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DBMS > Coveo vs. GeoMesa vs. Milvus vs. NSDb vs. WakandaDB

System Properties Comparison Coveo vs. GeoMesa vs. Milvus vs. NSDb vs. WakandaDB

Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonGeoMesa  Xexclude from comparisonMilvus  Xexclude from comparisonNSDb  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A DBMS designed for efficient storage of vector data and vector similarity searchesScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelSearch engineSpatial DBMSVector DBMSTime Series DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#114  Overall
#11  Search engines
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.coveo.comwww.geomesa.orgmilvus.ionsdb.iowakanda.github.io
Technical documentationdocs.coveo.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlmilvus.io/­docs/­overview.mdnsdb.io/­Architecturewakanda.github.io/­doc
DeveloperCoveoCCRi and othersWakanda SAS
Initial release20122014201920172012
Current release4.0.5, February 20242.3.4, January 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
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 languageScalaC++, GoJava, ScalaC++, JavaScript
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
macOS
Linux
OS X
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringyes: int, bigint, decimal, stringyes
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.nonononono
Secondary indexesyesyesnoall fields are automatically indexed
SQL infoSupport of SQLnononoSQL-like query languageno
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIgRPC
HTTP REST
WebSocket
RESTful HTTP API
Supported programming languagesC#
Java
JavaScript
Python
C++
Go
Java
JavaScript (Node.js)
Python
Java
Scala
JavaScript
Server-side scripts infoStored proceduresnonononoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesyesdepending on storage layerShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesno
User concepts infoAccess controlgranular access controls, API key management, content filtersyes infodepending on the DBMS used for storageRole based access control and fine grained access rightsyes
More information provided by the system vendor
CoveoGeoMesaMilvusNSDbWakandaDB
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
CoveoGeoMesaMilvusNSDbWakandaDB
DB-Engines blog posts

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