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DBMS > EsgynDB vs. Milvus vs. Netezza vs. OpenMLDB

System Properties Comparison EsgynDB vs. Milvus vs. Netezza vs. OpenMLDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonMilvus  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA DBMS designed for efficient storage of vector data and vector similarity searchesData warehouse and analytics appliance part of IBM PureSystemsAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelRelational DBMSVector DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Websitewww.esgyn.cnmilvus.iowww.ibm.com/­products/­netezzaopenmldb.ai
Technical documentationmilvus.io/­docs/­overview.mdopenmldb.ai/­docs/­zh/­main
DeveloperEsgynIBM4 Paradigm Inc.
Initial release2015201920002020
Current release2.4.4, May 20242024-2 February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source
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++, Java, Scala
Server operating systemsLinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux infoincluded in applianceLinux
Data schemeyesyesFixed schema
Typing infopredefined data types such as float or dateyesVector, 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.nonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIJDBC
ODBC
OLE DB
JDBC
SQLAlchemy
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC++
Go
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresnoyesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based access control and fine grained access rightsUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard
More information provided by the system vendor
EsgynDBMilvusNetezza infoAlso called PureData System for Analytics by IBMOpenMLDB
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
EsgynDBMilvusNetezza infoAlso called PureData System for Analytics by IBMOpenMLDB
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