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DBMS > Milvus vs. Sequoiadb vs. SQream DB vs. Trafodion

System Properties Comparison Milvus vs. Sequoiadb vs. SQream DB vs. Trafodion

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonSequoiadb  Xexclude from comparisonSQream DB  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 searchesNewSQL database with distributed OLTP and SQLa GPU-based, columnar RDBMS for big data analytics workloadsTransactional SQL-on-Hadoop DBMS
Primary database modelVector DBMSDocument store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.01
Rank#89  Overall
#4  Vector DBMS
Score0.42
Rank#263  Overall
#41  Document stores
#121  Relational DBMS
Score0.62
Rank#234  Overall
#109  Relational DBMS
Websitemilvus.iowww.sequoiadb.comsqream.comtrafodion.apache.org
Technical documentationmilvus.io/­docs/­overview.mdwww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.sqream.comtrafodion.apache.org/­documentation.html
DeveloperSequoiadb Ltd.SQream TechnologiesApache Software Foundation, originally developed by HP
Initial release2019201320172014
Current release2.4.4, May 20242022.1.6, December 20222.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoServer: AGPL; Client: Apache V2commercialOpen 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++, CUDA, Haskell, Java, ScalaC++, Java
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
LinuxLinuxLinux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateVector, Numeric and Stringyes infooid, date, timestamp, binary, regexyes, ANSI Standard SQL Typesyes
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 indexesnoyesnoyes
SQL infoSupport of SQLnoSQL-like query languageyesyes
APIs and other access methodsRESTful HTTP APIproprietary protocol using JSON.Net
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Java
PHP
Python
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoJavaScriptuser defined functions in PythonJava Stored Procedures
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes 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
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoDocument is locked during a transactionACIDACID
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.yesnono
User concepts infoAccess controlRole based access control and fine grained access rightssimple password-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
MilvusSequoiadbSQream DBTrafodion
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...
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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
MilvusSequoiadbSQream DBTrafodion
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Recent citations in the news

AI-Powered Search Engine With Milvus Vector Database on Vultr - SitePoint
30 August 2024, SitePoint

How NVIDIA GPU Acceleration Supercharged Milvus Vector Database
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IBM watsonx.data’s integrated vector database: unify, prepare, and deliver your data for AI
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10 top vector database options for similarity searches
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Milvus 2.4 Unveils Game-Changing Features for Enhanced Vector Search
20 March 2024, GlobeNewswire

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24 June 2020, SiliconANGLE News

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24 June 2020, VentureBeat

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5 September 2019, PR Newswire

Accelerated Databases In The Fast Lane
25 June 2020, The Next Platform

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