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DBMS > Cloudflare Workers KV vs. GeoMesa vs. HEAVY.AI

System Properties Comparison Cloudflare Workers KV vs. GeoMesa vs. HEAVY.AI

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonGeoMesa  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  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.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelKey-value storeSpatial DBMSRelational DBMS
Secondary database modelsSpatial 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
Score1.77
Rank#141  Overall
#65  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.geomesa.orggithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdevelopers.cloudflare.com/­kv/­apiwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.heavy.ai
DeveloperCloudflareCCRi and othersHEAVY.AI, Inc.
Initial release201820142016
Current release4.0.5, February 20245.10, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++ and CUDA
Server operating systemshostedLinux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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
Secondary indexesnoyesno
SQL infoSupport of SQLnonoyes
APIs and other access methodsHTTP REST
Proprietary protocol
JDBC
ODBC
Thrift
Vega
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistencydepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layeryes
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standard

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More resources
Cloudflare Workers KVGeoMesaHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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