Jovian vs Pentaho Data Integration

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Jovian

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4
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Pentaho Data Integration

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Pentaho Data Integration vs Jovian: What are the differences?

Developers describe Pentaho Data Integration as "Easy to Use With the Power to Integrate All Data Types". It enable users to ingest, blend, cleanse and prepare diverse data from any source. With visual tools to eliminate coding and complexity, It puts the best quality data at the fingertips of IT and the business. On the other hand, Jovian is detailed as "Tooling and workflows built specifically for data science". It is a better place for your data science projects, Jupyter notebooks, machine learning models, experiment logs, results, and more.

Pentaho Data Integration and Jovian can be primarily classified as "Data Science" tools.

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What is Jovian?

It is a better place for your data science projects, Jupyter notebooks, machine learning models, experiment logs, results, and more.

What is Pentaho Data Integration?

It enable users to ingest, blend, cleanse and prepare diverse data from any source. With visual tools to eliminate coding and complexity, It puts the best quality data at the fingertips of IT and the business.

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What companies use Jovian?
What companies use Pentaho Data Integration?
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    What tools integrate with Jovian?
    What tools integrate with Pentaho Data Integration?
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      What are some alternatives to Jovian and Pentaho Data Integration?
      NumPy
      Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
      Pandas
      Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
      SciPy
      Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
      Anaconda
      A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
      Dataform
      Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.
      See all alternatives