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DBMS > chDB vs. Milvus vs. MonetDB vs. Qdrant

System Properties Comparison chDB vs. Milvus vs. MonetDB vs. Qdrant

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Editorial information provided by DB-Engines
NamechDB  Xexclude from comparisonMilvus  Xexclude from comparisonMonetDB  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionAn embedded SQL OLAP Engine powered by ClickHouseA DBMS designed for efficient storage of vector data and vector similarity searchesA relational database management system that stores data in columnsA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSVector DBMSRelational DBMSVector DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websitegithub.com/­chdb-io/­chdbmilvus.iowww.monetdb.orggithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdoc.chdb.iomilvus.io/­docs/­overview.mdwww.monetdb.org/­Documentationqdrant.tech/­documentation
DeveloperMonetDB BVQdrant
Initial release2023201920042021
Current release2.3.4, January 2024Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoMozilla Public License 2.0Open Source infoApache Version 2.0
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++, GoCRust
Server operating systemsserver-lessLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
FreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateVector, Numeric and StringyesNumbers, Strings, Geo, Boolean
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 indexesnoyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)noyes infoSQL 2003 with some extensionsno
APIs and other access methodsRESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesBun
C
C++
Go
JavaScript (Node.js)
Python
Rust
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoyes, in SQL, C, R
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency, tunable consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlRole based access control and fine grained access rightsfine grained access rights according to SQL-standardKey-based authentication
More information provided by the system vendor
chDBMilvusMonetDBQdrant
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
chDBMilvusMonetDBQdrant
DB-Engines blog posts

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2 June 2023, Matthias Gelbmann

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