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DBMS > Cloudflare Workers KV vs. EsgynDB vs. HarperDB vs. HBase vs. Transbase

System Properties Comparison Cloudflare Workers KV vs. EsgynDB vs. HarperDB vs. HBase vs. Transbase

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonEsgynDB  Xexclude from comparisonHarperDB  Xexclude from comparisonHBase  Xexclude from comparisonTransbase  Xexclude from comparison
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 TrafodionUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Wide-column store based on Apache Hadoop and on concepts of BigTableA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelKey-value storeRelational DBMSDocument storeWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.esgyn.cnwww.harperdb.iohbase.apache.orgwww.transaction.de/­en/­products/­transbase.html
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.harperdb.io/­docshbase.apache.org/­book.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperCloudflareEsgynHarperDBApache Software Foundation infoApache top-level project, originally developed by PowersetTransaction Software GmbH
Initial release20182015201720081987
Current release3.1, August 20212.3.4, January 2021Transbase 8.3, 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree community edition availableOpen Source infoApache version 2commercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaNode.jsJavaC and C++
Server operating systemshostedLinuxLinux
OS X
Linux
Unix
Windows infousing Cygwin
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyesdynamic schemaschema-free, schema definition possibleyes
Typing infopredefined data types such as float or datenoyesyes infoJSON data typesoptions 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 indexesnoyesyesnoyes
SQL infoSupport of SQLnoyesSQL-like data manipulation statementsnoyes
APIs and other access methodsHTTP REST
Proprietary protocol
ADO.NET
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Java API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnoJava Stored ProceduresCustom Functions infosince release 3.1yes infoCoprocessors in Javayes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersyes infothe nodes on which a table resides can be definedMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic execution of specific operationsSingle row ACID (across millions of columns)yes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesAccess 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 KVEsgynDBHarperDBHBaseTransbase
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