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DBMS > Dolt vs. Kinetica vs. TypeDB vs. VoltDB

System Properties Comparison Dolt vs. Kinetica vs. TypeDB vs. VoltDB

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonKinetica  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaFully vectorized database across both GPUs and CPUsTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query languageDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSRelational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Relational DBMS
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.kinetica.comtypedb.comwww.voltdb.com
Technical documentationdocs.dolthub.comdocs.kinetica.comtypedb.com/­docsdocs.voltdb.com
DeveloperDoltHub IncKineticaVaticleVoltDB Inc.
Initial release2018201220162010
Current release7.1, August 20212.26.3, January 202411.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, C++JavaJava, C++
Server operating systemsLinux
macOS
Windows
LinuxLinux
OS X
Windows
Linux
OS X infofor development
Data schemeyesyesyesyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoyes infoonly a subset of SQL 99
APIs and other access methodsCLI Client
HTTP REST
JDBC
ODBC
RESTful HTTP API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Java API
JDBC
RESTful HTTP/JSON API
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++
Java
JavaScript (Node.js)
Python
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseuser defined functionsnoJava
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoby using CassandraSharding
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.Source-replica replicationMulti-source replication infoby using CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesno infosubstituted by the relationship featureno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMno
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupAccess rights for users and roles on table levelyes infoat REST API level; other APIs in progressUsers and roles with access to stored procedures
More information provided by the system vendor
DoltKineticaTypeDB infoformerly named GraknVoltDB
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
DoltKineticaTypeDB infoformerly named GraknVoltDB
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