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DBMS > Adabas vs. Hive vs. Kinetica vs. Quasardb

System Properties Comparison Adabas vs. Hive vs. Kinetica vs. Quasardb

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonHive  Xexclude from comparisonKinetica  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformdata warehouse software for querying and managing large distributed datasets, built on HadoopFully vectorized database across both GPUs and CPUsDistributed, high-performance timeseries database
Primary database modelMultivalue DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlhive.apache.orgwww.kinetica.comquasar.ai
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.kinetica.comdoc.quasar.ai/­master
DeveloperSoftware AGApache Software Foundation infoinitially developed by FacebookKineticaquasardb
Initial release1971201220122009
Current release3.1.3, April 20227.1, August 20213.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VMLinuxBSD
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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 indexesyesyesyesyes infowith tags
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL-like DML and DDL statementsSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languagesNaturalC++
Java
PHP
Python
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresin Naturalyes infouser defined functions and integration of map-reduceuser defined functionsno
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatorselectable replication factorSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyes infoTransient mode
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access rights for users, groups and rolesAccess rights for users and roles on table levelCryptographically strong user authentication and audit trail

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More resources
Adabas infodenotes "adaptable data base"HiveKineticaQuasardb
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