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DBMS > 4D vs. Adabas vs. Amazon Neptune vs. Amazon SimpleDB vs. HEAVY.AI

System Properties Comparison 4D vs. Adabas vs. Amazon Neptune vs. Amazon SimpleDB vs. HEAVY.AI

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAdabas infodenotes "adaptable data base"  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformFast, reliable graph database built for the cloudHosted 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 hardware
Primary database modelRelational DBMSMultivalue DBMSGraph DBMS
RDF store
Key-value storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score1.85
Rank#138  Overall
#24  Key-value stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Websitewww.4d.comwww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlaws.amazon.com/­neptuneaws.amazon.com/­simpledbgithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdeveloper.4d.comaws.amazon.com/­neptune/­developer-resourcesdocs.aws.amazon.com/­simpledbdocs.heavy.ai
Developer4D, IncSoftware AGAmazonAmazonHEAVY.AI, Inc.
Initial release19841971201720072016
Current releasev20, April 20235.10, January 2022
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDA
Server operating systemsOS X
Windows
BS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedhostedLinux
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.yesnonono
Secondary indexesyesyesnoyes infoAll columns are indexed automaticallyno
SQL infoSupport of SQLyes infoclose to SQL 92yes infowith add-on product Adabas SQL Gatewaynonoyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
HTTP 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
RESTful HTTP APIJDBC
ODBC
Thrift
Vega
Supported programming languages4D proprietary IDE
PHP
NaturalC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyesin Naturalnonono
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesnoneyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistanonenone infoSharding must be implemented in the applicationSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, 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.yesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno infoConcurrent data updates can be detected by the applicationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith encyption-at-restyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlUsers and groupsonly 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)Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
4D infoformer name: 4th DimensionAdabas infodenotes "adaptable data base"Amazon NeptuneAmazon SimpleDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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