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DBMS > Adabas vs. HEAVY.AI vs. OpenQM vs. RavenDB

System Properties Comparison Adabas vs. HEAVY.AI vs. OpenQM vs. RavenDB

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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 comparisonOpenQM infoalso called QM  Xexclude from comparisonRavenDB  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 hardwareQpenQM is a high-performance, self-tuning, multi-value DBMSOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelMultivalue DBMSRelational DBMSMultivalue DBMSDocument store
Secondary database modelsSpatial DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.77
Rank#79  Overall
#1  Multivalue DBMS
Score1.30
Rank#149  Overall
#72  Relational DBMS
Score0.20
Rank#286  Overall
#10  Multivalue DBMS
Score3.46
Rank#93  Overall
#16  Document stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlgithub.com/­heavyai/­heavydb
www.heavy.ai
www.openqm.comravendb.net
Technical documentationdocs.heavy.aiwww.openqm.com/­support/­documentationravendb.net/­docs
DeveloperSoftware AGHEAVY.AI, Inc.Martin PhillipsHibernating Rhinos
Initial release1971201619932010
Current release5.10, January 20223.4-125.3, November 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGPLv2, extended commercial license availableOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC#
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
LinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesyesyes infowith some exceptionsschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nonoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewayyesnoSQL-like query language (RQL)
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
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
Supported programming languagesNaturalAll languages supporting JDBC/ODBC/Thrift
Python
.Net
Basic
C
Java
Objective C
PHP
Python
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresin Naturalnoyesyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infoRound robinyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replicationyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoMapReduce functions can be defined in Linq
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)fine grained access rights according to SQL-standardAccess rights can be defined down to the item levelAccess control on document level using the Authorization Bundle
More information provided by the system vendor
Adabas infodenotes "adaptable data base"HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OpenQM infoalso called QMRavenDB
Specific characteristicsOptimizes memory and compute layers to deliver unprecedented performance. Natively...
» more
RavenDB is the pioneer NoSQL Document Database that is fully transactional (ACID)...
» more
Competitive advantagesOnly HEAVY.AI allows users to visually and interactively discover high-value patterns,...
» more
RavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...
» more
Typical application scenariosAdvanced analytics, geospatial and time-series analytics, accelerated data science,...
» more
IoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...
» more
Key customersToyota, Capgemini, Vodafone, Medicaid, Asos, Nomura, RMS Automotive, MSNBC, Pluralsight,...
» more
Market metrics2 million+ downloads 1000+ customers including Fortune 500 large enterprises
» more
Licensing and pricing modelsHEAVY.AI Free (Free Forever), Foundations ($2k/month), and Enterprise Licensure (Inquire...
» more
RavenDB is available on-premise and in the cloud. RavenDB Cloud is available on AWS...
» more

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Adabas infodenotes "adaptable data base"HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OpenQM infoalso called QMRavenDB
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