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DBMS > Citus vs. IBM Db2 Event Store vs. LevelDB vs. Rockset

System Properties Comparison Citus vs. IBM Db2 Event Store vs. LevelDB vs. Rockset

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonLevelDB  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLDistributed Event Store optimized for Internet of Things use casesEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Key-value storeDocument store
Secondary database modelsDocument storeRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.79
Rank#211  Overall
#35  Document stores
Websitewww.citusdata.comwww.ibm.com/­products/­db2-event-storegithub.com/­google/­leveldbrockset.com
Technical documentationdocs.citusdata.comwww.ibm.com/­docs/­en/­db2-event-storegithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.rockset.com
DeveloperIBMGoogleRockset
Initial release2010201720112019
Current release8.1, December 20182.01.23, February 2021
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercial infofree developer edition availableOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and C++C++C++
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionIllumos
Linux
OS X
Windows
hosted
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnodynamic 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 functionalitynonono infoingestion from XML files supported
Secondary indexesyesnonoall fields are automatically indexed
SQL infoSupport of SQLyes infostandard, with numerous extensionsyes infothrough the embedded Spark runtimenoRead-only SQL queries, including JOINs
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP REST
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
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.yesnono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsActive-active shard replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnoAccess rights for users and organizations can be defined via Rockset console

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More resources
CitusIBM Db2 Event StoreLevelDBRockset
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