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

DBMS > OpenTSDB vs. Prometheus vs. RavenDB vs. TimescaleDB

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

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameOpenTSDB  Xexclude from comparisonPrometheus  Xexclude from comparisonRavenDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionScalable Time Series DBMS based on HBaseOpen-source TimeSeries DBMS and monitoring systemOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelTime Series DBMSTime Series DBMSDocument storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#112  Overall
#6  Time Series DBMS
Score3.64
Rank#78  Overall
#3  Time Series DBMS
Score3.88
Rank#73  Overall
#13  Document stores
Score1.73
Rank#122  Overall
#8  Time Series DBMS
Websiteopentsdb.netprometheus.ioravendb.netwww.timescale.com
Technical documentationopentsdb.net/­docs/­build/­html/­index.htmlprometheus.io/­docsravendb.net/­docsdocs.timescale.com
Developercurrently maintained by Yahoo and other contributorsHibernating RhinosTimescale
Initial release2011201520102017
Current release4.2, May 2019
License infoCommercial or Open SourceOpen Source infoLGPLOpen Source infoApache 2.0Open Source infoAGPL version 3, commercial license availableOpen 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.
RavenDB Cloud: Deploy a multi-node managed cluster in minutes. 10% discount for all users throughout 2019.
Implementation languageJavaGoC#C
Server operating systemsLinux
Windows
Linux
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenumeric data for metrics, strings for tagsNumeric data onlynonumerics, 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 indexesnonoyesyes
SQL infoSupport of SQLnonoSQL-like query language (RQL)yes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP API
Telnet API
RESTful HTTP/JSON API.NET Client API
Java Client API
Python Client API
RESTful HTTP API
native C library
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesErlang
Go
Java
Python
R
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on HBaseShardingShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on HBaseyes infoby FederationMulti-master replicationMaster-slave replication with hot standby and reads on slaves info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMapReduce functions can be defined in Linqno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infobased on HBasenoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID, Cluster-wide transaction availableACID
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 controlnonoAccess control on document level using the Authorization Bundlefine grained access rights according to SQL-standard
More information provided by the system vendor
OpenTSDBPrometheusRavenDBTimescaleDB
Specific characteristicsRavenDB is the pioneer NoSQL Document Database that is fully transactional (ACID)...
» more
TimescaleDB is the first open-source time-series database that combines the reliability,...
» more
Competitive advantagesRavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosIoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...
» more
IoT, Industrial Machine, and Sensor Data Various industrial IoT use cases across...
» more
Key customersToyota, Capgemini, Vodafone, Medicaid, Asos, Nomura, RMS Automotive, MSNBC, Pluralsight,...
» more
Altair Engineering Inc., Bloomberg, Comcast, Cray, Cree, DNSFilter, Laika, LaunchDarkly,...
» more
Market metrics2 million+ downloads 1000+ customers including Fortune 500 large enterprises
» more
1 million+ downloads, 6,500+ Github stars
» more
Licensing and pricing modelsRavenDB is available on-premise and in the cloud. RavenDB Cloud is available on AWS...
» more
Apache 2 and Timescale License (TSL); information on pricing for support and enterprise...
» more

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
OpenTSDBPrometheusRavenDBTimescaleDB
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

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

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

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

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

provided by Google News

RavenDB Adds New Enhancements to Its Cloud-Based Database Service Ensuring High Availability in Cloud
4 November 2019, Toolbox

Get To Know: Oren Eini, CEO, RavenDB
22 October 2019, Intelligent CIO Africa

Review: NoSQL database RavenDB
20 March 2019, TechGenix

RavenDB Adds Graph Queries
15 May 2019, Datanami

RavenDB vs MongoDB Database for Modern Apps
28 August 2019, Communal News

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

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

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

provided by Google News

Job opportunities

Site Reliability Engineer I
Grubhub, Chicago, IL

Software Engineering Internship - Metering Operator
Red Hat, Inc., San Francisco, CA

Software Engineer - Big Data Analytics
Zeta Global, New York, NY

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

Sr. Staff Network Automation Engineer (NETDEV)
Visa, Ashburn, VA

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

Data Engineer
Man, Boston, MA

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

Software Engineer IV (ID-033) INTEL
Serco Inc., Columbia, MD

Software Engineer
Honeywell, Broomfield, CO

Data Scientists
Inductive Minds, Washington, DC

GC JUNIOR DEVELOPER
The Home Depot, Houston, TX

Full Stack Developer
David Weekley Homes, Houston, TX

PHP Developer
Mindfire Technology, Layton, UT

Agile Software Developer II
Performant Financial Corporation, Sunrise, FL

Engineering Intern
ST Engineering iDirect, Herndon, VA

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

Principal Engineer - Private Cloud
Comcast, Philadelphia, PA

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

Sr. Engineer
Comcast, Philadelphia, PA

jobs by Indeed




Share this page

Featured Products


Datastax logo

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

Couchbase logo

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

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Neo4j logo

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

Present your product here