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DBMS > Cloudflare Workers KV vs. Faircom EDGE vs. Spark SQL vs. STSdb vs. Warp 10

System Properties Comparison Cloudflare Workers KV vs. Faircom EDGE vs. Spark SQL vs. STSdb vs. Warp 10

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelKey-value storeKey-value store
Relational DBMS
Relational DBMSKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.faircom.com/­products/­faircom-edgespark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4www.warp10.io
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperCloudflareFairCom CorporationApache Software FoundationSTS Soft SCSenX
Initial release20181979201420112015
Current releaseV3, October 20203.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availableOpen Source infoApache 2.0Open Source infoGPLv2, commercial license availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++ScalaC#Java
Server operating systemshostedAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Windows
WindowsLinux
OS X
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or datenoyes, ANSI Standard SQL Typesyesyes infoprimitive types and user defined types (classes)yes
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.noyesnono
Secondary indexesnoyesnonono
SQL infoSupport of SQLnoyes infoANSI SQL queriesSQL-like DML and DDL statementsnono
APIs and other access methodsHTTP REST
Proprietary protocol
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
.NET Client APIHTTP API
Jupyter
WebSocket
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++nonoyes infoWarpScript
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningyes, utilizing Spark CorenoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoSynchronous and asynchronous realtime replication based on transaction logsnonenoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyes infowhen using SQLnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyesyes
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.noyesnoyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.nonoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Cloudflare Workers KVFaircom EDGE infoformerly c-treeEDGESpark SQLSTSdbWarp 10
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