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DBMS > Databricks vs. VoltDB vs. Weaviate

System Properties Comparison Databricks vs. VoltDB vs. Weaviate

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonVoltDB  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.Distributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memoryAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument store
Relational DBMS
Relational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.databricks.comwww.voltdb.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.databricks.comdocs.voltdb.comweaviate.io/­developers/­weaviate
DeveloperDatabricksVoltDB Inc.Weaviate B.V.
Initial release201320102019
Current release11.3, April 20221.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro EditionsOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++Go
Server operating systemshostedLinux
OS X infofor development
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes, 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.yesno
Secondary indexesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLwith Databricks SQLyes infoonly a subset of SQL 99GraphQL is used as query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
JDBC
RESTful HTTP/JSON API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesJavano
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infoFOREIGN KEY constraints are not supportedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoTransactions are executed single-threaded within stored proceduresno
Concurrency infoSupport for concurrent manipulation of datayesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyes infoSnapshots and command loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers and roles with access to stored proceduresAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
DatabricksVoltDBWeaviate
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,...
» 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...
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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...
» more

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DatabricksVoltDBWeaviate
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