Two of the most popular data visualization tools, Tableau
and Qlikview are easily the most widely used tools when it comes to
interpreting complicated data sets. An outstanding combination of animated
charts, graphic manipulation tools, BI capabilities for interactive analytics,
text and interactive dashboard, both of them present extraordinary features,
making them stand out of others. Tableauand Qlik have always grabbed a coveted
spot at the Gartner’s Magic Quadrant. Let’s try to understand how these two tools
are different from each other.
Before we begin, it is important to understand that these
two are highly ranked tools by professionals and may have pros and cons
depending on the kind of work that the user is looking for. For instance,
Tableau is a good option if a user is looking for an easy, user friendly
visualization format or a scalable software solution to be used within an
organization. Whereas QlikView could be a good option in a large organization
which may require multifaceted software to look into different departments.
Qlickview:
This visualization tool brought to you by Qlik, is a simple
and easy tool that lets the user put business in total control. It lets you
consolidate, search, visualize and analyze all the data sources for fetching
useful business insights. QlikView is an easy way to get answers to the most
critical business questions in quick time.
One of the highest used tools, it also ranks high in terms
of customer loyalty, performance, features and quality. It offers integrated BI
platform along with highly insightful demos, training manuals and tutorials,
helping the users to get easily acquainted with the tool in no time. It comes
with several components such as QlikView SERVER (QVS), QlikView Publisher
(QVP).
Pros
1.Deployment and Configuration- This easily
deployable and configurable tool starts producing stunning reports within
minutes of installation.
2.Usability and functionality-
It is easy to learn and does not require coding for creating
simple dashboards.
It is highly user centric as it comes loaded with lot of
visualization features that gives quick meaningful insights to the users.
3.Accessibility- Qlikview is not dependent on device,
and can be easily accessed from anywhere.
4.Connectivity with other tools- It integrates with a
very broad range of data sources like Amazon Vectorwise, EC2, and Redshift,
Cloudera Hadoop and Impala, Hortonworks Hadoop, HP Vertica, IBM Netezza,
MicroStrategy, MS SQL Server, My SQL, ODBC, Par Accel, Salesforce, SAP, SAP
Hana, Teradata, and many more. It can also connect with R using API integration
and with Big Data.
5.Community engagement- It has actively engaged
community and resources that can to help in learning about this software in
best possible manner.
6.Speed- It’s fast analysis delivers the result
quickly and it enables a decision making that is much faster compared to
traditional methods.
7.Search options- Its associative technology makes
data modeling easier. Just type any word in any order into search box, and it
will show connections and relationships across the data.
8.Costing-
It costs lower compared to tableau. See the complete pricing
here.
It also comes with a free personal edition, letting a user
to access the tool without buying it, such as in case of small organizations.
9.Data storage- It comes with efficient data storage
(QVD formats) and has capability to perform data warehousing.
Cons
Free personal edition comes with limitation of document
sharing.
Its structure can be overwhelming with lots of tabs making
it difficult to manage and understand the tool in first go.
It has some extra features that is not used to its full
propensity.
It has a time-demanding setup unlike tableau
Tableau:
This quick to analyze and visualize tool, has been a market
leader for quite a long time. The visualization capabilities of Tableau are
quite diverse and highly insightful, giving it an edge over others. Features
such as word clouds, bubble maps, tree maps enhance comprehension and gives
various options to display information. The company states that more than
54,000 customer accounts have been getting rapid results with Tableau in the
office and on-the-go. It has several components such as Gateway/load balancer,
application server, repository, VISQL server, data engine, backgrounder, data
server.
Pros
1.Deployment- It is easier to deploy as it requires
more structured data.
2.Usability and functionality-
It does not require coding at all and the entire interface
is based on drag and drop making the tool easy to use and may be effectively
used by those with little technical expertise.
Its interface is simple, not filled with too many features
at one page.
It comes with an ability to blend data sets and collaborate
in real-time making it a highly desirable business intelligence technology.
Tableau is rich in data visualization capabilities and
presents highly interactive reports and recommendations.
3.Connectivity with other tools- Best Guide
Using tableau one can easily connect to the database,
reducing time and effort of the user.
It can integrate with spreadsheets, CSV, SQL databases,
Cloudera Hadoop, Firebird, Google Analytics, Google BigQuery, Hortonworks Hadoop,
HP Vertica, MS SQL Server, MySQL, Salesforce, Teradata etc. It can connect with
R that powers the analytical capabilities of the tool.
4.Accessibility- It is available on all devices and
can be accessed over internet.
5.Community engagement- It has actively engaged
community and resources to help you learn this software in the best possible
manner.
6.Speed-
Tableau can create interactive visualizations and reports in
a matter of minutes, making it a very fast tool.
It also makes the entire process faster as it allows sharing
of reports both online and offline.
7.Costing- Private versions come with price range of
$999 to $1,999 depending on data access.
8.Multi-dimensional mapping- Tableau is very
efficient in creating multi-dimensional maps with the help of its in-built
geo-coding feature. It is a lot easier to create geospatial dashboards with
Tableau.
9.Security- Tableau exercise control over the access
of information with the help of various security measures.
Cons kat
Though it can integrate with many data sources, the list is
shorter than that of QlikView.
The process of pulling out data is quite long.
It can be slower than QlikView in finding out its memory
statistics.
It does not provide feature to search content across all
your data.
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