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DBMS > 4D vs. Milvus vs. mSQL vs. Qdrant vs. Sphinx

System Properties Comparison 4D vs. Milvus vs. mSQL vs. Qdrant vs. Sphinx

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonMilvus  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonQdrant  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemA DBMS designed for efficient storage of vector data and vector similarity searchesmSQL (Mini SQL) is a simple and lightweight RDBMSA high-performance vector database with neural network or semantic-based matchingOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSVector DBMSRelational DBMSVector DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.4d.commilvus.iohughestech.com.au/­products/­msqlgithub.com/­qdrant/­qdrant
qdrant.tech
sphinxsearch.com
Technical documentationdeveloper.4d.commilvus.io/­docs/­overview.mdqdrant.tech/­documentationsphinxsearch.com/­docs
Developer4D, IncHughes TechnologiesQdrantSphinx Technologies Inc.
Initial release19842019199420212001
Current releasev20, April 20232.3.4, January 20244.4, October 20213.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infofree licenses can be providedOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++, GoCRustC++
Server operating systemsOS X
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Docker
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesVector, Numeric and StringyesNumbers, Strings, Geo, Booleanno
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.yesnonono
Secondary indexesyesnoyesyes infoKeywords, numberic ranges, geo, full-textyes infofull-text index on all search fields
SQL infoSupport of SQLyes infoclose to SQL 92noA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoSQL-like query language (SphinxQL)
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
RESTful HTTP APIJDBC
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Proprietary protocol
Supported programming languages4D proprietary IDE
PHP
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneCollection-level replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
noneEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlUsers and groupsRole based access control and fine grained access rightsnoKey-based authenticationno
More information provided by the system vendor
4D infoformer name: 4th DimensionMilvusmSQL infoMini SQLQdrantSphinx
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
4D infoformer name: 4th DimensionMilvusmSQL infoMini SQLQdrantSphinx
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