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DBMS > Cloudflare Workers KV vs. Greenplum vs. GridDB vs. Oracle Rdb vs. TerarkDB

System Properties Comparison Cloudflare Workers KV vs. Greenplum vs. GridDB vs. Oracle Rdb vs. TerarkDB

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonGreenplum  Xexclude from comparisonGridDB  Xexclude from comparisonOracle Rdb  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.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Scalable in-memory time series database optimized for IoT and Big DataA 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 storeRelational DBMSTime Series DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitewww.cloudflare.com/­developer-platform/­workers-kvgreenplum.orggriddb.netwww.oracle.com/­database/­technologies/­related/­rdb.htmlgithub.com/­bytedance/­terarkdb
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.greenplum.orgdocs.griddb.netwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperCloudflarePivotal Software Inc.Toshiba CorporationOracle, originally developed by Digital Equipment Corporation (DEC)ByteDance, originally Terark
Initial release20182005201319842016
Current release7.0.0, September 20235.1, August 20227.4.1.1, 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemshostedLinuxLinuxHP Open VMS
Data schemeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or datenoyesyes infonumerical, string, blob, geometry, boolean, timestampyesno
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.noyes infosince Version 4.2nonono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoyesSQL92, SQL-like TQL (Toshiba Query Language)yesno
APIs and other access methodsHTTP REST
Proprietary protocol
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
C++ API
Java API
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
Java
Perl
Python
R
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at container levelyes, on a single nodeno
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.nonoyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per databaseno
More information provided by the system vendor
Cloudflare Workers KVGreenplumGridDBOracle RdbTerarkDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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Cloudflare Workers KVGreenplumGridDBOracle RdbTerarkDB
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