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DBMS > Citus vs. GRAKN.AI vs. RocksDB

System Properties Comparison Citus vs. GRAKN.AI vs. RocksDB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonGRAKN.AI  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.Embeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Key-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.00
Rank#152  Overall
#73  Relational DBMS
Score0.28
Rank#243  Overall
#18  Graph DBMS
#115  Relational DBMS
Score2.61
Rank#97  Overall
#18  Key-value stores
Websitewww.citusdata.comgrakn.airocksdb.org
Technical documentationdocs.citusdata.comdev.grakn.ai/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperGrakn Labs LtdFacebook, Inc.
Initial release201020162013
Current release8.1, December 20181.6.2, January 20206.5.2, November 2019
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++
Server operating systemsLinuxLinux
OS X
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 functionalitynono
Secondary indexesyesyesno
SQL infoSupport of SQLyes infostandard, with numerous extensionsnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
console (shell)
gRPC protocol
Workbase (visualisation software)
C++ API
Java API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
C++
Java
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication infoother methods possible by using 3rd party extensionsMaster-master replication infoby using Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infosubstituted by the relationship featureno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infoat REST API level; other APIs in progressno
More information provided by the system vendor
CitusGRAKN.AIRocksDB
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more

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More resources
CitusGRAKN.AIRocksDB
Conferences and events

Grakn Cosmos, the universal conference of technologies built using Grakn
London, UK, 6-7 February 2020

Recent citations in the news

Global Hadoop Big Data Analytics Market | Market Drivers Cost Effective Hadoop Big Data and Fast Solution – Dagoretti News
23 January 2020, Dagoretti News

Microsoft acquires Citus Data
24 January 2019, TechCrunch

Microsoft Expands Azure PostgreSQL Moxy Through Citus Data Purchase
30 January 2019, Data Center Knowledge

Microsoft Acquires Citus Data to Dive Deeper into Postgres
30 January 2019, eWeek

Citus Data Announces Citus Cloud Database Support for HIPAA and SOC 2 Type 2 Compliance
13 November 2018, Business Wire

provided by Google News

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