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DBMS > Milvus vs. Postgres-XL vs. VoltDB

System Properties Comparison Milvus vs. Postgres-XL vs. VoltDB

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonPostgres-XL  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelVector DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.12
Rank#89  Overall
#4  Vector DBMS
Score0.46
Rank#258  Overall
#120  Relational DBMS
Score1.45
Rank#151  Overall
#69  Relational DBMS
Websitemilvus.iowww.postgres-xl.orgwww.voltdb.com
Technical documentationmilvus.io/­docs/­overview.mdwww.postgres-xl.org/­documentationdocs.voltdb.com
DeveloperVoltDB Inc.
Initial release20192014 infosince 2012, originally named StormDB2010
Current release2.4.4, May 202410 R1, October 201811.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMozilla public licenseOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonono
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, C++
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
macOS
Linux
OS X infofor development
Data schemeyesyes
Typing infopredefined data types such as float or dateVector, Numeric and Stringyesyes
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.noyes infoXML type, but no XML query functionality
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes infodistributed, parallel query executionyes infoonly a subset of SQL 99
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsJava
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica 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 Consistency
Foreign keys infoReferential integritynoyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoMVCCACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlRole based access control and fine grained access rightsfine grained access rights according to SQL-standardUsers and roles with access to stored procedures
More information provided by the system vendor
MilvusPostgres-XLVoltDB
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
MilvusPostgres-XLVoltDB
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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How NVIDIA GPU Acceleration Supercharged Milvus Vector Database
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30 January 2014, Datanami

VoltDB Aims for Fast Big Data Development
29 January 2015, ADT Magazine

VoltDB Upgrades Power, Security of Its In-Memory Database
1 February 2017, eWeek

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