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DBMS > Citus vs. Google Cloud Bigtable vs. MonetDB vs. Rockset

System Properties Comparison Citus vs. Google Cloud Bigtable vs. MonetDB vs. Rockset

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMonetDB  Xexclude from comparisonRockset  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.A relational database management system that stores data in columnsA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSKey-value store
Wide column store
Relational DBMSDocument store
Secondary database modelsDocument storeDocument store
Spatial DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websitewww.citusdata.comcloud.google.com/­bigtablewww.monetdb.orgrockset.com
Technical documentationdocs.citusdata.comcloud.google.com/­bigtable/­docswww.monetdb.org/­Documentationdocs.rockset.com
DeveloperGoogleMonetDB BVRockset
Initial release2010201520042019
Current release8.1, December 2018Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoMozilla Public License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCCC++
Server operating systemsLinuxhostedFreeBSD
Linux
OS X
Solaris
Windows
hosted
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesdynamic typing
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 functionalitynono infoingestion from XML files supported
Secondary indexesyesnoyesall fields are automatically indexed
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoyes infoSQL 2003 with some extensionsRead-only SQL queries, including JOINs
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
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes, in SQL, C, Rno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tablesAutomatic sharding
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 zonesnone infoSource-replica replication available in experimental statusyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACIDno
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.nono
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-standardAccess rights for users and organizations can be defined via Rockset console

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More resources
CitusGoogle Cloud BigtableMonetDBRockset
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