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DBMS > Axibase vs. Datomic vs. Fujitsu Enterprise Postgres vs. GeoSpock vs. Microsoft Azure AI Search

System Properties Comparison Axibase vs. Datomic vs. Fujitsu Enterprise Postgres vs. GeoSpock vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonDatomic  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationDatomic 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.Spatial and temporal data processing engine for extreme data scaleSearch-as-a-service for web and mobile app development
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Websiteaxibase.com/­docs/­atsd/­financewww.datomic.comwww.postgresql.fastware.comgeospock.comazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.datomic.comwww.postgresql.fastware.com/­product-manualslearn.microsoft.com/­en-us/­azure/­search
DeveloperAxibase CorporationCognitectPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGeoSpockMicrosoft
Initial release201320122015
Current release155851.0.6735, June 2023Fujitsu Enterprise Postgres 14, January 20222.0, September 2019V1
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercial infolimited edition freecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, ClojureCJava, Javascript
Server operating systemsLinuxAll OS with a Java VMLinux
Windows
hostedhosted
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyesyesyes
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.nononono
Secondary indexesnoyesyestemporal, categoricalyes
SQL infoSupport of SQLSQL-like query languagenoyesANSI SQL for query only (using Presto)no
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCRESTful HTTP API
Supported programming languagesGo
Java
PHP
Python
R
Ruby
Clojure
Java
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyesyes infoTransaction Functionsuser defined functionsnono
TriggersyesBy using transaction functionsyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peerspartitioning by range, list and by hashAutomatic shardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoBut extensive use of caching in the application peersSource-replica replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes 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 developmentnono
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users can be defined per tableyes infousing Azure authentication

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More resources
AxibaseDatomicFujitsu Enterprise PostgresGeoSpockMicrosoft Azure AI Search
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