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Denodo vs Tableau: Overview and Difference between them


In today’s business world, Denodo and Tableau are two powerful platforms that are widely used by the industries of business intelligence and analytics for accessing data. Let’s begin with an overview.

Overview of Denodo

Data virtualization is an umbrella term for any solution to master data management. It enables for retrieval and manipulation of data regardless of its format or location. Data can include unstructured and structured data, emails, logs, and more in a variety of formats and sizes. Expertise the data visualization skills with this online Denodo training course and upgrade your professional career.


Denodo's data virtualization technology could help us solve, or at the very least alleviate the current complexity. It's the quickest way to get access to all of the company's data without having to worry about potential stumbling blocks when pulling data from multiple sources. Without the need to relocate data to a central repository, it provides a single point of access for all company data.


This blog will assist you in comprehending the fundamental features of Data Virtualization.

Why Data Virtualization?

       When Data Virtualization is used, no data is transported or replicated. This speeds up the data retrieval process, saving users money and time.

       Data Virtualization makes it easier for heterogeneous data to integrate and interact as the data remains in its original location. It also connects the semantics of unstructured and structured data.

       Data quality enhances overall, and data management becomes more simple.

       It enables a more flexible BI.

Data Virtualization Tools

There are several platforms available for data virtualization.  Denodo will be used as an example in this study to demonstrate the characteristics and benefits of data virtualization.

       Data Current


       Red Hat JBoss Data Virtualization

       TIBCO Data Virtualization

       Oracle Data Service Integrator

Denodo’s Data Virtualization Tool

The Denodo Platform provides data virtualization benefits such as real-time access to integrated data across an organization's different data sources without having to replicate any data. It provides advanced capabilities like Dynamic Query Optimizer, enhanced caching, and self-service data discovery in the quickest feasible manner.

How It Works

Configuring Multiple Data Sources to Denodo’s Virtualization Platform

We connect a variety of data sources to Denodo's Data Virtualization Platform at HEXstream, a few of which are listed below.

       Spark-SQL and Hive


       NoSQL Database (MongoDB and HBase)

       XML Files

       Azure Blob Storage.

Denardo's ability to connect to a wide range of sources allows enterprises to get a more full picture of their enterprise data, paving the path for better analytics.

Overview of Tableau

Tableau's drag-and-drop interface makes it simple to visualize any data. Its strong data finding and exploration tool helps you to quickly find solutions to critical issues. Tableau doesn't necessitate any sophisticated scripting; it's as simple as publishing to Tableau Server.

Features in Tableau

Tableau has solutions for a wide range of businesses, departments, and data environments. Tableau has a number of unique features that allow it to handle a variety of scenarios.

     Speed of Analysis − Any user with access to data can start using it to create value from the data because it doesn’t require a high level of technical expertise.

     Self-Reliant − Tableau doesn’t necessitate a sophisticated software setup. The desktop version, which is used by the majority of customers, is simple to set up and includes all of the capabilities required to begin and complete data analysis.

     Visual DiscoveryUsing visual aids such as colors, trend lines, charts, and graphs, the user explores and evaluates the data. Since almost everything is done by drag and drop, there is very little script to write.

     Blend Diverse Data Sets Tableau enables you to combine relational, semistructured, and unstructured data sources in real-time without incurring costly upfront integration expenses. Users do not need to know how data is kept in detail.

     Architecture AgnosticTableau is compatible with a wide range of data-flowing devices. Therefore, the user does not need to be concerned about certain hardware or software requirements in order to utilize Tableau.

     Real-Time Collaboration − You may keep your data view and invite colleagues to subscribe to interactive dashboards so they can always access the most up-to-date information by just refreshing their browser. Tableau could also integrate a live dashboard in portals such as SharePoint or Salesforce.

     Centralized DataThe tableau server acts as a consolidated repository for all of your publicly available data. In one handy location, you can remove, modify permissions, add tags, and manage schedules. Extract refreshes may be easily scheduled and managed on the data server. Administrators could set a timetable for extracts on the server.


Differences between Tableau and Denodo

What is Tableau?

Tableau aids in the visualization and comprehension of data. Tableau can assist everyone in seeing and comprehending their data. Connect to practically any database, build visualizations by dragging and dropping, and share with a single click.

What is Denodo?

A data visualization tool that enables you to connect diverse data sources. It is the market leader in data virtualization, allowing users to access, regulate, and deliver data from a wide range of business, cloud, big data, and unstructured data sources without having to move the data from its original location.


Tableau and Denodo are both "Business Intelligence" applications. Now let us understand the differences with features offered.

Tableau provides the following features:

     Connect to on-premises or cloud-based data — Data is the starting point for analysis. Tableau can help you get more out of your data. Without writing code, you can access and merge diverse data sources. To optimize data sources, advanced users can pivot, separate, and manipulate metadata.

       Data-driven decisions should be made with confidence. New questions should be asked, patterns should be seen, opportunities should be identified. Use trend analyses, regressions, and correlations to make your case. Drag and drop reference lines and projections to quickly create powerful calculations from existing data.

     Respond to both the "where" and "why" questions. Automatically create interactive maps. Built-in postal codes allow for lightning-fast mapping in over 50 countries across the world. Use custom geocodes and territories to help your data stand out from the crowd.

Denodo, on the other hand, offers the following major features:

     Data virtualization

     Data query

     Data views


Thus we have successfully completed learning the differences between the Denodo and Tableau platforms along with their working features.

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