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DBMS > Citus vs. Google Cloud Bigtable vs. OpenMLDB vs. OpenTSDB

System Properties Comparison Citus vs. Google Cloud Bigtable vs. OpenMLDB vs. OpenTSDB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOpenMLDB  Xexclude from comparisonOpenTSDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.An open-source machine learning database that provides a feature platform for training and inferenceScalable Time Series DBMS based on HBase
Primary database modelRelational DBMSKey-value store
Wide column store
Time Series DBMSTime Series DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score0.11
Rank#339  Overall
#30  Time Series DBMS
Score1.59
Rank#140  Overall
#12  Time Series DBMS
Websitewww.citusdata.comcloud.google.com/­bigtableopenmldb.aiopentsdb.net
Technical documentationdocs.citusdata.comcloud.google.com/­bigtable/­docsopenmldb.ai/­docs/­zh/­mainopentsdb.net/­docs/­build/­html/­index.html
DeveloperGoogle4 Paradigm Inc.currently maintained by Yahoo and other contributors
Initial release2010201520202011
Current release8.1, December 20182024-2 February 2024
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen SourceOpen Source infoLGPL
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++, Java, ScalaJava
Server operating systemsLinuxhostedLinuxLinux
Windows
Data schemeyesschema-freeFixed schemaschema-free
Typing infopredefined data types such as float or dateyesnoyesnumeric data for metrics, strings for tags
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.yes infospecific XML type available, but no XML query functionalitynonono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
SQLAlchemy
HTTP API
Telnet API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Go
Java
Python
Scala
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnono
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.nonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardno

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More resources
CitusGoogle Cloud BigtableOpenMLDBOpenTSDB
DB-Engines blog posts

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

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Recent citations in the news

Microsoft acquires Citus Data, re-affirming its commitment to Open Source and accelerating Azure PostgreSQL performance and scale
24 January 2019, Microsoft

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