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DBMS > Databricks vs. OpenEdge vs. Prometheus vs. Weaviate

System Properties Comparison Databricks vs. OpenEdge vs. Prometheus vs. Weaviate

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonOpenEdge  Xexclude from comparisonPrometheus  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.Application development environment with integrated database management systemOpen-source Time Series DBMS and monitoring systemAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSVector 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
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websitewww.databricks.comwww.progress.com/­openedgeprometheus.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.databricks.comdocumentation.progress.com/­output/­ua/­OpenEdge_latestprometheus.io/­docsweaviate.io/­developers/­weaviate
DeveloperDatabricksProgress Software CorporationWeaviate B.V.
Initial release2013198420152019
Current releaseOpenEdge 12.2, March 20201.19, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open 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 languageGoGo
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesNumeric data onlyyes 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.yesyesno infoImport of XML data possibleno
Secondary indexesyesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLwith Databricks SQLyes infoclose to SQL 92noGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP/JSON APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
Progress proprietary ABL (Advanced Business Language).Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infosince Version 11.4ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infoby Federationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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.nononoyes
User concepts infoAccess controlUsers and groupsnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
DatabricksOpenEdgePrometheusWeaviate
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...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
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DatabricksOpenEdgePrometheusWeaviate
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