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DBMS > mSQL vs. Postgres-XL vs. Sphinx vs. Weaviate

System Properties Comparison mSQL vs. Postgres-XL vs. Sphinx vs. Weaviate

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Editorial information provided by DB-Engines
NamemSQL infoMini SQL  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSphinx  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionmSQL (Mini SQL) is a simple and lightweight RDBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen source search engine for searching in data from different sources, e.g. relational databasesAn open-source GraphQL-based Smart Graph with the core features: semantic search, automatic classification, and knowledge representation
Primary database modelRelational DBMSRelational DBMSSearch engineGraph DBMS
Secondary database modelsDocument storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#128  Overall
#64  Relational DBMS
Score0.48
Rank#211  Overall
#101  Relational DBMS
Score6.52
Rank#53  Overall
#5  Search engines
Score0.05
Rank#314  Overall
#31  Graph DBMS
Websitewww.hughes.com.au/­products/­msqlwww.postgres-xl.orgsphinxsearch.comgithub.com/­semi-technologies/­weaviate
www.semi.technology/­products/­weaviate.html
Technical documentationwww.postgres-xl.org/­documentationsphinxsearch.com/­docswww.semi.technology/­documentation/­weaviate/­current
DeveloperHughes TechnologiesSphinx Technologies Inc.SeMI Technologies B.V.
Initial release19942014 infosince 2012, originally named StormDB20012017
Current release4.2, April 201910 R1, October 20183.1.1, October 20180.21.5, December 2019
License infoCommercial or Open Sourcecommercial infofree licenses can be providedOpen Source infoMozilla public licenseOpen 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 languageCCC++Go
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
macOS
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.noyes infoXML type, but no XML query functionalityno
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, triggersyes infodistributed, parallel query executionSQL-like query language (SphinxQL)GraphQL is used as query language
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocolGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C++
Delphi
Java
Perl
PHP
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes
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 datanoACID infoMVCCnono
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.nonono
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoOpenID Connect Discovery

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mSQL infoMini SQLPostgres-XLSphinxWeaviate
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