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DBMS > Adabas vs. Apache IoTDB vs. Hyprcubd vs. PostGIS vs. Sphinx

System Properties Comparison Adabas vs. Apache IoTDB vs. Hyprcubd vs. PostGIS vs. Sphinx

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache IoTDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonPostGIS  Xexclude from comparisonSphinx  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
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 FlinkServerless Time Series DBMSSpatial extension of PostgreSQLOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelMultivalue DBMSTime Series DBMSTime Series DBMSSpatial DBMSSearch engine
Secondary database modelsRelational 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
Score20.16
Rank#29  Overall
#1  Spatial DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmliotdb.apache.orghyprcubd.com (offline)postgis.netsphinxsearch.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlpostgis.net/­documentationsphinxsearch.com/­docs
DeveloperSoftware AGApache Software FoundationHyprcubd, Inc.Sphinx Technologies Inc.
Initial release1971201820052001
Current release1.1.0, April 20233.4.2, February 20243.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoGPL v2.0Open Source infoGPL version 2, commercial licence available
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 languageJavaGoCC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VM (>= 1.8)hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringyesno
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.nononoyes
Secondary indexesyesyesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL-like query languageSQL-like query languageyesSQL-like query language (SphinxQL)
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
gRPC (https)Proprietary protocol
Supported programming languagesNaturalC
C#
C++
Go
Java
Python
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresin Naturalyesnouser defined functionsno
Triggersnoyesnoyesno
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)yes infobased on PostgreSQLSharding infoPartitioning is done manually, search queries against distributed index is supported
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 replicasyes infobased on PostgreSQLnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)yestoken accessyes infobased on PostgreSQLno

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Adabas infodenotes "adaptable data base"Apache IoTDBHyprcubdPostGISSphinx
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