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DBMS > Milvus vs. ObjectBox vs. Raima Database Manager vs. Trafodion

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

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonObjectBox  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 searchesLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsRDBMS with a small footprint, either embedded into an application or used as a database serverTransactional SQL-on-Hadoop DBMS
Primary database modelVector DBMSObject oriented DBMS
Vector DBMS
Relational DBMS
Time Series DBMS
Relational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score0.49
Rank#259  Overall
#121  Relational DBMS
#21  Time Series DBMS
Websitemilvus.iogithub.com/­objectbox
objectbox.io
raima.comtrafodion.apache.org
Technical documentationmilvus.io/­docs/­overview.mddocs.objectbox.iodocs.raima.comtrafodion.apache.org/­documentation.html
DeveloperObjectBox LimitedRaima Inc.Apache Software Foundation, originally developed by HP
Initial release2019201719842014
Current release2.4.4, May 20244.0 (May 2024)15, June 20212.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Bindings are released under Apache 2.0 infoApache License 2.0commercialOpen 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 and C++CC++, Java
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Android
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateVector, Numeric and Stringyes, plus "flex" map-like typesyesyes
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 infoExporting/Importing of XML structures possibleno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoyesyes
APIs and other access methodsRESTful HTTP APIProprietary native APIADO.NET
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
.Net
C
C++
Objective-C
PL/SQL
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonoyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationJava Stored Procedures
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesData sync between devices allowing occasional connected databases to work completely offlineSource-replica replicationyes, 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
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.yesnoyesno
User concepts infoAccess controlRole based access control and fine grained access rightsyesnofine grained access rights according to SQL-standard
More information provided by the system vendor
MilvusObjectBoxRaima 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...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Decreased time-to-market Industry-standard interfaces & tools for making your job...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
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...
» more
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...
» more
Just as the technical aspects of Raima Database Manager are flexible, so are the...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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