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DBMS > CockroachDB vs. Datomic vs. Fujitsu Enterprise Postgres vs. mSQL

System Properties Comparison CockroachDB vs. Datomic vs. Fujitsu Enterprise Postgres vs. mSQL

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonDatomic  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparison
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.mSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.74
Rank#67  Overall
#36  Relational DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score1.26
Rank#163  Overall
#74  Relational DBMS
Websitewww.cockroachlabs.comwww.datomic.comwww.postgresql.fastware.comhughestech.com.au/­products/­msql
Technical documentationwww.cockroachlabs.com/­docsdocs.datomic.comwww.postgresql.fastware.com/­product-manuals
DeveloperCockroach LabsCognitectPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHughes Technologies
Initial release201520121994
Current release24.1.0, May 20241.0.7180, July 2024Fujitsu Enterprise Postgres 14, January 20224.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercial infolimited edition freecommercialcommercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, ClojureCC
Server operating systemsLinux
macOS
Windows
All OS with a Java VMLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemedynamic schemayesyesyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnoyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsJDBCRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Clojure
Java
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsuser defined functionsno
TriggersnoBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnone infoBut extensive use of caching in the application peerspartitioning by range, list and by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTnone infoBut extensive use of caching in the application peersSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)no
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentno
User concepts infoAccess controlRole-based access controlnofine grained access rights according to SQL-standardno

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More resources
CockroachDBDatomicFujitsu Enterprise PostgresmSQL infoMini SQL
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