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DBMS > Adabas vs. Apache Druid vs. Apache IoTDB vs. Microsoft Azure AI Search vs. STSdb

System Properties Comparison Adabas vs. Apache Druid vs. Apache IoTDB vs. Microsoft Azure AI Search vs. STSdb

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache Druid  Xexclude from comparisonApache IoTDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkSearch-as-a-service for web and mobile app developmentKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelMultivalue DBMSRelational DBMS
Time Series DBMS
Time Series DBMSSearch engineKey-value store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmldruid.apache.orgiotdb.apache.orgazure.microsoft.com/­en-us/­services/­searchgithub.com/­STSSoft/­STSdb4
Technical documentationdruid.apache.org/­docs/­latest/­designiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmllearn.microsoft.com/­en-us/­azure/­search
DeveloperSoftware AGApache Software Foundation and contributorsApache Software FoundationMicrosoftSTS Soft SC
Initial release19712012201820152011
Current release29.0.1, April 20241.1.0, April 2023V14.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache Version 2.0commercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC#
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
Unix
All OS with a Java VM (>= 1.8)hostedWindows
Data schemeyesyes infoschema-less columns are supportedyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes infoprimitive types and user defined types (classes)
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 indexesyesyesyesyesno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL for queryingSQL-like query languagenono
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
RESTful HTTP/JSON API
JDBC
Native API
RESTful HTTP API.NET Client API
Supported programming languagesNaturalClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Go
Java
Python
Scala
C#
Java
JavaScript
Python
C#
Java
Server-side scripts infoStored proceduresin Naturalnoyesnono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infomanual/auto, time-basedhorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes, via HDFS, S3 or other storage enginesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate Consistency
Foreign keys infoReferential integritynonononono
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.nonoyesno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)RBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyesyes infousing Azure authenticationno

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More resources
Adabas infodenotes "adaptable data base"Apache DruidApache IoTDBMicrosoft Azure AI SearchSTSdb
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