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DBMS > Milvus vs. Raima Database Manager vs. Trafodion

System Properties Comparison Milvus vs. Raima Database Manager vs. Trafodion

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  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 searchesRDBMS with a small footprint, either embedded into an application or used as a database serverTransactional SQL-on-Hadoop DBMS
Primary database modelVector DBMSRelational DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#144  Overall
#5  Vector DBMS
Score0.48
Rank#261  Overall
#122  Relational DBMS
#22  Time Series DBMS
Websitemilvus.ioraima.comtrafodion.apache.org
Technical documentationmilvus.io/­docs/­overview.mddocs.raima.comtrafodion.apache.org/­documentation.html
DeveloperRaima Inc.Apache Software Foundation, originally developed by HP
Initial release201919842014
Current release2.3.4, January 202415, June 20212.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++, GoCC++, Java
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Android
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Linux
Data schemeyesyes
Typing infopredefined data types such as float or dateVector, 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.nono infoExporting/Importing of XML structures possibleno
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyesyes
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Objective-C
PL/SQL
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationJava Stored Procedures
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes 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 Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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.yesyesno
User concepts infoAccess controlRole based access control and fine grained access rightsnofine grained access rights according to SQL-standard
More information provided by the system vendor
MilvusRaima Database Manager infoformerly named db_VistaTrafodion
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Raima Database Manager (RDM) is an embedded time-series database optimized to run...
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Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Decreased time-to-market Industry-standard interfaces & tools for making your job...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
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Typical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Infor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
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Over 30 000 applications developers worldwide have field-tested RDM products More...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
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Just as the technical aspects of Raima Database Manager are flexible, so are the...
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News

Raima Unveils RaimaDB 16.0: Elevating Database Performance and User Experience
29 February 2024

Raima Announces Release of Raima Database Manager (RDM) v15, a Powerful Embedded Time Series Database
10 June 2021

Raima Announces Release of Raima Database Manager (RDM) v14.2, a Powerful IoT Edge Embedded Database
8 October 2020

Raima Joins BlackBerry QNX Channel Partner Program to Deliver Safety-Critical and Secure Software Solutions
1 October 2020

Raima Expands Their Reseller Network in Asia
19 May 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources
MilvusRaima Database Manager infoformerly named db_VistaTrafodion
DB-Engines blog posts

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Recent citations in the news

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27 January 2014, Embedded

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HP Throws Trafodion Hat into OLTP Hadoop Ring
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Evaluating HTAP Databases for Machine Learning Applications
2 November 2016, KDnuggets

Low-latency, distributed database architectures are critical for emerging fog applications
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provided by Google News



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