store
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.83
Rank#198  Overall
#97  Relational DBMS
#12  Search engines
Score6.02
Rank#61  Overall
#3  Time Series DBMS
Score3.14
Rank#93  Overall
#5  Time Series DBMS
Websitecrate.ioprometheus.iowww.timescale.com
Technical documentationcrate.io/­docsprometheus.io/­docsdocs.timescale.com
DeveloperCrateTimescale
Initial release201320152017
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0Open 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 languageJavaGoC
Server operating systemsAll OS with a Java 7 (and higher) VMLinux
Windows
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesNumeric data onlynumerics, 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.nono infoImport of XML data possibleyes
Secondary indexesyesnoyes
SQL infoSupport of SQLyes, but no triggers and constraintsnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
RESTful HTTP/JSON APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesErlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsnouser 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 nodesShardingShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoby FederationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
noneImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategynoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlrights management via user accountsnofine grained access rights according to SQL-standard
More information provided by the system vendor
CrateDBPrometheusTimescaleDB
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
Timescale is the creator of TimescaleDB , the first open-source relational database...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
DevOps and Infrastructure Monitoring All monitoring data is time-series data. Efficiently...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
TransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco,...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
With over 9,000 GitHub stars and growing, 600,000 active databases, and an active...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more
TimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*,...
» more

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More resources
CrateDBPrometheusTimescaleDB
Recent citations in the news

Crate.io Expands CrateDB Cloud with the Launch of CrateDB Edge
15 April 2021, GlobeNewswire

Crate.io Open Sources the Entire Codebase of CrateDB – the
24 March 2021, GlobeNewswire

CrateDB 4.5 is Now Available as an Open Source Database
25 March 2021, Database Trends and Applications

CrateDB 4.5 takes distributed SQL database open source
24 March 2021, TechTarget

CrateDB takes distributed SQL DB fully open source with release of v4.5 • DEVCLASS
25 March 2021, DevClass

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8 July 2021, The Manomet Current

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8 June 2021, ZDNet

Time Series Databases Software Market Opportunities, 2021 Global Analysis, Forecast To 2026 – Murphy's Hockey Law
27 July 2021, Murphy's Hockey Law

provided by Google News

Timescale grabs $40M Series B as it goes all in on cloud version of time series database
5 May 2021, TechCrunch

Timescale Launches Industry's First Multi-Node Relational Database for Time-Series Data, Giving Organizations Unprecedented Scale
29 October 2020, Business Wire

Timescale scales out and sets its sights on analytics
17 June 2021, ZDNet

AiThority Interview with Oleg Bartunov, CEO at Postgres Professional
5 July 2021, AiThority

TimescaleDB Delivers Another Option for Time-Series Analytics
17 October 2019, Datanami

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