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DBMS > Riak TS vs. Sphinx vs. STSdb vs. Weaviate

System Properties Comparison Riak TS vs. Sphinx vs. STSdb vs. Weaviate

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Editorial information provided by DB-Engines
NameRiak TS  Xexclude from comparisonSphinx  Xexclude from comparisonSTSdb  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVOpen source search engine for searching in data from different sources, e.g. relational databasesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelTime Series DBMSSearch engineKey-value storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#318  Overall
#27  Time Series DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score0.03
Rank#365  Overall
#54  Key-value stores
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websitesphinxsearch.comgithub.com/­STSSoft/­STSdb4github.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.tiot.jp/­riak-docs/­riak/­ts/­latestsphinxsearch.com/­docsweaviate.io/­developers/­weaviate
DeveloperOpen Source, formerly Basho TechnologiesSphinx Technologies Inc.STS Soft SCWeaviate B.V.
Initial release2015200120112019
Current release3.0.0, September 20223.5.1, February 20234.0.8, September 20151.19, May 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPLv2, commercial license availableOpen 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 languageErlangC++C#Go
Server operating systemsLinux
OS X
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Windows
Data schemeschema-freeyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenonoyes infoprimitive types and user defined types (classes)yes 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 indexesrestrictedyes infofull-text index on all search fieldsnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyes, limitedSQL-like query language (SphinxQL)noGraphQL is used as query language
APIs and other access methodsHTTP API
Native Erlang Interface
Proprietary protocol.NET Client APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresErlangnonono
Triggersyes infopre-commit hooks and post-commit hooksnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infolinks between datasets can be storednonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
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.yes
User concepts infoAccess controlnononoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Riak TSSphinxSTSdbWeaviate
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
Riak TSSphinxSTSdbWeaviate
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