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DBMS > Adabas vs. BigchainDB vs. H2 vs. HEAVY.AI vs. Microsoft Azure Table Storage

System Properties Comparison Adabas vs. BigchainDB vs. H2 vs. HEAVY.AI vs. Microsoft Azure Table Storage

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonBigchainDB  Xexclude from comparisonH2  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelMultivalue DBMSDocument storeRelational DBMSRelational DBMSWide column store
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.bigchaindb.comwww.h2database.comgithub.com/­heavyai/­heavydb
www.heavy.ai
azure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.h2database.com/­html/­main.htmldocs.heavy.ai
DeveloperSoftware AGThomas MuellerHEAVY.AI, Inc.Microsoft
Initial release19712016200520162012
Current release2.2.220, July 20235.10, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJavaC++ and CUDA
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
LinuxAll OS with a Java VMLinuxhosted
Data schemeyesschema-freeyesyesschema-free
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.nonononono
Secondary indexesyesyesnono
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaynoyesyesno
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
CLI Client
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
Thrift
Vega
RESTful HTTP API
Supported programming languagesNaturalGo
Haskell
Java
JavaScript
Python
Ruby
JavaAll languages supporting JDBC/ODBC/Thrift
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresin NaturalJava Stored Procedures and User-Defined Functionsnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingnoneSharding infoRound robinSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatorselectable replication factorWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
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)yesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signatures

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More resources
Adabas infodenotes "adaptable data base"BigchainDBH2HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure Table Storage
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