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DBMS > BigObject vs. CouchDB vs. Milvus vs. OrigoDB

System Properties Comparison BigObject vs. CouchDB vs. Milvus vs. OrigoDB

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonMilvus  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A DBMS designed for efficient storage of vector data and vector similarity searchesA fully ACID in-memory object graph database
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedDocument storeVector DBMSDocument store
Object oriented DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#329  Overall
#147  Relational DBMS
Score7.46
Rank#51  Overall
#7  Document stores
Score3.01
Rank#89  Overall
#4  Vector DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Websitebigobject.iocouchdb.apache.orgmilvus.ioorigodb.com
Technical documentationdocs.bigobject.iodocs.couchdb.org/­en/­stablemilvus.io/­docs/­overview.mdorigodb.com/­docs
DeveloperBigObject, Inc.Apache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerRobert Friberg et al
Initial release2015200520192009 infounder the name LiveDB
Current release3.3.3, December 20232.4.4, May 2024
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache version 2Open Source infoApache Version 2.0Open Source
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 languageErlangC++, GoC#
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Android
BSD
Linux
OS X
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoVector, Numeric and StringUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesyesyes infovia viewsnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonono
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIRESTful HTTP API.NET Client API
HTTP API
LINQ
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored proceduresLuaView functions in JavaScriptnoyes
Triggersnoyesnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoimproved architecture with release 2.0Shardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possiblenoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlnoAccess rights for users can be defined per databaseRole based access control and fine grained access rightsRole based authorization
More information provided by the system vendor
BigObjectCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"MilvusOrigoDB
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
BigObjectCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"MilvusOrigoDB
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