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DBMS > Datomic vs. Milvus vs. PostgreSQL vs. PouchDB vs. SurrealDB

System Properties Comparison Datomic vs. Milvus vs. PostgreSQL vs. PouchDB vs. SurrealDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonMilvus  Xexclude from comparisonPostgreSQL  Xexclude from comparisonPouchDB  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA DBMS designed for efficient storage of vector data and vector similarity searchesWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLJavaScript DBMS with an API inspired by CouchDBA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSVector DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Document storeDocument store
Graph DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitewww.datomic.commilvus.iowww.postgresql.orgpouchdb.comsurrealdb.com
Technical documentationdocs.datomic.commilvus.io/­docs/­overview.mdwww.postgresql.org/­docspouchdb.com/­guidessurrealdb.com/­docs
DeveloperCognitectPostgreSQL Global Development Group infowww.postgresql.org/­developerApache Software FoundationSurrealDB Ltd
Initial release201220191989 info1989: Postgres, 1996: PostgreSQL20122022
Current release1.0.7075, December 20232.4.4, May 202416.3, May 20247.1.1, June 2019v1.5.0, May 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2.0Open Source infoBSDOpen SourceOpen Source
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.
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Implementation languageJava, ClojureC++, GoCJavaScriptRust
Server operating systemsAll OS with a Java VMLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyesnoyes
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.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesnoyesyes infovia views
SQL infoSupport of SQLnonoyes infostandard with numerous extensionsnoSQL-like query language
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST infoonly for PouchDB Server
JavaScript API
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesClojure
Java
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScriptDeno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes infoTransaction Functionsnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.View functions in JavaScript
TriggersBy using transaction functionsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingpartitioning by range, list and (since PostgreSQL 11) by hashSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesnoyes
User concepts infoAccess controlnoRole based access control and fine grained access rightsfine grained access rights according to SQL-standardnoyes, based on authentication and database rules
More information provided by the system vendor
DatomicMilvusPostgreSQLPouchDBSurrealDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
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Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
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Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
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Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
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Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
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3rd partiesNavicat Monitor is a safe, simple and agentless remote server monitoring tool for PostgreSQL and many other database management systems.
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Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
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DatomicMilvusPostgreSQLPouchDBSurrealDB
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