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Knoldus VS Solvuu

Compare Knoldus VS Solvuu and see what are their differences

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Knoldus logo Knoldus

Knoldus is a data engineering and analytics platform that helps you build intelligent applications at scale.

Solvuu logo Solvuu

Solvuu is a web-based data science platform that enables scientists to easily manage, analyze, explore, visualize and share genomics data.
  • Knoldus Landing page
    Landing page //
    2023-06-12
  • Solvuu Landing page
    Landing page //
    2022-03-03

Category Popularity

0-100% (relative to Knoldus and Solvuu)

Knoldus

Solvuu

Development
42 42%
Development
58% 58
Business & Commerce
42 42%
Business & Commerce
58% 58
Technical Computing
44 44%
Technical Computing
56% 56
Data Dashboard
36 36%
Data Dashboard
64% 64

User comments

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What are some alternatives?

When comparing Knoldus and Solvuu, you can also consider the following products

IBM ILOG CPLEX Optimization Studio - IBM ILOG CPLEX Optimization Studio is an easy-to-use, affordable data analytics solution for businesses of all sizes who want to optimize their operations.

Amadea - Amadea is the leading integrated Data Science platform, empowering data analysts and data scientists to discover the insights that drive business success.

Composable Analytics - Composable Analytics is an enterprise-grade analytics ecosystem built for business users that want to architect data intelligence solutions that leverage disparate data sources and event data.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

RapidMiner Studio - Visual workflow designer for predictive analytics that brings data science and machine learning to everyone on the analytics team

AIXON - AIXON is an AI-powered data science solution that enables data scientists of all levels of experience to build machine learning models and deploy them into production with less code and without the need for a data science team.

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