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Denodo
Denodo

5
8
+ 1
0
Pandas
Pandas

619
485
+ 1
18
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Pandas vs Denodo: What are the differences?

What is Pandas? High-performance, easy-to-use data structures and data analysis tools for the Python programming language. Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.

What is Denodo? Data virtualisation platform, allowing you to connect disparate data from any source. It is the leader in data virtualization providing data access, data governance and data delivery capabilities across the broadest range of enterprise, cloud, big data, and unstructured data sources without moving the data from their original repositories.

Pandas and Denodo belong to "Data Science Tools" category of the tech stack.

Some of the features offered by Pandas are:

  • Easy handling of missing data (represented as NaN) in floating point as well as non-floating point data
  • Size mutability: columns can be inserted and deleted from DataFrame and higher dimensional objects
  • Automatic and explicit data alignment: objects can be explicitly aligned to a set of labels, or the user can simply ignore the labels and let Series, DataFrame, etc. automatically align the data for you in computations

On the other hand, Denodo provides the following key features:

  • Data virtualization
  • Data query
  • Data views

Pandas is an open source tool with 21.2K GitHub stars and 8.38K GitHub forks. Here's a link to Pandas's open source repository on GitHub.

- No public GitHub repository available -

What is Denodo?

It is the leader in data virtualization providing data access, data governance and data delivery capabilities across the broadest range of enterprise, cloud, big data, and unstructured data sources without moving the data from their original repositories.

What is 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.
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          What are some alternatives to Denodo and Pandas?
          AtScale
          Its Virtual Data Warehouse delivers performance, security and agility to exceed the demands of modern-day operational analytics.
          Tableau
          Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
          Presto
          Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes.
          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.
          Metabase
          Metabase is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.
          See all alternatives
          Decisions about Denodo and Pandas
          Guillaume Simler
          Guillaume Simler
          at Velchanos.io | 4 upvotes 57.8K views
          Jupyter
          Jupyter
          Anaconda
          Anaconda
          Pandas
          Pandas
          IPython
          IPython

          Jupyter Anaconda Pandas IPython

          A great way to prototype your data analytic modules. The use of the package is simple and user-friendly and the migration from ipython to python is fairly simple: a lot of cleaning, but no more.

          The negative aspect comes when you want to streamline your productive system or does CI with your anaconda environment: - most tools don't accept conda environments (as smoothly as pip requirements) - the conda environments (even with miniconda) have quite an overhead

          See more
          Interest over time
          Reviews of Denodo and Pandas
          No reviews found
          How developers use Denodo and Pandas
          Avatar of Morris Clay
          Morris Clay uses PandasPandas

          Data wrangling, analysis and pre-processing

          Avatar of Eliana Abraham
          Eliana Abraham uses PandasPandas

          I used this a lot more than I used Jupyter.

          Avatar of GadgetSteve
          GadgetSteve uses PandasPandas

          Great data manipulation tool

          How much does Denodo cost?
          How much does Pandas cost?
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