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DBMS > Datomic vs. HyperSQL vs. Percona Server for MongoDB vs. Percona Server for MySQL vs. Spark SQL

System Properties Comparison Datomic vs. HyperSQL vs. Percona Server for MongoDB vs. Percona Server for MySQL vs. Spark SQL

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Enhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score2.10
Rank#119  Overall
#57  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.datomic.comhsqldb.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.percona.com/­software/­mysql-database/­percona-serverspark.apache.org/­sql
Technical documentationdocs.datomic.comhsqldb.org/­web/­hsqlDocsFrame.htmldocs.percona.com/­percona-distribution-for-mongodbwww.percona.com/­downloads/­Percona-Server-LATESTspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCognitectPerconaPerconaApache Software Foundation
Initial release20122001201520082014
Current release1.0.7075, December 20232.7.2, June 20233.4.10-2.10, November 20178.0.36-28, 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infobased on BSD licenseOpen Source infoGPL Version 2Open Source infoGPL version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC++C and C++Scala
Server operating systemsAll OS with a Java VMAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinuxLinuxLinux
OS X
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoyesnoyesSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP APIHTTP API infoJDBC via HTTP
JDBC
ODBC
proprietary protocol using JSONADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesClojure
Java
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
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJava, SQLJavaScriptyesno
TriggersBy using transaction functionsyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnoneSource-replica replicationMulti-source replication
Source-replica replication
XtraDB Cluster
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
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 developmentyesyes infovia In-Memory Engineyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
DatomicHyperSQL infoalso known as HSQLDBPercona Server for MongoDBPercona Server for MySQLSpark SQL
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