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DBMS > Cloudflare Workers KV vs. Kinetica vs. LevelDB vs. Oracle Rdb vs. Trafodion

System Properties Comparison Cloudflare Workers KV vs. Kinetica vs. LevelDB vs. Oracle Rdb vs. Trafodion

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonKinetica  Xexclude from comparisonLevelDB  Xexclude from comparisonOracle Rdb  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.Fully vectorized database across both GPUs and CPUsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesTransactional SQL-on-Hadoop DBMS
Primary database modelKey-value storeRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score1.08
Rank#184  Overall
#85  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.kinetica.comgithub.com/­google/­leveldbwww.oracle.com/­database/­technologies/­related/­rdb.htmltrafodion.apache.org
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.kinetica.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmltrafodion.apache.org/­documentation.html
DeveloperCloudflareKineticaGoogleOracle, originally developed by Digital Equipment Corporation (DEC)Apache Software Foundation, originally developed by HP
Initial release20182012201119842014
Current release7.1, August 20211.23, February 20217.4.1.1, 20212.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDcommercialOpen Source infoApache 2.0
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++C++C++, Java
Server operating systemshostedLinuxIllumos
Linux
OS X
Windows
HP Open VMSLinux
Data schemeschema-freeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or datenoyesnoyesyes
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.nonononono
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyesyes
APIs and other access methodsHTTP REST
Proprietary protocol
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnouser defined functionsnoJava Stored Procedures
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMnono
User concepts infoAccess controlAccess rights for users and roles on table levelnofine grained access rights according to SQL-standard

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More resources
Cloudflare Workers KVKineticaLevelDBOracle RdbTrafodion
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