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DBMS > Amazon Redshift vs. Milvus

System Properties Comparison Amazon Redshift vs. Milvus

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Our visitors often compare Amazon Redshift and Milvus with PostgreSQL, Elasticsearch and OpenSearch.

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.15
Rank#37  Overall
#23  Relational DBMS
Score2.90
Rank#87  Overall
#7  Vector DBMS
Websiteaws.amazon.com/­redshiftmilvus.io
Technical documentationdocs.aws.amazon.com/­redshiftmilvus.io/­docs/­overview.md
DeveloperAmazon (based on PostgreSQL)
Initial release20122019
Current release2.4.4, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++, Go
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyes
Typing infopredefined data types such as float or dateyesVector, Numeric and String
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 indexesrestrictedno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based access control and fine grained access rights

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More resources
Amazon RedshiftMilvus
DB-Engines blog posts

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Recent citations in the news

Integrate ThoughtSpot with Amazon Redshift using AWS IAM Identity Center
10 April 2025, Amazon Web Services

Enhance Agentforce data security with Private Connect for Salesforce Data Cloud and Amazon Redshift – Part 3
7 April 2025, Amazon Web Services

Amazon Redshift enhances security by changing default behavior in 2025
30 January 2025, Amazon Web Services

Recap of Amazon Redshift key product announcements in 2024
17 December 2024, Amazon Web Services

Using Amazon S3 Tables with Amazon Redshift to query Apache Iceberg tables | Amazon Web Services
24 March 2025, Amazon Web Services

provided by Google News

What Is Milvus? A Distributed Vector Database
3 March 2025, Oracle

Milvus 2.5 Creates the Best of Both Worlds With Hybrid Vector-Keyword Search
17 December 2024, GlobeNewswire

AI-Powered Search Engine With Milvus Vector Database on Vultr
7 November 2024, SitePoint

Hands-On Vector Similarity Search with Milvus
20 October 2024, Packt

Dance between dense and sparse embeddings: Enabling Hybrid Search in LangChain-Milvus
19 November 2024, Towards Data Science

provided by Google News



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