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DBMS > atoti vs. Datomic vs. Fujitsu Enterprise Postgres vs. RethinkDB

System Properties Comparison atoti vs. Datomic vs. Fujitsu Enterprise Postgres vs. RethinkDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDatomic  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.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.DBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Websiteatoti.iowww.datomic.comwww.postgresql.fastware.comrethinkdb.com
Technical documentationdocs.atoti.iodocs.datomic.comwww.postgresql.fastware.com/­product-manualsrethinkdb.com/­docs
DeveloperActiveViamCognitectPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyThe Linux Foundation infosince July 2017
Initial release20122009
Current release1.0.6735, June 2023Fujitsu Enterprise Postgres 14, January 20222.4.1, August 2020
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infolimited edition freecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureCC++
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
OS X
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometry
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyesno
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesClojure
Java
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresPythonyes infoTransaction Functionsuser defined functions
TriggersBy using transaction functionsyesClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnone infoBut extensive use of caching in the application peerspartitioning by range, list and by hashSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes, multi-version concurrency control (MVCC)yes infoMVCC based
Durability infoSupport for making data persistentyes 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.yesyes inforecommended only for testing and developmentno
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes infousers and table-level permissions
More information provided by the system vendor
atotiDatomicFujitsu Enterprise PostgresRethinkDB
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
atotiDatomicFujitsu Enterprise PostgresRethinkDB
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