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DBMS > Milvus vs. Trino vs. Weaviate

System Properties Comparison Milvus vs. Trino vs. Weaviate

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonTrino  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelVector DBMSRelational DBMSVector DBMS
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitemilvus.iotrino.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationmilvus.io/­docs/­overview.mdtrino.io/­broadcast
trino.io/­docs/­current
weaviate.io/­developers/­weaviate
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperTrino Software FoundationWeaviate B.V.
Initial release20192012 info2020 rebranded from PrestoSQL2019
Current release2.3.4, January 20241.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infocommercial license available with Weaviate Enterprise
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 MilvusStarburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageC++, GoJavaGo
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
macOS infofor devlopment
Data schemeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateVector, Numeric and Stringyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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.nonono
Secondary indexesnodepending on connected data-sourceyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyesGraphQL is used as query language
APIs and other access methodsRESTful HTTP APIJDBC
RESTful HTTP API
Trino CLI
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyes, depending on connected data-sourceno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on connected data-sourceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on connected data-sourceyes
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
depending on connected data-sourceEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanodepending on connected data-sourceno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlRole based access control and fine grained access rightsSQL standard access controlAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
MilvusTrinoWeaviate
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
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Trino is the fastest open source, massively parallel processing SQL query engine...
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Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
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High performance analtyics and data processing of very large data sets Powerful ANSI...
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Flexible deployment - Free, open source or fully-managed cloud vector database service...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Performant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
As a database supporting the development of generative AI and semantic search applications...
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Trino is widely adopted across the globe as freely-available open source software....
» more
All companies that have data. ​
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
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33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
Trino is an open source project and usage is therefore free. Commercial offerings...
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more
News

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8 May 2024

59: Querying Trino with Java and jOOQ
24 April 2024

A sneak peek of Trino Fest 2024
15 April 2024

Time travel in Delta Lake connector
11 April 2024

58: Understanding your users with Trino and Mitzu
4 April 2024

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More resources
MilvusTrinoWeaviate
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Recent citations in the news

How NVIDIA GPU Acceleration Supercharged Milvus Vector Database
26 March 2024, The New Stack

Zilliz Unveils Game-Changing Features for Vector Search
22 March 2024, Datanami

Milvus 2.4 Unveils Game-Changing Features for Enhanced Vector Search
20 March 2024, GlobeNewswire

AI-Powered Search Engine With Milvus Vector Database on Vultr
31 January 2024, SitePoint

IBM watsonx.data’s integrated vector database: unify, prepare, and deliver your data for AI
9 April 2024, IBM

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The Perfect AI Storage: Trino From Facebook And Iceberg From Netflix?
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Starburst Brings Dataframes Into Trino Platform
7 September 2023, Datanami

Query big data with resilience using Trino in Amazon EMR with Amazon EC2 Spot Instances for less cost | Amazon ...
4 October 2023, AWS Blog

A look at Presto, Trino SQL query engines
9 August 2022, TechTarget

Trino: The Open-source Data Query Engine That Split from Facebook
30 March 2022, hackernoon.com

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Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector ...
24 January 2024, AWS Blog

Weaviate Partners with Snowflake to Bring Secure GenAI to Snowpark Container Services
8 February 2024, Datanami

Getting Started with Weaviate: A Beginner's Guide to Search with Vector Databases
18 July 2023, Towards Data Science

Weaviate Raises $50 Million Series B Funding to Meet Soaring Demand for AI Native Vector Database Technology ...
21 April 2023, PR Newswire

The 5 Best Vector Databases You Must Try in 2024
17 November 2023, KDnuggets

provided by Google News



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