DB-EnginesCrateDB bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > MonetDB vs. OpenTSDB vs. Prometheus vs. TimescaleDB

System Properties Comparison MonetDB vs. OpenTSDB vs. Prometheus vs. TimescaleDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonOpenTSDB  Xexclude from comparisonPrometheus  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionA relational database management system that stores data in columnsScalable Time Series DBMS based on HBaseOpen-source TimeSeries DBMS and monitoring systemA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#115  Overall
#57  Relational DBMS
Score2.13
Rank#112  Overall
#6  Time Series DBMS
Score3.64
Rank#78  Overall
#3  Time Series DBMS
Score1.73
Rank#122  Overall
#8  Time Series DBMS
Websitewww.monetdb.orgopentsdb.netprometheus.iowww.timescale.com
Technical documentationwww.monetdb.org/­Documentationopentsdb.net/­docs/­build/­html/­index.htmlprometheus.io/­docsdocs.timescale.com
DeveloperMonetDB BVcurrently maintained by Yahoo and other contributorsTimescale
Initial release2004201120152017
Current releaseApr2019, April 2019
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open Source infoLGPLOpen Source infoApache 2.0Open Source infoApache 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 languageCJavaGoC
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnumeric data for metrics, strings for tagsNumeric 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 indexesyesnonoyes
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsnonoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP API
Telnet API
RESTful HTTP/JSON APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Erlang
Go
Java
Python
R
Ruby
.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 proceduresyes, in SQL, C, Rnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesSharding infobased on HBaseShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoMaster-slave replication available in experimental statusselectable replication factor infobased on HBaseyes infoby FederationMaster-slave replication with hot standby and reads on slaves info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infobased on HBasenoneImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardnonofine grained access rights according to SQL-standard
More information provided by the system vendor
MonetDBOpenTSDBPrometheusTimescaleDB
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
TimescaleDB is the first open-source time-series database that combines the reliability,...
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
IoT, Industrial Machine, and Sensor Data Various industrial IoT use cases across...
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Altair Engineering Inc., Bloomberg, Comcast, Cray, Cree, DNSFilter, Laika, LaunchDarkly,...
» more
Market metrics1 million+ downloads, 6,500+ Github stars
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more
Apache 2 and Timescale License (TSL); information on pricing for support and enterprise...
» more
News

Limit memory usage of MonetDB on Linux with CGROUPS
9 May 2019

SQL:2003 merge statements now supported in MonetDB
8 March 2019

Extended SQL:2011 Window Functions in MonetDB
26 February 2019

Updatable MERGE TABLEs with partition predicates
26 February 2019

Remote Tables and Authorization
10 August 2018

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
MonetDBOpenTSDBPrometheusTimescaleDB
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

show all

Recent citations in the news

MonetDB Solutions secures investment from ServiceNow
1 October 2019, Centrum Wiskunde & Informatica (CWI)

CWI research collaboration leads to 100 million euro investment in Amsterdam
6 November 2019, Centrum Wiskunde & Informatica (CWI)

RDBMS Software Market Report 2019: Acute Analysis of Global Demand and Supply 2024 with Major Key Player: Cubrid, TmaxSoft, SQLite, Oracle, Microsoft, VoltDB & more
12 November 2019, Eastlake Times

RDBMS Software Market Size, Historical Growth, Analysis, Opportunities and Forecast To 2024
12 November 2019, Technology Magazine

Global RDBMS Software Market 2019 CAGR Status – SQLite, ThinkSQL, Oracle, Microsoft, IBM, PostgreSQL Global
6 November 2019, News Midget

provided by Google News

Pinterest Switches from OpenTSDB to Their Own Time Series Database
16 September 2018, InfoQ.com

Metrics Collection and Monitoring at Robinhood Engineering
23 May 2017, InfoQ.com

DevOps Chat: CI/CD Velocity for Large Monolithic Services with Pinterest
28 October 2019, DevOps.com

Inside Stack Overflow's Monitoring Systems
21 December 2018, InfoQ.com

The new rise of time-series databases
26 February 2018, Smart Industry

provided by Google News

The Challenge of Scaling Metrics in Distributed Systems
5 November 2019, DevOps.com

Full Stack Monitoring of JVM Applications, Using Micrometer
25 October 2019, InfoQ.com

Grafana bags $24 million to advance its open-source 'observability' suite
24 October 2019, SiliconANGLE

InfluxData Launches Enterprise-Class Time Series Solution as a Cloud Service
30 October 2019, Integration Developers

Prometheus 2.9 leaves time series issues behind, improves service discovery • DEVCLASS
15 April 2019, DevClass

provided by Google News

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

Timescale announces $15M investment and new enterprise version of TimescaleDB
29 January 2019, TechCrunch

TimescaleDB goes distributed; implements ‘Chunking’ over ‘Sharding’ for scaling-out
22 August 2019, Packt Hub

Why time series databases are exploding in popularity
26 June 2019, TechRepublic

The First Complete Life-Cycle Database Management Solution for TimescaleDB
16 April 2019, PRNewswire

provided by Google News

Job opportunities

Data Scientist
Cerebri AI, Washington, DC

Data Scientist
Cerebri AI, Austin, TX

Site Reliability Engineer I
Grubhub, Chicago, IL

Tool Development and Automation - Equities Electronic Trading
Goldman Sachs, New York, NY

DevOps Engineer Intern, Monitoring & Automation
Blizzard Entertainment, Irvine, CA

Lead Infrastructure Reliability Engineering
Visa, Ashburn, VA

Software Architects (Multiple Locations)
Salesforce, San Francisco, CA

DevOps Inventory Engineer Analyst
Medical Science & Computing, Inc., Bethesda, MD

Data Engineer
Man, Boston, MA

Data Management Engineer
Lawrence Berkeley National Laboratory, San Francisco Bay Area, CA

Staff Performance Test Engineer
8x8, Inc., San Jose, CA

NETWORK AUTOMATION ENGINEER
VeriSign, Reston, VA

Engineering Intern
ST Engineering iDirect, Herndon, VA

Systems Reliability Engineer
PacketFabric, Culver City, CA

Principal Engineer - Data Pipeline
Tagup Inc., Somerville, MA

Sr Software Engineer – Cloud Infrastructure Predictive Analytics
PCI, Fort Meade, MD

Principal Engineer - Private Cloud
Comcast, Philadelphia, PA

jobs by Indeed




Share this page

Featured Products

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance


Datastax logo

Build data-driven applications that set the standard for performance, availability,
& scale with DataStax.
Learn more.

Present your product here