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DBMS > mSQL vs. ObjectBox vs. Sphinx vs. Weaviate

System Properties Comparison mSQL vs. ObjectBox vs. Sphinx vs. Weaviate

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Editorial information provided by DB-Engines
NamemSQL infoMini SQL  Xexclude from comparisonObjectBox  Xexclude from comparisonSphinx  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionmSQL (Mini SQL) is a simple and lightweight RDBMSExtremely fast embedded database for small devices, IoT and MobileOpen 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 modelRelational DBMSObject oriented DBMSSearch engineVector DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.67
Rank#151  Overall
#70  Relational DBMS
Score1.22
Rank#172  Overall
#5  Object oriented DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Score1.89
Rank#138  Overall
#4  Vector DBMS
Websitehughestech.com.au/­products/­msqlobjectbox.iosphinxsearch.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.objectbox.iosphinxsearch.com/­docsweaviate.io/­developers/­weaviate
DeveloperHughes TechnologiesObjectBox LimitedSphinx Technologies Inc.Weaviate B.V.
Initial release1994201720012019
Current release4.4, October 20213.5.1, February 20231.19, May 2023
License infoCommercial or Open Sourcecommercial infofree licenses can be providedOpen Source infoApache License 2.0Open 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 languageCC and C++C++Go
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Android
iOS
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesnoyes 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 indexesyesyesyes 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 SQLA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoSQL-like query language (SphinxQL)GraphQL is used as query language
APIs and other access methodsJDBC
ODBC
Proprietary native APIProprietary protocolGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C++
Delphi
Java
Perl
PHP
Tcl
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneonline/offline synchronization between client and servernoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datanoyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.nonoyes
User concepts infoAccess controlnoyesnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
mSQL infoMini SQLObjectBoxSphinxWeaviate
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
mSQL infoMini SQLObjectBoxSphinxWeaviate
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