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DBMS > Milvus vs. MonetDB vs. QuestDB vs. SurrealDB

System Properties Comparison Milvus vs. MonetDB vs. QuestDB vs. SurrealDB

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonMonetDB  Xexclude from comparisonQuestDB  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesA relational database management system that stores data in columnsA high performance open source SQL database for time series dataA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelVector DBMSRelational DBMSTime Series DBMSDocument store
Graph DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.01
Rank#89  Overall
#4  Vector DBMS
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Websitemilvus.iowww.monetdb.orgquestdb.iosurrealdb.com
Technical documentationmilvus.io/­docs/­overview.mdwww.monetdb.org/­Documentationquestdb.io/­docssurrealdb.com/­docs
DeveloperMonetDB BVQuestDB Technology IncSurrealDB Ltd
Initial release2019200420142022
Current release2.4.4, May 2024Dec2023 (11.49), December 2023v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMozilla Public License 2.0Open Source infoApache 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++, GoCJava (Zero-GC), C++, RustRust
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
FreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeyesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateVector, Numeric and Stringyesyesyes
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 indexesnoyesno
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsSQL with time-series extensionsSQL-like query language
APIs and other access methodsRESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnoyes, in SQL, C, Rno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tableshorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID for single-table writesACID
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.yesyes infothrough memory mapped files
User concepts infoAccess controlRole based access control and fine grained access rightsfine grained access rights according to SQL-standardyes, based on authentication and database rules
More information provided by the system vendor
MilvusMonetDBQuestDBSurrealDB
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
MilvusMonetDBQuestDBSurrealDB
DB-Engines blog posts

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