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DBMS > EsgynDB vs. Milvus vs. Percona Server for MySQL vs. Weaviate

System Properties Comparison EsgynDB vs. Milvus vs. Percona Server for MySQL vs. Weaviate

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonMilvus  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA DBMS designed for efficient storage of vector data and vector similarity searchesEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSVector DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score2.03
Rank#122  Overall
#57  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.esgyn.cnmilvus.iowww.percona.com/­software/­mysql-database/­percona-servergithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationmilvus.io/­docs/­overview.mdwww.percona.com/­downloads/­Percona-Server-LATESTweaviate.io/­developers/­weaviate
DeveloperEsgynPerconaWeaviate B.V.
Initial release2015201920082019
Current release2.3.4, January 20248.0.36-28, 20241.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL version 2Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
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++, JavaC++, GoC and C++Go
Server operating systemsLinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Data schemeyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesVector, 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.nonoyesno
Secondary indexesyesnoyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesnoyesGraphQL is used as query language
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC++
Go
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresJava Stored Proceduresnoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersMulti-source replication
Source-replica replication
XtraDB Cluster
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based access control and fine grained access rightsUsers with fine-grained authorization concept infono user groups or rolesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
EsgynDBMilvusPercona Server for MySQLWeaviate
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
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...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» 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
All companies that have data. ​
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» 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
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
EsgynDBMilvusPercona Server for MySQLWeaviate
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