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DBMS > Datomic vs. HEAVY.AI vs. HyperSQL vs. Percona Server for MongoDB

System Properties Comparison Datomic vs. HEAVY.AI vs. HyperSQL vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Websitewww.datomic.comgithub.com/­heavyai/­heavydb
www.heavy.ai
hsqldb.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.datomic.comdocs.heavy.aihsqldb.org/­web/­hsqlDocsFrame.htmldocs.percona.com/­percona-distribution-for-mongodb
DeveloperCognitectHEAVY.AI, Inc.Percona
Initial release2012201620012015
Current release1.0.6735, June 20235.10, January 20222.7.2, June 20233.4.10-2.10, November 2017
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2; enterprise edition availableOpen Source infobased on BSD licenseOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++ and CUDAJavaC++
Server operating systemsAll OS with a Java VMLinuxAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
Data schemeyesyesyesschema-free
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.nononono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
Vega
HTTP API infoJDBC via HTTP
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesClojure
Java
All languages supporting JDBC/ODBC/Thrift
Python
All languages supporting JDBC/ODBC
Java
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresyes infoTransaction FunctionsnoJava, SQLJavaScript
TriggersBy using transaction functionsnoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infoRound robinnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyesyes infovia In-Memory Engine
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
DatomicHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HyperSQL infoalso known as HSQLDBPercona Server for MongoDB
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