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DBMS > Cloudflare Workers KV vs. EXASOL vs. Geode vs. Spark SQL

System Properties Comparison Cloudflare Workers KV vs. EXASOL vs. Geode vs. Spark SQL

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonEXASOL  Xexclude from comparisonGeode  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.exasol.comgeode.apache.orgspark.apache.org/­sql
Technical documentationdevelopers.cloudflare.com/­kv/­apiwww.exasol.com/­resourcesgeode.apache.org/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCloudflareExasolOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Apache Software Foundation
Initial release2018200020022014
Current release1.1, February 20173.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScala
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes
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
Secondary indexesnoyesnono
SQL infoSupport of SQLnoyesSQL-like query language (OQL)SQL-like DML and DDL statements
APIs and other access methodsHTTP REST
Proprietary protocol
.Net
JDBC
ODBC
WebSocket
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Java
Lua
Python
R
.Net
All JVM based languages
C++
Groovy
Java
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsno
Triggersnoyesyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights per client and object definableno

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More resources
Cloudflare Workers KVEXASOLGeodeSpark SQL
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