Software Alternatives & Reviews

Data RPM VS Dataiku

Compare Data RPM VS Dataiku and see what are their differences

Data RPM logo Data RPM

Monetize Insights. Increase Profits. - DataRPM

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • Data RPM Landing page
    Landing page //
    2023-10-20
  • Dataiku Landing page
    Landing page //
    2023-08-17

Data RPM videos

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Dataiku videos

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

Category Popularity

0-100% (relative to Data RPM and Dataiku)
AI
100 100%
0% 0
Data Science And Machine Learning
Developer Tools
100 100%
0% 0
Data Science Tools
0 0%
100% 100

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Reviews

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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.
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....

What are some alternatives?

When comparing Data RPM and Dataiku, you can also consider the following products

Evidently AI - Open-source monitoring for machine learning models

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

iko.ai - Real-time collaborative notebooks on your own Kubernetes clusters to train, track, package, deploy, and monitor your machine learning models.

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

Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.

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