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DBMS > Cloudflare Workers KV vs. GeoMesa vs. Ingres vs. Milvus

System Properties Comparison Cloudflare Workers KV vs. GeoMesa vs. Ingres vs. Milvus

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonGeoMesa  Xexclude from comparisonIngres  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Well established RDBMSA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelKey-value storeSpatial DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.geomesa.orgwww.actian.com/­databases/­ingresmilvus.io
Technical documentationdevelopers.cloudflare.com/­kv/­apiwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.actian.com/­ingresmilvus.io/­docs/­overview.md
DeveloperCloudflareCCRi and othersActian Corporation
Initial release201820141974 infooriginally developed at University Berkely in early 1970s2019
Current release4.0.5, February 202411.2, May 20222.3.4, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
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 languageScalaCC++, Go
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesVector, Numeric and String
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 infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnonoyesno
APIs and other access methodsHTTP REST
Proprietary protocol
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
RESTful HTTP API
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerhorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerIngres Replicator
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistencydepending on storage layerImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
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.nodepending on storage layernoyes
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardRole based access control and fine grained access rights
More information provided by the system vendor
Cloudflare Workers KVGeoMesaIngresMilvus
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
Cloudflare Workers KVGeoMesaIngresMilvus
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