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DBMS > Datomic vs. Fujitsu Enterprise Postgres vs. Ignite vs. SAP SQL Anywhere

System Properties Comparison Datomic vs. Fujitsu Enterprise Postgres vs. Ignite vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonIgnite  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionDatomic 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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitewww.datomic.comwww.postgresql.fastware.comignite.apache.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.datomic.comwww.postgresql.fastware.com/­product-manualsapacheignite.readme.io/­docshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperCognitectPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyApache Software FoundationSAP infoformerly Sybase
Initial release201220151992
Current release1.0.6735, June 2023Fujitsu Enterprise Postgres 14, January 2022Apache Ignite 2.617, July 2015
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureCC++, Java, .Net
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyes
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.noyesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesClojure
Java
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsyes (compute grid and cache interceptors can be used instead)yes, in C/C++, Java, .Net or Perl
TriggersBy using transaction functionsyesyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peerspartitioning by range, list and by hashShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationyes (replicated cache)Source-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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
User concepts infoAccess controlnofine grained access rights according to SQL-standardSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard
More information provided by the system vendor
DatomicFujitsu Enterprise PostgresIgniteSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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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DatomicFujitsu Enterprise PostgresIgniteSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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