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DBMS > RavenDB vs. Sphinx vs. SWC-DB vs. Weaviate

System Properties Comparison RavenDB vs. Sphinx vs. SWC-DB vs. Weaviate

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Editorial information provided by DB-Engines
NameRavenDB  Xexclude from comparisonSphinx  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseOpen source search engine for searching in data from different sources, e.g. relational databasesA high performance, scalable Wide Column DBMSAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument storeSearch engineWide column storeVector DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.92
Rank#101  Overall
#18  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Score0.01
Rank#376  Overall
#13  Wide column stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websiteravendb.netsphinxsearch.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
github.com/­weaviate/­weaviate
weaviate.io
Technical documentationravendb.net/­docssphinxsearch.com/­docsweaviate.io/­developers/­weaviate
DeveloperHibernating RhinosSphinx Technologies Inc.Alex KashirinWeaviate B.V.
Initial release2010200120202019
Current release5.4, July 20223.5.1, February 20230.5, April 20211.19, May 2023
License infoCommercial or Open SourceOpen Source infoAGPL version 3, commercial license availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C++C++Go
Server operating systemsLinux
macOS
Raspberry Pi
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenonoyes 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.nono
Secondary indexesyesyes infofull-text index on all search fieldsyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like query language (RQL)SQL-like query language (SphinxQL)SQL-like query languageGraphQL is used as query language
APIs and other access methods.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Proprietary protocolProprietary protocol
Thrift
GraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyesnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Cluster-wide transaction availablenono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAuthorization levels configured per client per databasenoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
RavenDBSphinxSWC-DB infoSuper Wide Column DatabaseWeaviate
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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More resources
RavenDBSphinxSWC-DB infoSuper Wide Column DatabaseWeaviate
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