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DBMS > Adabas vs. Apache IoTDB vs. Hawkular Metrics vs. Kinetica vs. Percona Server for MongoDB

System Properties Comparison Adabas vs. Apache IoTDB vs. Hawkular Metrics vs. Kinetica vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache IoTDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKinetica  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Fully vectorized database across both GPUs and CPUsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelMultivalue DBMSTime Series DBMSTime Series DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.64
Rank#104  Overall
#1  Multivalue DBMS
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.50
Rank#250  Overall
#39  Document stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmliotdb.apache.orgwww.hawkular.orgwww.kinetica.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.kinetica.comdocs.percona.com/­percona-distribution-for-mongodb
DeveloperSoftware AGApache Software FoundationCommunity supported by Red HatKineticaPercona
Initial release19712018201420122015
Current release1.1.0, April 20237.1, August 20213.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC, C++C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VM (>= 1.8)Linux
OS X
Windows
LinuxLinux
Data schemeyesyesschema-freeyesschema-free
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.nonononono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL-like query languagenoSQL-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
JDBC
Native API
HTTP RESTJDBC
ODBC
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesNaturalC
C#
C++
Go
Java
Python
Scala
Go
Java
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresin Naturalyesnouser defined functionsJavaScript
Triggersnoyesyes infovia Hawkular Alertingyes 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 Vistahorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatorselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasselectable replication factor infobased on CassandraSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
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.noyesnoyes infoGPU vRAM or System RAMyes infovia In-Memory Engine
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)yesnoAccess rights for users and roles on table levelAccess rights for users and roles

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More resources
Adabas infodenotes "adaptable data base"Apache IoTDBHawkular MetricsKineticaPercona Server for MongoDB
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