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DBMS > Adabas vs. Amazon Neptune vs. KeyDB vs. OpenMLDB vs. TempoIQ

System Properties Comparison Adabas vs. Amazon Neptune vs. KeyDB vs. OpenMLDB vs. TempoIQ

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonKeyDB  Xexclude from comparisonOpenMLDB  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformFast, reliable graph database built for the cloudAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsAn open-source machine learning database that provides a feature platform for training and inferenceScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelMultivalue DBMSGraph DBMS
RDF store
Key-value storeTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
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
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlaws.amazon.com/­neptunegithub.com/­Snapchat/­KeyDB
keydb.dev
openmldb.aitempoiq.com (offline)
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.keydb.devopenmldb.ai/­docs/­zh/­main
DeveloperSoftware AGAmazonEQ Alpha Technology Ltd.4 Paradigm Inc.TempoIQ
Initial release19712017201920202012
Current release2024-2 February 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD-3Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, Java, Scala
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedLinuxLinux
Data schemeyesschema-freeschema-freeFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes
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 indexesyesnoyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaynonoyesno
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
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
SQLAlchemy
HTTP API
Supported programming languagesNaturalC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C++
Go
Java
Python
Scala
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresin NaturalnoLuanono
Triggersnonononoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistanoneShardinghorizontal partitioning
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.Multi-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDOptimistic locking, atomic execution of commands blocks and scriptsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
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)simple password-based access control and ACLfine grained access rights according to SQL-standardsimple authentication-based access control

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More resources
Adabas infodenotes "adaptable data base"Amazon NeptuneKeyDBOpenMLDBTempoIQ infoformerly TempoDB
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