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DBMS > NSDb vs. PlanetScale vs. PouchDB vs. TDSQL for MySQL

System Properties Comparison NSDb vs. PlanetScale vs. PouchDB vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameNSDb  Xexclude from comparisonPlanetScale  Xexclude from comparisonPouchDB  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesScalable, distributed, serverless MySQL database platform built on top of VitessJavaScript DBMS with an API inspired by CouchDBA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelTime Series DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websitensdb.ioplanetscale.compouchdb.comwww.tencentcloud.com/­products/­dcdb
Technical documentationnsdb.io/­Architectureplanetscale.com/­docspouchdb.com/­guideswww.tencentcloud.com/­document/­product/­1042
DeveloperPlanetScaleApache Software FoundationTencent
Initial release2017202020122013
Current release7.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ScalaGoJavaScript
Server operating systemsLinux
macOS
Docker
Linux
macOS
server-less, requires a JavaScript environment (browser, Node.js)hosted
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyes: int, bigint, decimal, stringyesnoyes
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 indexesall fields are automatically indexedyesyes infovia viewsyes
SQL infoSupport of SQLSQL-like query languageyes infowith proprietary extensionsnoyes
APIs and other access methodsgRPC
HTTP REST
WebSocket
ADO.NET
JDBC
MySQL protocol
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
Supported programming languagesJava
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScriptC
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxView functions in JavaScriptyes
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungeAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage enginenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at shard levelnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentUsing Apache Luceneyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesnoUsers with fine-grained authorization concept

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More resources
NSDbPlanetScalePouchDBTDSQL for MySQL
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