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
●
Denodo
●
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
● Oracle
● 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
Discovery − Using 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 Agnostic
− Tableau 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 Data − The 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
Conclusion:
Thus we have successfully completed learning
the differences between the Denodo and Tableau platforms along with their
working features.