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DBMS > GridDB vs. Milvus vs. ObjectBox vs. Percona Server for MongoDB

System Properties Comparison GridDB vs. Milvus vs. ObjectBox vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonMilvus  Xexclude from comparisonObjectBox  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataA DBMS designed for efficient storage of vector data and vector similarity searchesExtremely fast embedded database for small devices, IoT and MobileA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelTime Series DBMSVector DBMSObject oriented DBMSDocument store
Secondary database modelsKey-value store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Websitegriddb.netmilvus.ioobjectbox.iowww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.griddb.netmilvus.io/­docs/­overview.mddocs.objectbox.iodocs.percona.com/­percona-distribution-for-mongodb
DeveloperToshiba CorporationObjectBox LimitedPercona
Initial release2013201920172015
Current release5.1, August 20222.3.4, January 20243.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache Version 2.0Open Source infoApache License 2.0Open Source infoGPL Version 2
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++C++, GoC and C++C++
Server operating systemsLinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Android
iOS
Linux
macOS
Windows
Linux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampVector, 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.nononono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)nonono
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
RESTful HTTP APIProprietary native APIproprietary protocol using JSON
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresnononoJavaScript
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationonline/offline synchronization between client and serverSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnoACIDno
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.yesyesnoyes infovia In-Memory Engine
User concepts infoAccess controlAccess rights for users can be defined per databaseRole based access control and fine grained access rightsyesAccess rights for users and roles
More information provided by the system vendor
GridDBMilvusObjectBoxPercona Server for MongoDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Highly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
RAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Milvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsGitHub trending repository
» more
As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
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