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DBMS > Adabas vs. Datomic vs. Hive vs. Riak KV

System Properties Comparison Adabas vs. Datomic vs. Hive vs. Riak KV

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDatomic  Xexclude from comparisonHive  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitydata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed, fault tolerant key-value store
Primary database modelMultivalue DBMSRelational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.datomic.comhive.apache.org
Technical documentationdocs.datomic.comcwiki.apache.org/­confluence/­display/­Hive/­Homewww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperSoftware AGCognitectApache Software Foundation infoinitially developed by FacebookOpenSource, formerly Basho Technologies
Initial release1971201220122009
Current release1.0.6735, June 20233.1.3, April 20223.2.0, December 2022
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache Version 2Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaErlang
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VMAll OS with a Java VMLinux
OS X
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesyesrestricted
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoSQL-like DML and DDL statementsno
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
RESTful HTTP APIJDBC
ODBC
Thrift
HTTP API
Native Erlang Interface
Supported programming languagesNaturalClojure
Java
C++
Java
PHP
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresin Naturalyes infoTransaction Functionsyes infouser defined functions and integration of map-reduceErlang
TriggersnoBy using transaction functionsnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistanone infoBut extensive use of caching in the application peersShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatornone infoBut extensive use of caching in the application peersselectable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and development
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)noAccess rights for users, groups and rolesyes, using Riak Security

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Adabas infodenotes "adaptable data base"DatomicHiveRiak KV
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