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

DBMS > Blazegraph vs. OpenTSDB vs. Prometheus vs. TimescaleDB

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

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonOpenTSDB  Xexclude from comparisonPrometheus  Xexclude from comparisonTimescaleDB  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Scalable 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 modelGraph DBMS
RDF store
Time Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#193  Overall
#15  Graph DBMS
#8  RDF stores
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.blazegraph.comopentsdb.netprometheus.iowww.timescale.com
Technical documentationwiki.blazegraph.comopentsdb.net/­docs/­build/­html/­index.htmlprometheus.io/­docsdocs.timescale.com
DeveloperBlazegraphcurrently maintained by Yahoo and other contributorsTimescale
Initial release2006201120152017
Current release2.1.4, August 2016
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen 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 languageJavaJavaGoC
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesnumeric 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 SQLSPARQL is used as query languagenonoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
HTTP API
Telnet API
RESTful HTTP/JSON APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
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 proceduresyesnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBaseShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable 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 or Eventual Consistency depending on configurationImmediate Consistency infobased on HBasenoneImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnonoyes
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 controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)nonofine grained access rights according to SQL-standard
More information provided by the system vendor
BlazegraphOpenTSDBPrometheusTimescaleDB
Specific characteristicsTimescaleDB is the first open-source time-series database that combines the reliability,...
» more
Competitive advantagesTimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosIoT, Industrial Machine, and Sensor Data Various industrial IoT use cases across...
» more
Key customersAltair Engineering Inc., Bloomberg, Comcast, Cray, Cree, DNSFilter, Laika, LaunchDarkly,...
» more
Market metrics1 million+ downloads, 6,500+ Github stars
» more
Licensing and pricing modelsApache 2 and Timescale License (TSL); information on pricing for support and enterprise...
» more
News

Blazegraph 2.1.4 Release
29 August 2016

Blazegraph 2.1.2 Release
18 June 2016

Blazegraph 2.1.1 Release!
9 June 2016

Blazegraph 2.1.0 Release!
8 April 2016

Blazegraph 2.0.0 Release!
22 December 2015

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
BlazegraphOpenTSDBPrometheusTimescaleDB
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

GPU Database Market to Undertake Strapping Growth at +20% CAGR by the End 2027 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
21 October 2019, Market Expert

GPU Database Market : Key Trends, Manufacturers in Globe, Benefits, Opportunities to 2026
12 November 2019, Crypto News Byte

Graph Database Market and its Key Opportunities and Challenges - Press Release
8 November 2019, Digital Journal

GPU Database Market is booming worldwide | Kinetica, Omnisci, Sqream, Neo4j
12 November 2019, Virtualnewsusa

Graph Database Market Competitive Insights and Precise Outlook 2019-2025
25 October 2019, The Chicago Sentinel

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

Semantic Java Developer - Scientific Computing
Mount Sinai, New York, NY

Database Administrator
Wikimedia Foundation, San Francisco, CA

Database Architect
Wikimedia Foundation, San Francisco, CA

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

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

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

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

Principal Engineer - Private Cloud
Comcast, Philadelphia, PA

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

Sr. Engineer
Comcast, Philadelphia, PA

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

jobs by Indeed




Share this page

Featured Products

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.


Datastax logo

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

RavenDB logo

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

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.

Present your product here