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DBMS > Apache Kylin vs. FatDB vs. PlanetScale vs. PouchDB

System Properties Comparison Apache Kylin vs. FatDB vs. PlanetScale vs. PouchDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonFatDB  Xexclude from comparisonPlanetScale  Xexclude from comparisonPouchDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackA .NET NoSQL DBMS that can integrate with and extend SQL Server.Scalable, distributed, serverless MySQL database platform built on top of VitessJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websitekylin.apache.orgplanetscale.compouchdb.com
Technical documentationkylin.apache.org/­docsplanetscale.com/­docspouchdb.com/­guides
DeveloperApache Software Foundation, originally contributed from eBay IncFatCloudPlanetScaleApache Software Foundation
Initial release2015201220202012
Current release3.1.0, July 20207.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#GoJavaScript
Server operating systemsLinuxWindowsDocker
Linux
macOS
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nono
Secondary indexesyesyesyesyes infovia views
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)no infoVia inetgration in SQL Serveryes infowith proprietary extensionsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
MySQL protocol
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC#Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScript
Server-side scripts infoStored proceduresyes infovia applicationsyes infoproprietary syntaxView functions in JavaScript
Triggersyes infovia applicationsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency across shards
Immediate Consistency within a shard
Eventual Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
Apache KylinFatDBPlanetScalePouchDB
DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
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