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DBMS > Blueflood vs. Milvus vs. Weaviate

System Properties Comparison Blueflood vs. Milvus vs. Weaviate

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonMilvus  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraA DBMS designed for efficient storage of vector data and vector similarity searchesA cloud-native, realtime vector search engine integrating scalable machine learning models
Primary database modelTime Series DBMSSearch engineSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#362  Overall
#33  Time Series DBMS
Score0.46
Rank#250  Overall
#17  Search engines
Score0.16
Rank#300  Overall
#20  Search engines
Websiteblueflood.iomilvus.iogithub.com/­semi-technologies/­weaviate
weaviate.io
Technical documentationgithub.com/­rackerlabs/­blueflood/­wikimilvus.io/­docs/­overview.mdweaviate.io/­developers/­weaviate/­current
DeveloperRackspaceSeMI Technologies B.V.
Initial release201320192017
Current release2.0, January 20221.0.3, January 2021
License infoCommercial or Open SourceOpen Source infoApache 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.
Implementation languageJavaC++, GoGo
Server operating systemsLinux
OS X
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemepredefined schemeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesNumeric and Stringyes 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 indexesnonoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnonoGraphQL is used as query language
APIs and other access methodsHTTP RESTRESTful HTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnonoOpenID Connect Discovery
More information provided by the system vendor
BluefloodMilvusWeaviate
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 scenariosVideo media : video understanding, video deduplication. E-commerce and mobile applications...
» more
As a stand-alone vector search engine, or use one of the many modules (transformers,...
» more
Key customersMilvus is trusted by over 1,000 enterprises, including Baidu, eBay, IKEA, LINE, Shopee,...
» more
A ll companies that have data. ​
» more
Market metricsAs of March 2022, 9.8k+ GitHub stars 1.4k+ Github forks 871k+ docker pulls 2k+ community...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Managed...
» more
Weaviate is open-source, and free to use. We also offer Fully managed Weaviate on...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BluefloodMilvusWeaviate
DB-Engines blog posts

Weaviate, an ANN Database with CRUD support
2 February 2021,  Etienne Dilocker, SeMI Technologies (sponsor) 

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Recent citations in the news

Zilliz Pioneers Vector Database R&D, Shares New Findings at VLDB 2022
19 September 2022, insideBIGDATA

Zilliz raises $60M for open source Milvus vector database
24 August 2022, TechTarget

Zilliz Announces Key Contributions to Milvus 2.1, the Leading Open-Source Vector Database for Structured and Unstructured Data
3 August 2022, businesswire.com

Pinecone Announces New Features to Lower the Barrier of Entry for Vector Search
17 August 2022, insideBIGDATA

Database technology evolves to combine machine learning and data storage
7 March 2022, VentureBeat

provided by Google News

SeMI Technologies introduces an all-new business model for vector search
1 September 2022, PR Newswire UK

Amsterdam-based startup SeMI Technologies raises €14.1M for its open-source vector search engine Weaviate
23 February 2022, Silicon Canals

SeMI Technologies’ search engine opens up new ways to query your data
22 February 2022, TechCrunch

Getting Started with the Weaviate Vector Search Engine
18 May 2020, hackernoon.com

Weaviate Is A Search Engine For Vector Embeddings
11 May 2020, hackernoon.com

provided by Google News

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