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DBMS > Axibase vs. Datomic vs. GeoSpock vs. Microsoft Azure AI Search vs. SpaceTime

System Properties Comparison Axibase vs. Datomic vs. GeoSpock vs. Microsoft Azure AI Search vs. SpaceTime

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonDatomic  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSpaceTime  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 durabilitySpatial and temporal data processing engine for extreme data scaleSearch-as-a-service for web and mobile app developmentSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelTime Series DBMSRelational DBMSRelational DBMSSearch engineSpatial DBMS
Secondary database modelsTime Series DBMSVector DBMSRelational 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
Score5.52
Rank#59  Overall
#6  Search engines
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websiteaxibase.com/­docs/­atsd/­financewww.datomic.comgeospock.comazure.microsoft.com/­en-us/­services/­searchwww.mireo.com/­spacetime
Technical documentationdocs.datomic.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperAxibase CorporationCognitectGeoSpockMicrosoftMireo
Initial release2013201220152020
Current release155851.0.7075, December 20232.0, 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 servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, ClojureJava, JavascriptC++
Server operating systemsLinuxAll OS with a Java VMhostedhostedLinux
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.nonononono
Secondary indexesnoyestemporal, categoricalyesno
SQL infoSupport of SQLSQL-like query languagenoANSI SQL for query only (using Presto)noA subset of ANSI SQL is implemented
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
RESTful HTTP APIJDBCRESTful HTTP APIRESTful HTTP API
Supported programming languagesGo
Java
PHP
Python
R
Ruby
Clojure
Java
C#
Java
JavaScript
Python
C#
C++
Python
Server-side scripts infoStored proceduresyesyes infoTransaction Functionsnonono
TriggersyesBy using transaction functionsnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersAutomatic shardingSharding infoImplicit feature of the cloud serviceFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoBut extensive use of caching in the application peersyes infoImplicit feature of the cloud serviceReal-time block device replication (DRBD)
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 integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 developmentnonono
User concepts infoAccess controlnoAccess rights for users can be defined per tableyes infousing Azure authenticationyes

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More resources
AxibaseDatomicGeoSpockMicrosoft Azure AI SearchSpaceTime
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