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DBMS > Milvus vs. OpenMLDB vs. Qdrant vs. SurrealDB

System Properties Comparison Milvus vs. OpenMLDB vs. Qdrant vs. SurrealDB

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonOpenMLDB  Xexclude from comparisonQdrant  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesAn open-source machine learning database that provides a feature platform for training and inferenceA high-performance vector database with neural network or semantic-based matchingA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelVector DBMSTime Series DBMSVector DBMSDocument store
Graph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websitemilvus.ioopenmldb.aigithub.com/­qdrant/­qdrant
qdrant.tech
surrealdb.com
Technical documentationmilvus.io/­docs/­overview.mdopenmldb.ai/­docs/­zh/­mainqdrant.tech/­documentationsurrealdb.com/­docs
Developer4 Paradigm Inc.QdrantSurrealDB Ltd
Initial release2019202020212022
Current release2.3.4, January 20242024-2 February 2024v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoApache Version 2.0Open Source
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++, GoC++, Java, ScalaRustRust
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
LinuxDocker
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeFixed schemaschema-freeschema-free
Typing infopredefined data types such as float or dateVector, Numeric and StringyesNumbers, Strings, Geo, Booleanyes
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 indexesnoyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnoyesnoSQL-like query language
APIs and other access methodsRESTful HTTP APIJDBC
SQLAlchemy
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
C++
Go
Java
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationCollection-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
Immediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlRole based access control and fine grained access rightsfine grained access rights according to SQL-standardKey-based authenticationyes, based on authentication and database rules
More information provided by the system vendor
MilvusOpenMLDBQdrantSurrealDB
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
MilvusOpenMLDBQdrantSurrealDB
DB-Engines blog posts

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2 June 2023, Matthias Gelbmann

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