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DBMS > Citus vs. Milvus vs. PostGIS vs. TinkerGraph vs. YottaDB

System Properties Comparison Citus vs. Milvus vs. PostGIS vs. TinkerGraph vs. YottaDB

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonMilvus  Xexclude from comparisonPostGIS  Xexclude from comparisonTinkerGraph  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA DBMS designed for efficient storage of vector data and vector similarity searchesSpatial extension of PostgreSQLA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIA fast and solid embedded Key-value store
Primary database modelRelational DBMSVector DBMSSpatial DBMSGraph DBMSKey-value store
Secondary database modelsDocument storeRelational DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.citusdata.commilvus.iopostgis.nettinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinyottadb.com
Technical documentationdocs.citusdata.commilvus.io/­docs/­overview.mdpostgis.net/­documentationyottadb.com/­resources/­documentation
DeveloperYottaDB, LLC
Initial release20102019200520092001
Current release8.1, December 20182.3.4, January 20243.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2.0Open Source infoGPL v2.0Open Source infoApache 2.0Open Source infoAGPL 3.0
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 languageCC++, GoCJavaC
Server operating systemsLinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Docker
Linux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyesyesno
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.yes infospecific XML type available, but no XML query functionalitynoyesnono
Secondary indexesyesnoyesnono
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoyesnoby using the Octo plugin
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APITinkerPop 3PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Go
Java
JavaScript (Node.js)
Python
Groovy
Java
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nouser defined functionsno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infobased on PostgreSQLnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyes infobased on PostgreSQLnoneyes
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
Immediate Consistencynone
Foreign keys infoReferential integrityyesnoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based access control and fine grained access rightsyes infobased on PostgreSQLnoUsers and groups based on OS-security mechanisms
More information provided by the system vendor
CitusMilvusPostGISTinkerGraphYottaDB
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
CitusMilvusPostGISTinkerGraphYottaDB
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