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

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

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonCoveo  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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.AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentData warehouse and analytics appliance part of IBM PureSystemsTransactional SQL-on-Hadoop DBMS
Primary database modelKey-value storeSearch engineRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score2.11
Rank#118  Overall
#11  Search engines
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.coveo.comwww.ibm.com/­products/­netezzatrafodion.apache.org
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.coveo.comtrafodion.apache.org/­documentation.html
DeveloperCloudflareCoveoIBMApache Software Foundation, originally developed by HP
Initial release2018201220002014
Current release2.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java
Server operating systemshostedhostedLinux infoincluded in applianceLinux
Data schemeschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes
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.nonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoyesyes
APIs and other access methodsHTTP REST
Proprietary protocol
RESTful HTTP APIJDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
Java
JavaScript
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonoyesJava Stored Procedures
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACID
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.nono
User concepts infoAccess controlgranular access controls, API key management, content filtersUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
Cloudflare Workers KVCoveoNetezza infoAlso called PureData System for Analytics by IBMTrafodion
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