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DBMS > Dolt vs. GridGain vs. OrientDB vs. Vitess

System Properties Comparison Dolt vs. GridGain vs. OrientDB vs. Vitess

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonGridGain  Xexclude from comparisonOrientDB  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaGridGain is an in-memory computing platform, built on Apache IgniteMulti-model DBMS (Document, Graph, Key/Value)Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSKey-value store
Relational DBMS
Document store
Graph DBMS
Key-value store
Relational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.gridgain.comorientdb.orgvitess.io
Technical documentationdocs.dolthub.comwww.gridgain.com/­docs/­index.htmlwww.orientdb.com/­docs/­last/­index.htmlvitess.io/­docs
DeveloperDoltHub IncGridGain Systems, Inc.OrientDB LTD; CallidusCloud; SAPThe Linux Foundation, PlanetScale
Initial release2018200720102013
Current releaseGridGain 8.5.13.2.29, March 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache version 2Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, C++, .NetJavaGo
Server operating systemsLinux
macOS
Windows
Linux
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)Docker
Linux
macOS
Data schemeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLSQL-like query language, no joinsyes infowith proprietary extensions
APIs and other access methodsCLI Client
HTTP REST
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseyes (compute grid and cache interceptors can be used instead)Java, Javascriptyes infoproprietary syntax
Triggersyesyes (cache interceptors and events)Hooksyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yes (replicated cache)Multi-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnoyes inforelationship in graphsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupSecurity Hooks for custom implementationsAccess rights for users and roles; record level security configurableUsers with fine-grained authorization concept infono user groups or roles

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More resources
DoltGridGainOrientDBVitess
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