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DBMS > RethinkDB vs. Spark SQL vs. Weaviate

System Properties Comparison RethinkDB vs. Spark SQL vs. Weaviate

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Editorial information provided by DB-Engines
NameRethinkDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionDBMS for the Web with a mechanism to push updated query results to applications in realtime.Spark SQL is a component on top of 'Spark Core' for structured data processingAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument storeRelational DBMSVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.74
Rank#105  Overall
#19  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websiterethinkdb.comspark.apache.org/­sqlgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationrethinkdb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlweaviate.io/­developers/­weaviate
DeveloperThe Linux Foundation infosince July 2017Apache Software FoundationWeaviate B.V.
Initial release200920142019
Current release2.4.1, August 20203.5.0 ( 2.13), September 20231.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ScalaGo
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyes infostring, binary, float, bool, date, geometryyesyes 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 indexesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoSQL-like DML and DDL statementsGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Java
Python
R
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnono
TriggersClient-side triggers through changefeedsnono
Partitioning methods infoMethods for storing different data on different nodesSharding inforange basedyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnono
Concurrency infoSupport for concurrent manipulation of datayes infoMVCC basedyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlyes infousers and table-level permissionsnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
RethinkDBSpark SQLWeaviate
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
RethinkDBSpark SQLWeaviate
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Recent citations in the news

How to Use RethinkDB with Node.js Applications — SitePoint
16 December 2015, SitePoint

Stripe acquires team behind NoSQL database startup RethinkDB
5 October 2016, VentureBeat

MongoDB: The Popular Database for IoT
15 August 2023, Open Source For You

RethinkDB is dead, and MongoDB isn't what killed it
24 January 2017, TechRepublic

Review: RethinkDB rethinks real-time Web apps
23 September 2015, InfoWorld

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1 April 2024, Simplilearn

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23 December 2023, Towards Data Science

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18 October 2023, AWS Blog

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24 January 2024, AWS Blog

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8 February 2024, Datanami

Weaviate Partners with Snowflake to Bring Secure GenAI to Snowpark Container Services
9 February 2024, AiThority

Foley Represents Cortical Ventures in $50M Series B Round for Weaviate
17 December 2023, Foley & Lardner LLP

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18 July 2023, Towards Data Science

provided by Google News



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