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DBMS > GridDB vs. IBM Cloudant vs. PlanetScale vs. SQL.JS

System Properties Comparison GridDB vs. IBM Cloudant vs. PlanetScale vs. SQL.JS

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Editorial information provided by DB-Engines

Name

Description

Scalable in-memory time series database optimized for IoT and Big Data

Database as a Service offering based on Apache CouchDB

Scalable, distributed, serverless MySQL database platform built on top of Vitess

Port of SQLite to JavaScript

Primary database model

Time Series DBMS

Relational DBMS

Relational DBMS

Secondary database models

Key-value store
Relational DBMS

Document store
Spatial DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	1.91
Rank	#123	Overall
	#10	Time Series DBMS

Score	2.85
Rank	#95	Overall
	#18	Document stores

Score	1.09
Rank	#178	Overall
	#82	Relational DBMS

Score	0.53
Rank	#246	Overall
	#115	Relational DBMS

Website

www.ibm.com/products/cloudant

planetscale.com

Technical documentation

docs.griddb.net

cloud.ibm.com/docs/Cloudant

planetscale.com/docs

sql.js.org/documentation/index.html

Developer

Toshiba Corporation

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

PlanetScale

Alon Zakai

enhancements implemented by others

Initial release

2013

2010

2020

2012

Current release

5.1, August 2022

License

Commercial or Open Source

Open Source

AGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available

commercial

commercial

Open Source

Cloud-based only

Only available as a cloud service

no

yes

yes

no

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Erlang

Go

JavaScript

Server operating systems

Linux

hosted

Docker
Linux
macOS

server-less, requires a JavaScript environment (browser, Node.js)

Data scheme

yes

schema-free

yes

yes

Typing

predefined data types such as float or date

yes

numerical, string, blob, geometry, boolean, timestamp

no

yes

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

no

no

no

Secondary indexes

yes

yes

yes

SQL

Support of SQL

SQL92, SQL-like TQL (Toshiba Query Language)

no

yes

with proprietary extensions

yes

SQL-92 is not fully supported

APIs and other access methods

JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API

RESTful HTTP/JSON API

ADO.NET
JDBC
MySQL protocol
ODBC

JavaScript API

Supported programming languages

C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

C#
Java
JavaScript
Objective-C
PHP
Ruby

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

Stored procedures

no

View functions (Map-Reduce) in JavaScript

yes

proprietary syntax

no

Triggers

yes

yes

yes

no

Partitioning methods

Methods for storing different data on different nodes

Sharding

Sharding

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Multi-source replication
Source-replica replication

Multi-source replication
Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Connector for using GridDB as an input source and output destination for Hadoop MapReduce jobs

yes

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate consistency within container, eventual consistency across containers

Eventual Consistency

Eventual Consistency across shards
Immediate Consistency within a shard

none

Foreign keys

Referential integrity

no

no

yes

not for MyISAM storage engine

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID at container level

no

atomic operations within a document possible

ACID at shard level

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

Optimistic locking

yes

table locks or row locks depending on storage engine

Durability

Support for making data persistent

yes

yes

yes

no

except by serializing a db to a file

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

no

yes

yes

User concepts

Access control

Access rights for users can be defined per database

Access rights for users can be defined per database

Users with fine-grained authorization concept

no user groups or roles

no

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More resources

DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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