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DBMS > Databricks vs. OpenQM vs. SpatiaLite vs. Weaviate

System Properties Comparison Databricks vs. OpenQM vs. SpatiaLite vs. Weaviate

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonSpatiaLite  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.QpenQM is a high-performance, self-tuning, multi-value DBMSSpatial extension of SQLiteAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument store
Relational DBMS
Multivalue DBMSSpatial DBMSVector DBMS
Secondary database modelsRelational 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
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websitewww.databricks.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.gaia-gis.it/­fossil/­libspatialite/­indexgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.databricks.comwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlweaviate.io/­developers/­weaviate
DeveloperDatabricksRocket Software, originally Martin PhillipsAlessandro FurieriWeaviate B.V.
Initial release2013199320082019
Current release3.4-125.0.0, August 20201.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Go
Server operating systemshostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
server-less
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes infowith some exceptionsyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes 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.yesyesnono
Secondary indexesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLwith Databricks SQLnoyesGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesnono
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesyesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
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 controlAccess rights can be defined down to the item levelnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
DatabricksOpenQM infoalso called QMSpatiaLiteWeaviate
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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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...
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More resources
DatabricksOpenQM infoalso called QMSpatiaLiteWeaviate
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