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DBMS > AgensGraph vs. BigchainDB vs. Cassandra vs. Citus

System Properties Comparison AgensGraph vs. BigchainDB vs. Cassandra vs. Citus

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBigchainDB  Xexclude from comparisonCassandra  Xexclude from comparisonCitus  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 assetsWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQL
Primary database modelGraph DBMS
Relational DBMS
Document storeWide column storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#323  Overall
#31  Graph DBMS
#133  Relational DBMS
Score0.83
Rank#180  Overall
#27  Document stores
Score119.18
Rank#10  Overall
#1  Wide column stores
Score1.24
Rank#151  Overall
#74  Relational DBMS
Websitebitnine.netwww.bigchaindb.comcassandra.apache.orgwww.citusdata.com
Technical documentationbitnine.net/­documentationbigchaindb.readthedocs.io/­en/­latestcassandra.apache.org/­doc/­latestdocs.citusdata.com
DeveloperBitnine Global Inc.Apache Software Foundation infoApache top level project, originally developped by Facebook
Initial release2016201620082010
Current release2.1, December 20183.11.8, August 20208.1, December 2018
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoAGPL v3Open Source infoApache version 2Open Source infoAGPL, commercial license also available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCPythonJavaC
Server operating systemsLinux
OS X
Windows
LinuxBSD
Linux
OS X
Windows
Linux
Data schemedepending on used data modelschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nononoyes infospecific XML type available, but no XML query functionality
Secondary indexesyesrestricted infoonly equality queries, not always the best performing solutionyes
SQL infoSupport of SQLyesnoSQL-like SELECT, DML and DDL statements (CQL)yes infostandard, with numerous extensions
APIs and other access methodsCypher Query Language
JDBC
CLI Client
RESTful HTTP API
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
Java
JavaScript
Python
Go
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorselectable replication factor infoRepresentation of geographical distribution of servers is possibleSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAccess rights for users can be defined per objectfine grained access rights according to SQL-standard
More information provided by the system vendor
AgensGraphBigchainDBCassandraCitus
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more

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More resources
AgensGraphBigchainDBCassandraCitus
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