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DBMS > Citus vs. Memgraph vs. OmniSci

System Properties Comparison Citus vs. Memgraph vs. OmniSci

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonMemgraph  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scaleA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.27
Rank#151  Overall
#75  Relational DBMS
Score0.12
Rank#298  Overall
#28  Graph DBMS
Score2.23
Rank#123  Overall
#61  Relational DBMS
Websitewww.citusdata.commemgraph.comwww.omnisci.com
Technical documentationdocs.citusdata.comdocs.memgraph.comdocs.omnisci.com
DeveloperMemgraph LtdMapD Technologies, Inc.
Initial release201020172016
Current release8.1, December 2018V4
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercial infoFree license availableOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and C++C++ and CUDA
Server operating systemsLinuxLinuxLinux
Data schemeyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesno
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Bolt protocol
Cypher query language
JDBC
ODBC
Thrift
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infodynamic graph partitioningSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication using RAFTMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infowith snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsfine grained access rights according to SQL-standard

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More resources
CitusMemgraphOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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