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DBMS > Sphinx vs. WakandaDB vs. Weaviate vs. XTDB

System Properties Comparison Sphinx vs. WakandaDB vs. Weaviate vs. XTDB

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Editorial information provided by DB-Engines
NameSphinx  Xexclude from comparisonWakandaDB  Xexclude from comparisonWeaviate  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionOpen source search engine for searching in data from different sources, e.g. relational databasesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access dataAn AI-native realtime vector database engine that integrates scalable machine learning models.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelSearch engineObject oriented DBMSVector DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.98
Rank#56  Overall
#5  Search engines
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitesphinxsearch.comwakanda.github.iogithub.com/­weaviate/­weaviate
weaviate.io
github.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationsphinxsearch.com/­docswakanda.github.io/­docweaviate.io/­developers/­weaviatewww.xtdb.com/­docs
DeveloperSphinx Technologies Inc.Wakanda SASWeaviate B.V.Juxt Ltd.
Initial release2001201220192019
Current release3.5.1, February 20232.7.0 (April 29, 2019), April 20191.19, May 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPLv3, extended commercial license availableOpen Source infocommercial license available with Weaviate EnterpriseOpen Source infoMIT License
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++, JavaScriptGoClojure
Server operating systemsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyes, maps to GraphQL interfaceschema-free
Typing infopredefined data types such as float or datenoyesyes infostring, int, float, geo point, date, cross reference, fuzzy referencesyes, extensible-data-notation format
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 indexesyes infofull-text index on all search fieldsyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexedyes
SQL infoSupport of SQLSQL-like query language (SphinxQL)noGraphQL is used as query languagelimited SQL, making use of Apache Calcite
APIs and other access methodsProprietary protocolRESTful HTTP APIGraphQL query language
RESTful HTTP/JSON API
HTTP REST
JDBC
Supported programming languagesC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScriptJavaScript / TypeScript
Python
Clojure
Java
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportednoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Sphinx index.yesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoyesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
SphinxWakandaDBWeaviateXTDB infoformerly named Crux
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
SphinxWakandaDBWeaviateXTDB infoformerly named Crux
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