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DBMS > Hive vs. Kinetica vs. Microsoft Azure AI Search vs. Transbase vs. VelocityDB

System Properties Comparison Hive vs. Kinetica vs. Microsoft Azure AI Search vs. Transbase vs. VelocityDB

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTransbase  Xexclude from comparisonVelocityDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopFully vectorized database across both GPUs and CPUsSearch-as-a-service for web and mobile app developmentA resource-optimized, high-performance, universally applicable RDBMSA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSRelational DBMSSearch engineRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.17
Rank#334  Overall
#148  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitehive.apache.orgwww.kinetica.comazure.microsoft.com/­en-us/­services/­searchwww.transaction.de/­en/­products/­transbase.htmlvelocitydb.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.kinetica.comlearn.microsoft.com/­en-us/­azure/­searchwww.transaction.de/­en/­products/­transbase/­features.htmlvelocitydb.com/­UserGuide
DeveloperApache Software Foundation infoinitially developed by FacebookKineticaMicrosoftTransaction Software GmbHVelocityDB Inc
Initial release20122012201519872011
Current release3.1.3, April 20227.1, August 2021V1Transbase 8.3, 20227.x
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialcommercial infofree development licensecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++C and C++C#
Server operating systemsAll OS with a Java VMLinuxhostedFreeBSD
Linux
macOS
Solaris
Windows
Any that supports .NET
Data schemeyesyesyesyesyes
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.nononono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statementsnoyesno
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
Proprietary native API
.Net
Supported programming languagesC++
Java
PHP
Python
C++
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsnoyesno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenoyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoyesACID
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.yes infoGPU vRAM or System RAMnonoyes
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights for users and roles on table levelyes infousing Azure authenticationfine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
HiveKineticaMicrosoft Azure AI SearchTransbaseVelocityDB
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