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DBMS > Citus vs. Dgraph vs. Kinetica vs. Memgraph vs. Tigris

System Properties Comparison Citus vs. Dgraph vs. Kinetica vs. Memgraph vs. Tigris

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonDgraph  Xexclude from comparisonKinetica  Xexclude from comparisonMemgraph  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLDistributed and scalable native Graph DBMSFully vectorized database across both GPUs and CPUsAn open source graph database built for real-time streaming and compatible with Neo4jA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSGraph DBMSRelational DBMSGraph DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitewww.citusdata.comdgraph.iowww.kinetica.commemgraph.comwww.tigrisdata.com
Technical documentationdocs.citusdata.comdgraph.io/­docsdocs.kinetica.commemgraph.com/­docswww.tigrisdata.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperDgraph Labs, Inc.KineticaMemgraph LtdTigris Data, Inc.
Initial release20102016201220172022
Current release8.1, December 20187.1, August 2021
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache 2.0commercialOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoApache Version 2.0
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 languageCGoC, C++C and C++
Server operating systemsLinuxLinux
OS X
Windows
LinuxLinuxLinux
macOS
Windows
Data schemeyesschema-freeyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoSQL-like DML and DDL statementsnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
RESTful HTTP API
Bolt protocol
Cypher query language
CLI Client
gRPC
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nouser defined functionsno
Triggersyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardingSharding infodynamic graph partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsSynchronous replication via RaftSource-replica replicationMulti-source replication using RAFTyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoPlanned for future releasesAccess rights for users and roles on table levelUsers, roles and permissionsAccess rights for users and roles
More information provided by the system vendor
CitusDgraphKineticaMemgraphTigris
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
CitusDgraphKineticaMemgraphTigris
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