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DBMS > BigchainDB vs. Cassandra vs. Citus vs. Postgres-XL

System Properties Comparison BigchainDB vs. Cassandra vs. Citus vs. Postgres-XL

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonCassandra  Xexclude from comparisonCitus  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionBigchainDB 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 PostgreSQLBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelDocument storeWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score0.56
Rank#218  Overall
#104  Relational DBMS
Websitewww.bigchaindb.comcassandra.apache.orgwww.citusdata.comwww.postgres-xl.org
Technical documentationbigchaindb.readthedocs.io/­en/­latestcassandra.apache.org/­doc/­latestdocs.citusdata.comwww.postgres-xl.org/­documentation
DeveloperApache Software Foundation infoApache top level project, originally developped by Facebook
Initial release2016200820102014 infosince 2012, originally named StormDB
Current release3.11.8, August 20208.1, December 201810 R1, October 2018
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache version 2Open Source infoAGPL, commercial license also availableOpen Source infoMozilla public license
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 languagePythonJavaCC
Server operating systemsLinuxBSD
Linux
OS X
Windows
LinuxLinux
macOS
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 functionalityyes infoXML type, but no XML query functionality
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesyes
SQL infoSupport of SQLnoSQL-like SELECT, DML and DDL statements (CQL)yes infostandard, with numerous extensionsyes infodistributed, parallel query execution
APIs and other access methodsCLI 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
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
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
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"Shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable 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 methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlyesAccess rights for users can be defined per objectfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
BigchainDBCassandraCitusPostgres-XL
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
BigchainDBCassandraCitusPostgres-XL
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