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DBMS > Cloudflare Workers KV vs. Netezza vs. openGemini vs. Trafodion

System Properties Comparison Cloudflare Workers KV vs. Netezza vs. openGemini vs. Trafodion

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonopenGemini  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Data warehouse and analytics appliance part of IBM PureSystemsAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityTransactional SQL-on-Hadoop DBMS
Primary database modelKey-value storeRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.ibm.com/­products/­netezzawww.opengemini.org
github.com/­openGemini
trafodion.apache.org
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.opengemini.org/­guidetrafodion.apache.org/­documentation.html
DeveloperCloudflareIBMHuawei and openGemini communityApache Software Foundation, originally developed by HP
Initial release2018200020222014
Current release1.1, July 20232.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open 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 languageGoC++, Java
Server operating systemshostedLinux infoincluded in applianceLinux
Windows
Linux
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesInteger, Float, Boolean, Stringyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnoyesSQL-like query languageyes
APIs and other access methodsHTTP REST
Proprietary protocol
JDBC
ODBC
OLE DB
HTTP RESTADO.NET
JDBC
ODBC
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyesnoJava Stored Procedures
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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.noyesno
User concepts infoAccess controlUsers with fine-grained authorization conceptAdministrators and common users accountsfine grained access rights according to SQL-standard

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More resources
Cloudflare Workers KVNetezza infoAlso called PureData System for Analytics by IBMopenGeminiTrafodion
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