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DBMS > Citus vs. Cloudflare Workers KV vs. Microsoft Azure Table Storage vs. Tkrzw vs. Transbase

System Properties Comparison Citus vs. Cloudflare Workers KV vs. Microsoft Azure Table Storage vs. Tkrzw vs. Transbase

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.A Wide Column Store for rapid development using massive semi-structured datasetsA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSKey-value storeWide column storeKey-value storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitewww.citusdata.comwww.cloudflare.com/­developer-platform/­workers-kvazure.microsoft.com/­en-us/­services/­storage/­tablesdbmx.net/­tkrzwwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.citusdata.comdevelopers.cloudflare.com/­kv/­apiwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperCloudflareMicrosoftMikio HirabayashiTransaction Software GmbH
Initial release20102018201220201987
Current release8.1, December 20180.9.3, August 2020Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialcommercialOpen Source infoApache Version 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C and C++
Server operating systemsLinuxhostedhostedLinux
macOS
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesnoyes
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.yes infospecific XML type available, but no XML query functionalitynononono
Secondary indexesyesnonoyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnononoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
Proprietary protocol
RESTful HTTP APIADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Python
Ruby
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nononoyes
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic lockingyes
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.nononoyes infousing specific database classesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesnofine grained access rights according to SQL-standard

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More resources
CitusCloudflare Workers KVMicrosoft Azure Table StorageTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetTransbase
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