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DBMS > Adabas vs. Databend vs. MonetDB vs. Weaviate

System Properties Comparison Adabas vs. Databend vs. MonetDB vs. Weaviate

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDatabend  Xexclude from comparisonMonetDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA relational database management system that stores data in columnsAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelMultivalue DBMSRelational DBMSRelational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score1.52
Rank#153  Overall
#6  Vector DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlgithub.com/­datafuselabs/­databend
www.databend.com
www.monetdb.orggithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.databend.comwww.monetdb.org/­Documentationweaviate.io/­developers/­weaviate
DeveloperSoftware AGDatabend LabsMonetDB BVWeaviate B.V.
Initial release1971202120042019
Current release1.0.59, April 2023Dec2023 (11.49), December 20231.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoMozilla Public License 2.0Open Source infocommercial license available with Weaviate Enterprise
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 languageRustCGo
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hosted
Linux
macOS
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyes, 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.nonono
Secondary indexesyesnoyesyes 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 Gatewayyesyes infoSQL 2003 with some extensionsGraphQL 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
CLI Client
JDBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesNaturalGo
Java
JavaScript (Node.js)
Python
Rust
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresin Naturalnoyes, in SQL, C, Rno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistanoneSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatornonenone infoSource-replica replication available in experimental statusyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDno
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)Users with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Adabas infodenotes "adaptable data base"DatabendMonetDBWeaviate
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"DatabendMonetDBWeaviate
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