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DBMS > Adabas vs. Amazon Neptune vs. Hazelcast vs. OrigoDB vs. TerarkDB

System Properties Comparison Adabas vs. Amazon Neptune vs. Hazelcast vs. OrigoDB vs. TerarkDB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonHazelcast  Xexclude from comparisonOrigoDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformFast, reliable graph database built for the cloudA widely adopted in-memory data gridA fully ACID in-memory object graph databaseA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelMultivalue DBMSGraph DBMS
RDF store
Key-value storeDocument store
Object oriented DBMS
Key-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlaws.amazon.com/­neptunehazelcast.comorigodb.comgithub.com/­bytedance/­terarkdb
Technical documentationaws.amazon.com/­neptune/­developer-resourceshazelcast.org/­imdg/­docsorigodb.com/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperSoftware AGAmazonHazelcastRobert Friberg et alByteDance, originally Terark
Initial release1971201720082009 infounder the name LiveDB2016
Current release5.3.6, November 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses availableOpen Sourcecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedAll OS with a Java VMLinux
Windows
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsno
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.nonoyes infothe object must implement a serialization strategyno infocan be achieved using .NETno
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoSQL-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
OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JCache
JPA
Memcached protocol
RESTful HTTP API
.NET Client API
HTTP API
LINQ
C++ API
Java API
Supported programming languagesNaturalC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.NetC++
Java
Server-side scripts infoStored proceduresin Naturalnoyes infoEvent Listeners, Executor Servicesyesno
Triggersnonoyes infoEventsyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistanoneShardinghorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.yes infoReplicated MapSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynoyes infoRelationships in graphsnodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitedACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access controlRole based authorizationno

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Adabas infodenotes "adaptable data base"Amazon NeptuneHazelcastOrigoDBTerarkDB
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