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DBMS > atoti vs. Kyligence Enterprise vs. Sphinx vs. Weaviate

System Properties Comparison atoti vs. Kyligence Enterprise vs. Sphinx vs. Weaviate

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonSphinx  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A distributed analytics engine for big data, built on top of Apache KylinOpen source search engine for searching in data from different sources, e.g. relational databasesAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelObject oriented DBMSRelational DBMSSearch engineVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websiteatoti.iokyligence.io/­kyligence-enterprisesphinxsearch.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.atoti.iosphinxsearch.com/­docsweaviate.io/­developers/­weaviate
DeveloperActiveViamKyligence, Inc.Sphinx Technologies Inc.Weaviate B.V.
Initial release201620012019
Current release3.5.1, February 20231.19, May 2023
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoGPL version 2, commercial licence 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 languageJavaJavaC++Go
Server operating systemsLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesnoyes 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 SQLMultidimensional Expressions (MDX)ANSI SQL for queries (using Apache Calcite)SQL-like query language (SphinxQL)GraphQL is used as query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Proprietary protocolGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresPythonnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
atotiKyligence EnterpriseSphinxWeaviate
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
atotiKyligence EnterpriseSphinxWeaviate
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