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DBMS > Datomic vs. FeatureBase vs. Linter vs. PostGIS

System Properties Comparison Datomic vs. FeatureBase vs. Linter vs. PostGIS

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFeatureBase  Xexclude from comparisonLinter  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.RDBMS for high security requirementsSpatial extension of PostgreSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSSpatial DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Websitewww.datomic.comwww.featurebase.comlinter.rupostgis.net
Technical documentationdocs.datomic.comdocs.featurebase.compostgis.net/­documentation
DeveloperCognitectMolecula and Pilosa Open Source Contributorsrelex.ru
Initial release2012201719902005
Current release1.0.6735, June 20232022, May 20223.4.2, February 2024
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureGoC and C++C
Server operating systemsAll OS with a Java VMLinux
macOS
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
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.nononoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoSQL queriesyesyes
APIs and other access methodsRESTful HTTP APIgRPC
JDBC
Kafka Connector
ODBC
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesClojure
Java
Java
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infoproprietary syntax with the possibility to convert from PL/SQLuser defined functions
TriggersBy using transaction functionsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnoneyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesSource-replica replicationyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes, using Linux fsyncyesyes
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 developmentyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes infobased on PostgreSQL

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More resources
DatomicFeatureBaseLinterPostGIS
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