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DBMS > Dolt vs. FatDB vs. GeoSpock vs. HBase vs. JaguarDB

System Properties Comparison Dolt vs. FatDB vs. GeoSpock vs. HBase vs. JaguarDB

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonFatDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonHBase  Xexclude from comparisonJaguarDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaA .NET NoSQL DBMS that can integrate with and extend SQL Server.Spatial and temporal data processing engine for extreme data scaleWide-column store based on Apache Hadoop and on concepts of BigTablePerformant, highly scalable DBMS for AI and IoT applications
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSWide column storeKey-value store
Vector DBMS
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
geospock.comhbase.apache.orgwww.jaguardb.com
Technical documentationdocs.dolthub.comhbase.apache.org/­book.htmlwww.jaguardb.com/­support.html
DeveloperDoltHub IncFatCloudGeoSpockApache Software Foundation infoApache top-level project, originally developed by PowersetDataJaguar, Inc.
Initial release2018201220082015
Current release2.0, September 20192.3.4, January 20213.3 July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache version 2Open Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC#Java, JavascriptJavaC++ infothe server part. Clients available in other languages
Server operating systemsLinux
macOS
Windows
WindowshostedLinux
Unix
Windows infousing Cygwin
Linux
Data schemeyesschema-freeyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesyesoptions to bring your own types, AVROyes
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.nononono
Secondary indexesyesyestemporal, categoricalnoyes
SQL infoSupport of SQLyesno infoVia inetgration in SQL ServerANSI SQL for query only (using Presto)noA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsCLI Client
HTTP REST
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBCJava API
RESTful HTTP API
Thrift
JDBC
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
C#
C++
Groovy
Java
PHP
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseyes infovia applicationsnoyes infoCoprocessors in Javano
Triggersyesyes infovia applicationsnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingAutomatic shardingShardingSharding
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.selectable replication factorMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoSingle row ACID (across millions of columns)no
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupno infoCan implement custom security layer via applicationsAccess rights for users can be defined per tableAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACrights management via user accounts

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More resources
DoltFatDBGeoSpockHBaseJaguarDB
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