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DBMS > Cloudflare Workers KV vs. Google Cloud Datastore vs. Tibero vs. Trafodion

System Properties Comparison Cloudflare Workers KV vs. Google Cloud Datastore vs. Tibero vs. Trafodion

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonTibero  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.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA secure RDBMS, designed for easy portability from OracleTransactional SQL-on-Hadoop DBMS
Primary database modelKey-value storeDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score4.47
Rank#76  Overall
#12  Document stores
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvcloud.google.com/­datastoreus.tmaxsoft.com/­products/­tiberotrafodion.apache.org
Technical documentationdevelopers.cloudflare.com/­kv/­apicloud.google.com/­datastore/­docstechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.htmltrafodion.apache.org/­documentation.html
DeveloperCloudflareGoogleTmaxSoftApache Software Foundation, originally developed by HP
Initial release2018200820032014
Current release6, April 20152.3.0, 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 and AssemblerC++, Java
Server operating systemshostedhostedAIX
HP-UX
Linux
Solaris
Windows
Linux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyes, details hereyesyes
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.nonoyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)yesyes
APIs and other access methodsHTTP REST
Proprietary protocol
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
ADO.NET
JDBC
ODBC
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnousing Google App EnginePersistent Stored Procedure (PSM)Java Stored Procedures
TriggersnoCallbacks using the Google Apps Engineyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoby range, hash, list or compositeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using PaxosMulti-source replication
Source-replica replication
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID
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.nonono infoplanned for next versionno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard (SQL 92, SQL 99)fine grained access rights according to SQL-standard

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More resources
Cloudflare Workers KVGoogle Cloud DatastoreTiberoTrafodion
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