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Denodo
Denodo

6
21
+ 1
0
Explore
Explore

4
8
+ 1
0
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Denodo vs Explore: What are the differences?

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.

What is Explore? Free chart maker & visual exploration for spreadsheet data. It is a free online chart maker & visual data exploration tool for all your spreadsheet data (Excel, CSV, Google Sheets). It runs locally in your browser, and does not store your data in our servers - so, your data is absolutely safe.

Denodo and Explore can be categorized as "Business Intelligence" tools.

Some of the features offered by Denodo are:

  • Data virtualization
  • Data query
  • Data views

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

  • Free online chart maker
  • Visual data exploration tool for all your spreadsheet data
  • Runs locally in your browser
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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 Explore?

It is a free online chart maker & visual data exploration tool for all your spreadsheet data (Excel, CSV, Google Sheets). It runs locally in your browser, and does not store your data in our servers - so, your data is absolutely safe.
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              What are some alternatives to Denodo and Explore?
              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.
              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.
              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.
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