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DBMS > Adabas vs. Apache IoTDB vs. Graph Engine vs. Hazelcast vs. HBase

System Properties Comparison Adabas vs. Apache IoTDB vs. Graph Engine vs. Hazelcast vs. HBase

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache IoTDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHazelcast  Xexclude from comparisonHBase  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 FlinkA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA widely adopted in-memory data gridWide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelMultivalue DBMSTime Series DBMSGraph DBMS
Key-value store
Key-value storeWide column store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmliotdb.apache.orgwww.graphengine.iohazelcast.comhbase.apache.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.graphengine.io/­docs/­manualhazelcast.org/­imdg/­docshbase.apache.org/­book.html
DeveloperSoftware AGApache Software FoundationMicrosoftHazelcastApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release19712018201020082008
Current release1.1.0, April 20235.3.6, November 20232.3.4, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 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 languageJava.NET and CJavaJava
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VM (>= 1.8).NETAll OS with a Java VMLinux
Unix
Windows infousing Cygwin
Data schemeyesyesyesschema-freeschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesyesyesoptions to bring your own types, AVRO
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 infothe object must implement a serialization strategyno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL-like query languagenoSQL-like query languageno
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
RESTful HTTP APIJCache
JPA
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
Supported programming languagesNaturalC
C#
C++
Go
Java
Python
Scala
C#
C++
F#
Visual Basic
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresin Naturalyesyesyes infoEvent Listeners, Executor Servicesyes infoCoprocessors in Java
Triggersnoyesnoyes infoEventsyes
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)horizontal partitioningShardingSharding
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 infoReplicated MapMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparkyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoone or two-phase-commit; repeatable reads; read commitedSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)yesRole-based access controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
Adabas infodenotes "adaptable data base"Apache IoTDBGraph Engine infoformer name: TrinityHazelcastHBase
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