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Dataiku VS IBM MQ

Compare Dataiku VS IBM MQ and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

IBM MQ logo IBM MQ

IBM MQ is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms.
  • Dataiku Landing page
    Landing page //
    2023-08-17
  • IBM MQ Landing page
    Landing page //
    2023-07-03

Dataiku

Website
dataiku.com
Pricing URL
Official Dataiku Pricing
Release Date
2013 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Clément Stenac
Employees
500 - 999
Edit details

IBM MQ

Website
ibm.com
Pricing URL
-
Release Date
-
Edit details

Dataiku videos

+ Add

AutoML with Dataiku: And End-to-End Demo

More videos:

  • Review - Dataiku: For Everyone in the Data-Powered Organization
  • Tutorial - Dataiku DSS Tutorial 101: Your very first steps

IBM MQ videos

+ Add

IBM MQ Clustering - Tom Dunlap

More videos:

  • Review - IBM Blockchain Platform - 2019 Review - All You Need to Know
  • Review - IBM Blockchain Platform Community Call – Next Generation Platform Tour + Q&A
  • Review - IBM MQ V9 Open Source Monitoring
  • Review - The next generation of the IBM Blockchain Platform

Category Popularity

0-100% (relative to Dataiku and IBM MQ)

Dataiku

IBM MQ

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Cloud Computing
0 0%
Cloud Computing
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Data Integration
0 0%
Data Integration
100% 100

User comments

Share your experience with using Dataiku and IBM MQ. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Dataiku and IBM MQ

Dataiku Reviews

15 data science tools to consider using in 2021
Some platforms are also available in free open source or community editions -- examples include Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server software package that supports team-based collaboration and workflow automation, deployment and management.
Source: searchbusinessanalytics.techtarget.com
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Dataiku offers an advanced analytics solution that allows organizations to create their own data tools. The company’s flagship product features a team-based user interface for both data analysts and data scientists. Dataiku’s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch....
Source: solutionsreview.com

IBM MQ Reviews

6 Best Kafka Alternatives: 2022’s Must-know List
IBM MQ is one of the best Kafka Alternatives which has an easy-to-use Interface and High Reliability and Data Security. It also facilitates the interoperability between various applications, either within or outside the organization. IBM MQ allows developers to focus on critical issues and manage any changes to transaction volumes asynchronously due to its simple structure.
Source: hevodata.com
Top 15 Alternatives to RabbitMQ In 2021
IBM MQ is an official message middleware which shortens the integration of varied applications and data spread throughout numerous platforms. It employs a message queue to share the info and offers a distinct messaging service for cloud systems, IoT gadgets, and mobile environments. By linking every element virtually from modest device to most complicated industrial...
Source: gokicker.com
Top 15 Kafka Alternatives Popular In 2021
IBM MQ is an easily usable interface with a great deal of reliability and security. Support is readily available in case needed anytime. It looks at handling the interoperability between various applications, be it within the organization or outside. It has asynchronous competencies and offers message integrity and relentless delivery. Because of its simplistic nature, it...
Source: www.spec-india.com

What are some alternatives?

When comparing Dataiku and IBM MQ, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

RabbitMQ - RabbitMQ is an open source message broker software.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Ethereum - Ethereum is a decentralized platform for applications that run exactly as programmed without any chance of fraud, censorship or third-party interference.

NumPy - NumPy is the fundamental package for scientific computing with Python

Hyperledger - Hyperledger is a multi-project open source collaborative effort hosted by The Linux Foundation, created to advance cross-industry blockchain technologies.

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