Software Alternatives & Reviews

Predera VS Dataiku

Compare Predera VS Dataiku and see what are their differences

Predera logo Predera

A light-weight, composable, vertical machine learning operations engine for Healthcare, Retail, and CRMs, one-click scalable deployment, monitoring, governance, explainability

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • Predera Landing page
    Landing page //
    2023-08-22

Everyday millions of machine learning models are built by analysts and data scientists everywhere, and only a few of them make it to production, and continue to provide value over time. At Predera we have built AIQ, an MLOps & monitoring engine to help Data Scientists with the tedious job of deploying and managing ML, by collecting and leveraging the rich semi-structured data created in the entire machine learning development life cycle.

AIQ is language agnostic, plugs into most popular machine learning (ML) libraries across cloud / on-premise to continuously monitor data, track model quality and provide real-time insights to manage robust, high quality machine learning applications.

  • Dataiku Landing page
    Landing page //
    2023-08-17

Predera

$ Details
freemium $999.0 / Monthly (1 project, 10 models, 5 users)
Platforms
Web Browser REST API
Release Date
2020 June

Predera videos

Predera AIQ - full ML life cycle to build data solutions

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 Predera and Dataiku)
Data Science And Machine Learning
AI
100 100%
0% 0
Data Science Tools
3 3%
97% 97
Machine Learning
100 100%
0% 0

User comments

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Reviews

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

Predera 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 Predera and Dataiku, you can also consider the following products

Azure Machine Learning Studio - Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

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

cnvrg CORE - Free ML Platform for everyone

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

Dataiku DSS - Dataiku's single, collaborative platform powers both self-service analytics and the operationalization of machine learning models in production.

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