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DBMS > Milvus vs. Quasardb vs. Teradata vs. Trafodion

System Properties Comparison Milvus vs. Quasardb vs. Teradata vs. Trafodion

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonQuasardb  Xexclude from comparisonTeradata  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesDistributed, high-performance timeseries databaseA hybrid cloud data analytics software platform (Teradata Vantage)Transactional SQL-on-Hadoop DBMS
Primary database modelVector DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitemilvus.ioquasar.aiwww.teradata.comtrafodion.apache.org
Technical documentationmilvus.io/­docs/­overview.mddoc.quasar.ai/­masterdocs.teradata.comtrafodion.apache.org/­documentation.html
DeveloperquasardbTeradataApache Software Foundation, originally developed by HP
Initial release2019200919842014
Current release2.4.4, May 20243.14.1, January 2024Teradata Vantage 1.0 MU2, January 20192.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialOpen Source infoApache 2.0
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++, GoC++C++, Java
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
BSD
Linux
OS X
Windows
hosted
Linux
Linux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateVector, Numeric and Stringyes infointeger and binaryyesyes
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 indexesnoyes infowith tagsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLnoSQL-like query languageyes infoSQL 2016 + extensionsyes
APIs and other access methodsRESTful HTTP APIHTTP API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonoyes infoUDFs, stored procedures, table functions in parallelJava Stored Procedures
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyesno
User concepts infoAccess controlRole based access control and fine grained access rightsCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
MilvusQuasardbTeradataTrafodion
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
MilvusQuasardbTeradataTrafodion
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