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DBMS > FatDB vs. GeoSpock vs. Hive vs. JaguarDB vs. Microsoft Azure AI Search

System Properties Comparison FatDB vs. GeoSpock vs. Hive vs. JaguarDB vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonHive  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Spatial and temporal data processing engine for extreme data scaledata warehouse software for querying and managing large distributed datasets, built on HadoopPerformant, highly scalable DBMS for AI and IoT applicationsSearch-as-a-service for web and mobile app development
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSKey-value store
Vector DBMS
Search engine
Secondary database modelsTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitegeospock.comhive.apache.orgwww.jaguardb.comazure.microsoft.com/­en-us/­services/­search
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.jaguardb.com/­support.htmllearn.microsoft.com/­en-us/­azure/­search
DeveloperFatCloudGeoSpockApache Software Foundation infoinitially developed by FacebookDataJaguar, Inc.Microsoft
Initial release2012201220152015
Current release2.0, September 20193.1.3, April 20223.3 July 2023V1
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2Open Source infoGPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#Java, JavascriptJavaC++ infothe server part. Clients available in other languages
Server operating systemsWindowshostedAll OS with a Java VMLinuxhosted
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonono
Secondary indexesyestemporal, categoricalyesyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServerANSI SQL for query only (using Presto)SQL-like DML and DDL statementsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersno
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBCJDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#C++
Java
PHP
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyes infovia applicationsnoyes infouser defined functions and integration of map-reducenono
Triggersyes infovia applicationsnononono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factorMulti-source replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights for users can be defined per tableAccess rights for users, groups and rolesrights management via user accountsyes infousing Azure authentication

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More resources
FatDBGeoSpockHiveJaguarDBMicrosoft Azure AI Search
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