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DBMS > Coveo vs. IBM Cloudant vs. Milvus vs. OrigoDB vs. RDFox

System Properties Comparison Coveo vs. IBM Cloudant vs. Milvus vs. OrigoDB vs. RDFox

Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMilvus  Xexclude from comparisonOrigoDB  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentDatabase as a Service offering based on Apache CouchDBA DBMS designed for efficient storage of vector data and vector similarity searchesA fully ACID in-memory object graph databaseHigh performance knowledge graph and semantic reasoning engine
Primary database modelSearch engineDocument storeVector DBMSDocument store
Object oriented DBMS
Graph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score2.75
Rank#104  Overall
#19  Document stores
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitewww.coveo.comwww.ibm.com/­products/­cloudantmilvus.ioorigodb.comwww.oxfordsemantic.tech
Technical documentationdocs.coveo.comcloud.ibm.com/­docs/­Cloudantmilvus.io/­docs/­overview.mdorigodb.com/­docsdocs.oxfordsemantic.tech
DeveloperCoveoIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Robert Friberg et alOxford Semantic Technologies
Initial release2012201020192009 infounder the name LiveDB2017
Current release2.3.4, January 20246.0, Septermber 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
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#C++
Server operating systemshostedhostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Windows
Linux
macOS
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesnoVector, Numeric and StringUser defined using .NET types and collectionsyes
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 indexesyesyesnoyes
SQL infoSupport of SQLnonononono
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON APIRESTful HTTP API.NET Client API
HTTP API
LINQ
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC#
Java
JavaScript
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
.NetC
Java
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptnoyes
Triggersyesyesnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Source-replica replicationreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyesnonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoatomic operations within a document possiblenoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlgranular access controls, API key management, content filtersAccess rights for users can be defined per databaseRole based access control and fine grained access rightsRole based authorizationRoles, resources, and access types
More information provided by the system vendor
CoveoIBM CloudantMilvusOrigoDBRDFox
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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CoveoIBM CloudantMilvusOrigoDBRDFox
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