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DBMS > Dolt vs. FatDB vs. H2

System Properties Comparison Dolt vs. FatDB vs. H2

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonFatDB  Xexclude from comparisonH2  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaA .NET NoSQL DBMS that can integrate with and extend SQL Server.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.95
Rank#197  Overall
#93  Relational DBMS
Score8.22
Rank#50  Overall
#32  Relational DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.h2database.com
Technical documentationdocs.dolthub.comwww.h2database.com/­html/­main.html
DeveloperDoltHub IncFatCloudThomas Mueller
Initial release201820122005
Current release2.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC#Java
Server operating systemsLinux
macOS
Windows
WindowsAll OS with a Java VM
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesno infoVia inetgration in SQL Serveryes
APIs and other access methodsCLI Client
HTTP REST
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
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#Java
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseyes infovia applicationsJava Stored Procedures and User-Defined Functions
Triggersyesyes infovia applicationsyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
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 factorWith clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standard

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More resources
DoltFatDBH2
Recent citations in the news

Top Data Version Control Tools for Machine Learning Research in 2023
24 July 2023, MarkTechPost

Dolt, a Relational Database with Git-Like Cloning Features
19 August 2020, The New Stack

Data Versioning at Scale: Chaos and Chaos Management
10 February 2023, InfoQ.com

'DoltHub' that can manage database version and host like GitHub
10 June 2020, GIGAZINE(ギガジン)

Are you still not using Version Control for Data?
11 April 2020, Towards Data Science

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