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DBMS > Datomic vs. Dolt vs. GridDB vs. OrientDB vs. YottaDB

System Properties Comparison Datomic vs. Dolt vs. GridDB vs. OrientDB vs. YottaDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDolt  Xexclude from comparisonGridDB  Xexclude from comparisonOrientDB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA MySQL compatible DBMS with Git-like versioning of data and schemaScalable in-memory time series database optimized for IoT and Big DataMulti-model DBMS (Document, Graph, Key/Value)A fast and solid embedded Key-value store
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Key-value store
Secondary database modelsDocument storeKey-value store
Relational DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#145  Overall
#66  Relational DBMS
Score0.85
Rank#202  Overall
#97  Relational DBMS
Score1.91
Rank#122  Overall
#10  Time Series DBMS
Score2.97
Rank#88  Overall
#16  Document stores
#6  Graph DBMS
#12  Key-value stores
Score0.20
Rank#308  Overall
#43  Key-value stores
Websitewww.datomic.comgithub.com/­dolthub/­dolt
www.dolthub.com
griddb.netorientdb.orgyottadb.com
Technical documentationdocs.datomic.comdocs.dolthub.comdocs.griddb.netwww.orientdb.com/­docs/­last/­index.htmlyottadb.com/­resources/­documentation
DeveloperCognitectDoltHub IncToshiba CorporationOrientDB LTD; CallidusCloud; SAPYottaDB, LLC
Initial release20122018201320102001
Current release1.0.7180, July 20245.1, August 20223.2.29, March 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache version 2Open Source infoAGPL 3.0
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 languageJava, ClojureGoC++JavaC
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
LinuxAll OS with a Java JDK (>= JDK 6)Docker
Linux
Data schemeyesyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-free
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampyesno
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.nonononono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoyesSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query language, no joinsby using the Octo plugin
APIs and other access methodsRESTful HTTP APICLI Client
HTTP REST
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesClojure
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infocurrently in alpha releasenoJava, Javascript
TriggersBy using transaction functionsyesyesHooks
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Source-replica replicationMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integritynoyesnoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at container levelACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
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 developmentyesyes
User concepts infoAccess controlnoOnly one user is configurable, and must be specified in the config file at startupAccess rights for users can be defined per databaseAccess rights for users and roles; record level security configurableUsers and groups based on OS-security mechanisms

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More resources
DatomicDoltGridDBOrientDBYottaDB
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