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DBMS > Apache Kylin vs. Cloudflare Workers KV vs. Faircom DB vs. Riak KV

System Properties Comparison Apache Kylin vs. Cloudflare Workers KV vs. Faircom DB vs. Riak KV

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Distributed, fault tolerant key-value store
Primary database modelRelational DBMSKey-value storeKey-value store
Relational DBMS
Key-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#175  Overall
#80  Relational DBMS
Score0.39
Rank#278  Overall
#39  Key-value stores
Score0.24
Rank#311  Overall
#44  Key-value stores
#140  Relational DBMS
Score4.44
Rank#80  Overall
#9  Key-value stores
Websitekylin.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvwww.faircom.com/­products/­faircom-db
Technical documentationkylin.apache.org/­docsdevelopers.cloudflare.com/­kv/­apidocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software Foundation, originally contributed from eBay IncCloudflareFairCom CorporationOpenSource, formerly Basho Technologies
Initial release2015201819792009
Current release3.1.0, July 2020V12, November 20203.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infoRestricted, free version availableOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaANSI C, C++Erlang
Server operating systemsLinuxhostedAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
OS X
Data schemeyesschema-freeschema free, schema optional, schema required, partial schema,schema-free
Typing infopredefined data types such as float or dateyesnoyes, ANSI SQL Types, JSON, typed binary structuresno
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.nononono
Secondary indexesyesnoyesrestricted
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noyes, ANSI SQL with proprietary extensionsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST
Proprietary protocol
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
HTTP API
Native Erlang Interface
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++Erlang
Triggersnoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency
Foreign keys infoReferential integritynoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanotunable from ACID to Eventually Consistentno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesYes, tunable from durable to delayed durability to in-memoryyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesyes, using Riak Security

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More resources
Apache KylinCloudflare Workers KVFaircom DB infoformerly c-treeACERiak KV
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