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DBMS > Adabas vs. HEAVY.AI vs. Hive vs. Lovefield vs. MaxDB

System Properties Comparison Adabas vs. HEAVY.AI vs. Hive vs. Lovefield vs. MaxDB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHive  Xexclude from comparisonLovefield  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwaredata warehouse software for querying and managing large distributed datasets, built on HadoopEmbeddable relational database for web apps written in pure JavaScriptA robust and reliable RDBMS optimized to run all major SAP solutions
Primary database modelMultivalue DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score2.26
Rank#114  Overall
#55  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlgithub.com/­heavyai/­heavydb
www.heavy.ai
hive.apache.orggoogle.github.io/­lovefieldmaxdb.sap.com
Technical documentationdocs.heavy.aicwiki.apache.org/­confluence/­display/­Hive/­Homegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdmaxdb.sap.com/­documentation
DeveloperSoftware AGHEAVY.AI, Inc.Apache Software Foundation infoinitially developed by FacebookGoogleSAP, acquired from Software AG (Adabas-D) in 1997
Initial release19712016201220141984
Current release5.10, January 20223.1.3, April 20222.1.12, February 20177.9.10.12, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2Open Source infoApache 2.0commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAJavaJavaScriptC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
LinuxAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewayyesSQL-like DML and DDL statementsSQL-like query language infovia JavaScript builder patternyes
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
Thrift
Vega
JDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
WebDAV
Supported programming languagesNaturalAll languages supporting JDBC/ODBC/Thrift
Python
C++
Java
PHP
Python
JavaScript.Net
C#
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresin Naturalnoyes infouser defined functions and integration of map-reducenoyes
TriggersnononoUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infoRound robinShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replicationselectable replication factornoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 MemoryDBno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)fine grained access rights according to SQL-standardAccess rights for users, groups and rolesnofine grained access rights according to SQL-standard

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More resources
Adabas infodenotes "adaptable data base"HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HiveLovefieldMaxDB infoformerly named Adabas-D
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