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DBMS > Cloudflare Workers KV vs. Geode vs. Kinetica vs. Microsoft Azure SQL Database vs. TerarkDB

System Properties Comparison Cloudflare Workers KV vs. Geode vs. Kinetica vs. Microsoft Azure SQL Database vs. TerarkDB

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonGeode  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesFully vectorized database across both GPUs and CPUsDatabase as a Service offering with high compatibility to Microsoft SQL ServerA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelKey-value storeKey-value storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#278  Overall
#39  Key-value stores
Score1.99
Rank#133  Overall
#23  Key-value stores
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score78.40
Rank#15  Overall
#10  Relational DBMS
Score0.04
Rank#377  Overall
#58  Key-value stores
Websitewww.cloudflare.com/­developer-platform/­workers-kvgeode.apache.orgwww.kinetica.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasegithub.com/­bytedance/­terarkdb
Technical documentationdevelopers.cloudflare.com/­kv/­apigeode.apache.org/­docsdocs.kinetica.comdocs.microsoft.com/­en-us/­azure/­azure-sqlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperCloudflareOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.KineticaMicrosoftByteDance, originally Terark
Initial release20182002201220102016
Current release1.1, February 20177.1, August 2021V12
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++C++C++
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also requiredLinuxhosted
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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.nononoyesno
Secondary indexesnonoyesyesno
SQL infoSupport of SQLnoSQL-like query language (OQL)SQL-like DML and DDL statementsyesno
APIs and other access methodsHTTP REST
Proprietary protocol
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
C++ API
Java API
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsTransact SQLno
Triggersnoyes infoCache Event Listenersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationSource-replica replicationyes, with always 3 replicas availablenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodenoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights per client and object definableAccess rights for users and roles on table levelfine grained access rights according to SQL-standardno

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More resources
Cloudflare Workers KVGeodeKineticaMicrosoft Azure SQL Database infoformerly SQL AzureTerarkDB
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