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DBMS > Citus vs. DataFS vs. etcd vs. H2 vs. SWC-DB

System Properties Comparison Citus vs. DataFS vs. etcd vs. H2 vs. SWC-DB

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonDataFS  Xexclude from comparisonetcd  Xexclude from comparisonH2  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A distributed reliable key-value storeFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSObject oriented DBMSKey-value storeRelational DBMSWide column store
Secondary database modelsDocument storeGraph DBMSSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitewww.citusdata.comnewdatabase.cometcd.io
github.com/­etcd-io/­etcd
www.h2database.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.citusdata.comdev.mobiland.com/­Overview.xspetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.h2database.com/­html/­main.html
DeveloperMobiland AGThomas MuellerAlex Kashirin
Initial release2010201820052020
Current release8.1, December 20181.1.263, October 20223.4, August 20192.2.220, July 20230.5, April 2021
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGPL V3
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 languageCGoJavaC++
Server operating systemsLinuxWindowsFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMLinux
Data schemeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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 functionalitynononono
Secondary indexesyesnonoyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnonoyesSQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
Proprietary client DLL
WinRT client
gRPC
JSON over HTTP
JDBC
ODBC
Proprietary protocol
Thrift
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
VB.Net
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
JavaC++
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noJava Stored Procedures and User-Defined Functionsno
Triggersyesno, except callback-events from server when changes happenedyes, watching key changesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingProprietary Sharding systemnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.With clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
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.nononoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardWindows-Profilenofine grained access rights according to SQL-standard

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More resources
CitusDataFSetcdH2SWC-DB infoSuper Wide Column Database
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