DBMS > IBM Cloudant vs. Machbase Neo

System Properties Comparison IBM Cloudant vs. Machbase Neo

Please select another system to include it in the comparison.

Our visitors often compare IBM Cloudant and Machbase Neo with MongoDB.

Editorial information provided by DB-Engines

Name

Description

Database as a Service offering based on Apache CouchDB

TimeSeries DBMS for AIoT and BigData

Primary database model

Document store

Time Series DBMS

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

Score	2.77
Rank	#99	Overall
	#18	Document stores

Score	0.06
Rank	#348	Overall
	#32	Time Series DBMS

Website

www.ibm.com/products/cloudant

machbase.com

Technical documentation

cloud.ibm.com/docs/Cloudant

machbase.com/dbms

Developer

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

Machbase

Initial release

2010

2013

Current release

V8.0, August 2023

License

Commercial or Open Source

commercial

free test version available

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Erlang

Server operating systems

hosted

Linux
macOS
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

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.

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

APIs and other access methods

RESTful HTTP/JSON API

gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC

Supported programming languages

C#
Java
JavaScript
Objective-C
PHP
Ruby

C
C#
C++
Go
Java
JavaScript
PHP

via ODBC
Python
R

via ODBC
Scala

Server-side scripts

Stored procedures

View functions (Map-Reduce) in JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

atomic operations within a document possible

Concurrency

Support for concurrent manipulation of data

yes

Optimistic locking

yes

Durability

Support for making data persistent

yes

In-memory capabilities

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

yes

volatile and lookup table

User concepts

Access control

Access rights for users can be defined per database

simple password-based access control

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

IBM Code Engine and IBM Cloudant: Serverless Data and Infrastructure
16 August 2021, ibm.com

IBM Cloud Data Services Newsletter
22 July 2020, ibm.com

Truck Tracker: An IoT Pattern Using IBM Cloud Services
6 January 2022, ibm.com

IBM Recognized in the TrustRadius 2022 Top Rated Awards
12 May 2022, ibm.com

Introducing the IBM Cloud Developer Console
16 March 2017, ibm.com

provided by Google News

Share this page