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DBMS > Adabas vs. Alibaba Cloud Table Store vs. HEAVY.AI vs. Weaviate

System Properties Comparison Adabas vs. Alibaba Cloud Table Store vs. HEAVY.AI vs. Weaviate

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAlibaba Cloud Table Store  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelMultivalue DBMSWide column storeRelational DBMSVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.58
Rank#91  Overall
#1  Multivalue DBMS
Score0.24
Rank#310  Overall
#12  Wide column stores
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score1.89
Rank#138  Overall
#4  Vector DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.alibabacloud.com/­product/­table-storegithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.heavy.aiweaviate.io/­developers/­weaviate
DeveloperSoftware AGAlibabaHEAVY.AI, Inc.Weaviate B.V.
Initial release1971201620162019
Current release5.10, January 20221.19, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infocommercial license available with Weaviate Enterprise
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 CUDAGo
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedLinux
Data schemeyesschema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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 indexesyesnonoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoyesGraphQL is used as query language
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
HTTP APIJDBC
ODBC
Thrift
Vega
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesNaturalJava
Python
All languages supporting JDBC/ODBC/Thrift
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresin Naturalnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infoImplicit feature of the cloud serviceSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes infoImplicit feature of the cloud serviceMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 dataACIDAtomic single-row operationsnono
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.nonoyesyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access rights based on subaccounts and tokensfine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Adabas infodenotes "adaptable data base"Alibaba Cloud Table StoreHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Weaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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Adabas infodenotes "adaptable data base"Alibaba Cloud Table StoreHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Weaviate
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