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DBMS > Datomic vs. Google Cloud Spanner vs. HyperSQL vs. Percona Server for MongoDB vs. Percona Server for MySQL

System Properties Comparison Datomic vs. Google Cloud Spanner vs. HyperSQL vs. Percona Server for MongoDB vs. Percona Server for MySQL

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Multithreaded, 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.
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score2.84
Rank#100  Overall
#51  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
Websitewww.datomic.comcloud.google.com/­spannerhsqldb.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.percona.com/­software/­mysql-database/­percona-server
Technical documentationdocs.datomic.comcloud.google.com/­spanner/­docshsqldb.org/­web/­hsqlDocsFrame.htmldocs.percona.com/­percona-distribution-for-mongodbwww.percona.com/­downloads/­Percona-Server-LATEST
DeveloperCognitectGooglePerconaPercona
Initial release20122017200120152008
Current release1.0.7075, December 20232.7.2, June 20233.4.10-2.10, November 20178.0.36-28, 2024
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infobased on BSD licenseOpen Source infoGPL Version 2Open Source infoGPL version 2
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJavaC++C and C++
Server operating systemsAll OS with a Java VMhostedAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinuxLinux
Data schemeyesyesyesschema-freeyes
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.nonononoyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011yesnoyes
APIs and other access methodsRESTful HTTP APIgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
proprietary protocol using JSONADO.NET
JDBC
ODBC
Supported programming languagesClojure
Java
Go
Java
JavaScript (Node.js)
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
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoTransaction FunctionsnoJava, SQLJavaScriptyes
TriggersBy using transaction functionsnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication with 3 replicas for regional instances.noneSource-replica replicationMulti-source replication
Source-replica replication
XtraDB Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationACIDnoACID
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 developmentnoyesyes infovia In-Memory Engineyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or roles

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More resources
DatomicGoogle Cloud SpannerHyperSQL infoalso known as HSQLDBPercona Server for MongoDBPercona Server for MySQL
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