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DBMS > AgensGraph vs. BigchainDB vs. Citus vs. CockroachDB vs. Postgres-XL

System Properties Comparison AgensGraph vs. BigchainDB vs. Citus vs. CockroachDB vs. Postgres-XL

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBigchainDB  Xexclude from comparisonCitus  Xexclude from comparisonCockroachDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelGraph DBMS
Relational DBMS
Document storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitebitnine.net/­agensgraphwww.bigchaindb.comwww.citusdata.comwww.cockroachlabs.comwww.postgres-xl.org
Technical documentationbitnine.net/­documentationbigchaindb.readthedocs.io/­en/­latestdocs.citusdata.comwww.cockroachlabs.com/­docswww.postgres-xl.org/­documentation
DeveloperBitnine Global Inc.Cockroach Labs
Initial release20162016201020152014 infosince 2012, originally named StormDB
Current release2.1, December 20188.1, December 201823.1.1, May 202310 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoAGPL v3Open Source infoAGPL, commercial license also availableOpen Source infoApache 2.0, commercial license availableOpen Source infoMozilla public license
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 languageCPythonCGoC
Server operating systemsLinux
OS X
Windows
LinuxLinuxLinux
macOS
Windows
Linux
macOS
Data schemedepending on used data modelschema-freeyesdynamic schemayes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyes infospecific XML type available, but no XML query functionalitynoyes infoXML type, but no XML query functionality
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoyes infostandard, with numerous extensionsyes, wire compatible with PostgreSQLyes infodistributed, parallel query execution
APIs and other access methodsCypher Query Language
JDBC
CLI Client
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
Java
JavaScript
Python
Go
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nouser defined functions
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardinghorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFThorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
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-standardyesfine grained access rights according to SQL-standardRole-based access controlfine grained access rights according to SQL-standard

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More resources
AgensGraphBigchainDBCitusCockroachDBPostgres-XL
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