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DBMS > Dolt vs. EsgynDB vs. FoundationDB vs. H2 vs. Hazelcast

System Properties Comparison Dolt vs. EsgynDB vs. FoundationDB vs. H2 vs. Hazelcast

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonEsgynDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonH2  Xexclude from comparisonHazelcast  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionOrdered key-value store. Core features are complimented by layers.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A widely adopted in-memory data grid
Primary database modelRelational DBMSRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSKey-value store
Secondary database modelsDocument storeSpatial DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.esgyn.cngithub.com/­apple/­foundationdbwww.h2database.comhazelcast.com
Technical documentationdocs.dolthub.comapple.github.io/­foundationdbwww.h2database.com/­html/­main.htmlhazelcast.org/­imdg/­docs
DeveloperDoltHub IncEsgynFoundationDBThomas MuellerHazelcast
Initial release20182015201320052008
Current release6.2.28, November 20202.2.220, July 20235.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++, JavaC++JavaJava
Server operating systemsLinux
macOS
Windows
LinuxLinux
OS X
Windows
All OS with a Java VMAll OS with a Java VM
Data schemeyesyesschema-free infosome layers support schemasyesschema-free
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingyesyes
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.nononoyes infothe object must implement a serialization strategy
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesyessupported in specific SQL layer onlyyesSQL-like query language
APIs and other access methodsCLI Client
HTTP REST
ADO.NET
JDBC
ODBC
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP 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
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseJava Stored Proceduresin SQL-layer onlyJava Stored Procedures and User-Defined Functionsyes infoEvent Listeners, Executor Services
Triggersyesnonoyesyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnoneSharding
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.Multi-source replication between multi datacentersyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyesyesin SQL-layer onlyyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
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.noyesyes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardRole-based access control

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More resources
DoltEsgynDBFoundationDBH2Hazelcast
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