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DBMS > Cloudflare Workers KV vs. Splice Machine vs. SWC-DB vs. Yanza

System Properties Comparison Cloudflare Workers KV vs. Splice Machine vs. SWC-DB vs. Yanza

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonSplice Machine  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. 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.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA high performance, scalable Wide Column DBMSTime Series DBMS for IoT Applications
Primary database modelKey-value storeRelational DBMSWide column storeTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitewww.cloudflare.com/­developer-platform/­workers-kvsplicemachine.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
yanza.com
Technical documentationdevelopers.cloudflare.com/­kv/­apisplicemachine.com/­how-it-works
DeveloperCloudflareSplice MachineAlex KashirinYanza
Initial release2018201420202015
Current release3.1, March 20210.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemshostedLinux
OS X
Solaris
Windows
LinuxWindows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesno
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.nonono
Secondary indexesnoyesno
SQL infoSupport of SQLnoyesSQL-like query languageno
APIs and other access methodsHTTP REST
Proprietary protocol
JDBC
Native Spark Datasource
ODBC
Proprietary protocol
Thrift
HTTP API
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++any language that supports HTTP calls
Server-side scripts infoStored proceduresnoyes infoJavanono
Triggersnoyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShared Nothhing Auto-Sharding, Columnar PartitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardno

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More resources
Cloudflare Workers KVSplice MachineSWC-DB infoSuper Wide Column DatabaseYanza
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