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DBMS > Adabas vs. Databricks vs. HEAVY.AI vs. Realm

System Properties Comparison Adabas vs. Databricks vs. HEAVY.AI vs. Realm

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDatabricks  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelMultivalue DBMSDocument store
Relational DBMS
Relational DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.databricks.comgithub.com/­heavyai/­heavydb
www.heavy.ai
realm.io
Technical documentationdocs.databricks.comdocs.heavy.airealm.io/­docs
DeveloperSoftware AGDatabricksHEAVY.AI, Inc.Realm, acquired by MongoDB in May 2019
Initial release1971201320162014
Current release5.10, January 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDA
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedLinuxAndroid
Backend: server-less
iOS
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyesnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaywith Databricks SQLyesno
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
Supported programming languagesNaturalPython
R
Scala
All languages supporting JDBC/ODBC/Thrift
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresin Naturaluser defined functions and aggregatesnono inforuns within the applications so server-side scripts are unnecessary
Triggersnonoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatoryesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infoIn-Memory realm
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)fine grained access rights according to SQL-standardyes
More information provided by the system vendor
Adabas infodenotes "adaptable data base"DatabricksHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Realm
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Adabas infodenotes "adaptable data base"DatabricksHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Realm
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