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Facette vs Pentaho Data Integration

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Facette
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4
+ 1
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Pentaho Data Integration
100
69
+ 1
0
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Pentaho Data Integration vs Facette: What are the differences?

Pentaho Data Integration: 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; Facette: Time series data visualization software. It is a web application to display time series data from various sources such as collectd, Graphite, InfluxDB or KairosDB on graphs, designed to be easy to setup and to use.

Pentaho Data Integration and Facette can be categorized as "Data Science" tools.

Facette is an open source tool with 1.07K GitHub stars and 75 GitHub forks. Here's a link to Facette's open source repository on GitHub.

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What is Facette?

It is a web application to display time series data from various sources such as collectd, Graphite, InfluxDB or KairosDB on graphs, designed to be easy to setup and to use.

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.

Need advice about which tool to choose?Ask the StackShare community!

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    What are some alternatives to Facette 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.
    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.
    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.
    See all alternatives

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