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DBMS > Ingres vs. OpenTSDB vs. Prometheus vs. Riak KV vs. TimescaleDB

System Properties Comparison Ingres vs. OpenTSDB vs. Prometheus vs. Riak KV vs. TimescaleDB

Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonOpenTSDB  Xexclude from comparisonPrometheus  Xexclude from comparisonRiak KV  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionWell established RDBMSScalable Time Series DBMS based on HBaseOpen-source Time Series DBMS and monitoring systemDistributed, fault tolerant key-value storeA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.67
Rank#77  Overall
#42  Relational DBMS
Score1.73
Rank#147  Overall
#12  Time Series DBMS
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Score4.44
Rank#80  Overall
#9  Key-value stores
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websitewww.actian.com/­databases/­ingresopentsdb.netprometheus.iowww.timescale.com
Technical documentationdocs.actian.com/­ingresopentsdb.net/­docs/­build/­html/­index.htmlprometheus.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.timescale.com
DeveloperActian Corporationcurrently maintained by Yahoo and other contributorsOpenSource, formerly Basho TechnologiesTimescale
Initial release1974 infooriginally developed at University Berkely in early 1970s2011201520092017
Current release11.2, May 20223.2.0, December 20222.13.0, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoLGPLOpen Source infoApache 2.0Open Source infoApache version 2, commercial enterprise editionOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaGoErlangC
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Windows
Linux
Windows
Linux
OS X
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnumeric 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.no infobut tools for importing/exporting data from/to XML-files availablenono infoImport of XML data possiblenoyes
Secondary indexesyesnonorestrictedyes
SQL infoSupport of SQLyesnononoyes infofull PostgreSQL SQL syntax
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP API
Telnet API
RESTful HTTP/JSON APIHTTP API
Native Erlang Interface
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesErlang
Go
Java
Python
R
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnonoErlanguser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnonoyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infobased on HBaseShardingSharding infono "single point of failure"yes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesIngres Replicatorselectable replication factor infobased on HBaseyes infoby Federationselectable replication factorSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBasenoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoyes, using Riak Securityfine grained access rights according to SQL-standard

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More resources
IngresOpenTSDBPrometheusRiak KVTimescaleDB
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