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DBMS > Databricks vs. IBM Db2 warehouse vs. Microsoft Azure SQL Database vs. Weaviate

System Properties Comparison Databricks vs. IBM Db2 warehouse vs. Microsoft Azure SQL Database vs. Weaviate

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Cloud-based data warehousing serviceDatabase as a Service offering with high compatibility to Microsoft SQL ServerAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSVector DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score1.52
Rank#153  Overall
#6  Vector DBMS
Websitewww.databricks.comwww.ibm.com/­products/­db2/­warehouseazure.microsoft.com/­en-us/­products/­azure-sql/­databasegithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.databricks.comdocs.microsoft.com/­en-us/­azure/­azure-sqlweaviate.io/­developers/­weaviate
DeveloperDatabricksIBMMicrosoftWeaviate B.V.
Initial release2013201420102019
Current releaseV121.19, May 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Go
Server operating systemshostedhostedhosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes 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.yesno infoImport/export of XML data possibleyesno
Secondary indexesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLwith Databricks SQLyesyesGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesPL/SQL, SQL PLTransact SQLno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes, with always 3 replicas availableyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
DatabricksIBM Db2 warehouse infoformerly named IBM dashDBMicrosoft Azure SQL Database infoformerly SQL AzureWeaviate
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
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Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
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Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
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Key customersAll companies that have data. ​
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Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
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Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
DatabricksIBM Db2 warehouse infoformerly named IBM dashDBMicrosoft Azure SQL Database infoformerly SQL AzureWeaviate
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