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DBMS > Apache Kylin vs. Cloudflare Workers KV vs. EventStoreDB vs. GeoMesa

System Properties Comparison Apache Kylin vs. Cloudflare Workers KV vs. EventStoreDB vs. GeoMesa

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonEventStoreDB  Xexclude from comparisonGeoMesa  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Industrial-strength, open-source database solution built from the ground up for event sourcing.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.
Primary database modelRelational DBMSKey-value storeEvent StoreSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score0.39
Rank#274  Overall
#39  Key-value stores
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Websitekylin.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvwww.eventstore.comwww.geomesa.org
Technical documentationkylin.apache.org/­docsdevelopers.cloudflare.com/­kv/­apidevelopers.eventstore.comwww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperApache Software Foundation, originally contributed from eBay IncCloudflareEvent Store LimitedCCRi and others
Initial release2015201820122014
Current release3.1.0, July 202021.2, February 20215.0.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen SourceOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScala
Server operating systemsLinuxhostedLinux
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyesnoyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)nono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST
Proprietary protocol
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layer
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistencydepending on storage layer
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
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.nonodepending on storage layer
User concepts infoAccess controlyes infodepending on the DBMS used for storage

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More resources
Apache KylinCloudflare Workers KVEventStoreDBGeoMesa
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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