DBMS > IBM Cloudant vs. LeanXcale vs. OpenMLDB

System Properties Comparison IBM Cloudant vs. LeanXcale vs. OpenMLDB

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Editorial information provided by DB-Engines

Name

Description

Database as a Service offering based on Apache CouchDB

A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities

An open-source machine learning database that provides a feature platform for training and inference

Primary database model

Document store

Key-value store
Relational DBMS

Time Series DBMS

Secondary database models

Relational DBMS

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

Score	2.75
Rank	#104	Overall
	#19	Document stores

Score	0.36
Rank	#280	Overall
	#40	Key-value stores
	#129	Relational DBMS

Score	0.10
Rank	#359	Overall
	#36	Time Series DBMS

Website

www.ibm.com/products/cloudant

www.leanxcale.com

openmldb.ai

Technical documentation

cloud.ibm.com/docs/Cloudant

openmldb.ai/docs/zh/main

Developer

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

LeanXcale

4 Paradigm Inc.

Initial release

2010

2015

2020

Current release

2024-2 February 2024

License

Commercial or Open Source

commercial

Open Source

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

C++, Java, Scala

Server operating systems

hosted

Linux

Data scheme

schema-free

yes

Fixed schema

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

yes

through Apache Derby

yes

APIs and other access methods

RESTful HTTP/JSON API

JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector

JDBC
SQLAlchemy

Supported programming languages

C#
Java
JavaScript
Objective-C
PHP
Ruby

C
Java
Scala

C++
Go
Java
Python
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

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

atomic operations within a document possible

ACID

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

User concepts

Access control

Access rights for users can be defined per database

fine grained access rights according to SQL-standard

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More resources

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16 August 2021, ibm.com

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