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DBMS > 4D vs. Datomic vs. Fujitsu Enterprise Postgres vs. Hypertable

System Properties Comparison 4D vs. Datomic vs. Fujitsu Enterprise Postgres vs. Hypertable

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonDatomic  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemDatomic 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.An open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelRelational DBMSRelational DBMSRelational DBMSWide column store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Websitewww.4d.comwww.datomic.comwww.postgresql.fastware.com
Technical documentationdeveloper.4d.comdocs.datomic.comwww.postgresql.fastware.com/­product-manuals
Developer4D, IncCognitectPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHypertable Inc.
Initial release198420122009
Current releasev20, April 20231.0.6735, June 2023Fujitsu Enterprise Postgres 14, January 20220.9.8.11, March 2016
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureCC++
Server operating systemsOS X
Windows
All OS with a Java VMLinux
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesno
Secondary indexesyesyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLyes infoclose to SQL 92noyesno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Thrift
Supported programming languages4D proprietary IDE
PHP
Clojure
Java
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes infoTransaction Functionsuser defined functionsno
TriggersyesBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peerspartitioning by range, list and by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnone infoBut extensive use of caching in the application peersSource-replica replicationselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
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)yes
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 development
User concepts infoAccess controlUsers and groupsnofine grained access rights according to SQL-standardno
More information provided by the system vendor
4D infoformer name: 4th DimensionDatomicFujitsu Enterprise PostgresHypertable
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
4D infoformer name: 4th DimensionDatomicFujitsu Enterprise PostgresHypertable
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