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DBMS > Apache Phoenix vs. Cloudflare Workers KV vs. Databend vs. mSQL vs. SQLite

System Properties Comparison Apache Phoenix vs. Cloudflare Workers KV vs. Databend vs. mSQL vs. SQLite

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonDatabend  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.An open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexitymSQL (Mini SQL) is a simple and lightweight RDBMSWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websitephoenix.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvgithub.com/­datafuselabs/­databend
www.databend.com
hughestech.com.au/­products/­msqlwww.sqlite.org
Technical documentationphoenix.apache.orgdevelopers.cloudflare.com/­kv/­apidocs.databend.comwww.sqlite.org/­docs.html
DeveloperApache Software FoundationCloudflareDatabend LabsHughes TechnologiesDwayne Richard Hipp
Initial release20142018202119942000
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0.59, April 20234.4, October 20213.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0commercial infofree licenses can be providedOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRustCC
Server operating systemsLinux
Unix
Windows
hostedhosted
Linux
macOS
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
server-less
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesnoyesyesyes infonot rigid because of 'dynamic typing' concept.
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 indexesyesnonoyesyes
SQL infoSupport of SQLyesnoyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes infoSQL-92 is not fully supported
APIs and other access methodsJDBCHTTP REST
Proprietary protocol
CLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Go
Java
JavaScript (Node.js)
Python
Rust
C
C++
Delphi
Java
Perl
PHP
Tcl
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresuser defined functionsnononono
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes infovia file-system locks
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.yesnonoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUsers with fine-grained authorization concept, user rolesnono

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More resources
Apache PhoenixCloudflare Workers KVDatabendmSQL infoMini SQLSQLite
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