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DBMS > Datomic vs. Dgraph vs. OmniSci

System Properties Comparison Datomic vs. Dgraph vs. OmniSci

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDgraph  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDistributed and scalable native Graph DBMSA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.80
Rank#131  Overall
#65  Relational DBMS
Score1.69
Rank#135  Overall
#11  Graph DBMS
Score1.47
Rank#143  Overall
#70  Relational DBMS
Websitewww.datomic.comdgraph.iogithub.com/­omnisci/­omniscidb
www.omnisci.com
Technical documentationdocs.datomic.comdgraph.io/­docsdocs.omnisci.com
DeveloperCognitectDgraph Labs, Inc.MapD Technologies, Inc.
Initial release201220162016
Current release0.9.5951, July 20195.6, April 2021
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0Open 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 languageJava, ClojureGoC++ and CUDA
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Linux
Data schemeyesschema-freeyes
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLnonoyes
APIs and other access methodsRESTful HTTP APIGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
Thrift
Vega
Supported programming languagesClojure
Java
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsnono
TriggersBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersyesSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSynchronous replication via 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 integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes
User concepts infoAccess controlnono infoPlanned for future releasesfine grained access rights according to SQL-standard
More information provided by the system vendor
DatomicDgraphOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Competitive advantagesHorizontally scalable transactional graph database with fast arbitrary-depth joins...
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DatomicDgraphOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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