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DBMS > Cloudflare Workers KV vs. EsgynDB vs. Google Cloud Bigtable vs. HBase vs. Trafodion

System Properties Comparison Cloudflare Workers KV vs. EsgynDB vs. Google Cloud Bigtable vs. HBase vs. Trafodion

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHBase  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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Wide-column store based on Apache Hadoop and on concepts of BigTableTransactional SQL-on-Hadoop DBMS
Primary database modelKey-value storeRelational DBMSKey-value store
Wide column store
Wide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.esgyn.cncloud.google.com/­bigtablehbase.apache.orgtrafodion.apache.org
Technical documentationdevelopers.cloudflare.com/­kv/­apicloud.google.com/­bigtable/­docshbase.apache.org/­book.htmltrafodion.apache.org/­documentation.html
DeveloperCloudflareEsgynGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software Foundation, originally developed by HP
Initial release20182015201520082014
Current release2.3.4, January 20212.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaC++, Java
Server operating systemshostedLinuxhostedLinux
Unix
Windows infousing Cygwin
Linux
Data schemeschema-freeyesschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or datenoyesnooptions to bring your own types, AVROyes
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 indexesnoyesnonoyes
SQL infoSupport of SQLnoyesnonoyes
APIs and other access methodsHTTP REST
Proprietary protocol
ADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoJava Stored Proceduresnoyes infoCoprocessors in JavaJava Stored Procedures
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyesyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-row operationsSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standard

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More resources
Cloudflare Workers KVEsgynDBGoogle Cloud BigtableHBaseTrafodion
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