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DBMS > Cloudflare Workers KV vs. EJDB vs. Google Cloud Bigtable vs. Tibero

System Properties Comparison Cloudflare Workers KV vs. EJDB vs. Google Cloud Bigtable vs. Tibero

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonEJDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Embeddable document-store database library with JSON representation of queries (in MongoDB style)Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A secure RDBMS, designed for easy portability from Oracle
Primary database modelKey-value storeDocument storeKey-value store
Wide column store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score0.27
Rank#297  Overall
#44  Document stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvgithub.com/­Softmotions/­ejdbcloud.google.com/­bigtableus.tmaxsoft.com/­products/­tibero
Technical documentationdevelopers.cloudflare.com/­kv/­apigithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdcloud.google.com/­bigtable/­docstechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperCloudflareSoftmotionsGoogleTmaxSoft
Initial release2018201220152003
Current release6, April 2015
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC and Assembler
Server operating systemshostedserver-lesshostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyes infostring, integer, double, bool, date, object_idnoyes
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.nonoyes
Secondary indexesnononoyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsHTTP REST
Proprietary protocol
in-process shared librarygRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnononoPersistent Stored Procedure (PSM)
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes
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 version
User concepts infoAccess controlnoAccess 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)

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More resources
Cloudflare Workers KVEJDBGoogle Cloud BigtableTibero
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