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DBMS > Adabas vs. Amazon SimpleDB vs. HEAVY.AI vs. Lovefield vs. RDFox

System Properties Comparison Adabas vs. Amazon SimpleDB vs. HEAVY.AI vs. Lovefield vs. RDFox

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLovefield  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEmbeddable relational database for web apps written in pure JavaScriptHigh performance knowledge graph and semantic reasoning engine
Primary database modelMultivalue DBMSKey-value storeRelational DBMSRelational DBMSGraph DBMS
RDF store
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.58
Rank#91  Overall
#1  Multivalue DBMS
Score1.88
Rank#139  Overall
#24  Key-value stores
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score0.32
Rank#290  Overall
#132  Relational DBMS
Score0.24
Rank#309  Overall
#25  Graph DBMS
#14  RDF stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlaws.amazon.com/­simpledbgithub.com/­heavyai/­heavydb
www.heavy.ai
google.github.io/­lovefieldwww.oxfordsemantic.tech
Technical documentationdocs.aws.amazon.com/­simpledbdocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.oxfordsemantic.tech
DeveloperSoftware AGAmazonHEAVY.AI, Inc.GoogleOxford Semantic Technologies
Initial release19712007201620142017
Current release5.10, January 20222.1.12, February 20176.0, Septermber 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAJavaScriptC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS
Windows
Data schemeyesschema-freeyesyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonono
Secondary indexesyesyes infoAll columns are indexed automaticallynoyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoyesSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
RESTful HTTP APIJDBC
ODBC
Thrift
Vega
RESTful HTTP API
SPARQL 1.1
Supported programming languagesNatural.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
JavaScriptC
Java
Server-side scripts infoStored proceduresin Naturalnonono
TriggersnononoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistanone infoSharding must be implemented in the applicationSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatoryesMulti-source replicationnonereplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDByes
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)fine grained access rights according to SQL-standardnoRoles, resources, and access types

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More resources
Adabas infodenotes "adaptable data base"Amazon SimpleDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldRDFox
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