What users are saying about
113 Ratings
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Top Rated
631 Ratings
113 Ratings
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Score 8.4 out of 101

QlikView

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631 Ratings
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Score 7.9 out of 101

Likelihood to Recommend

Apache Spark

The software appears to run more efficiently than other big data tools, such as Hadoop. Given that, Apache Spark is well-suited for querying and trying to make sense of very, very large data sets. The software offers many advanced machine learning and econometrics tools, although these tools are used only partially because very large data sets require too much time when the data sets get too large. The software is not well-suited for projects that are not big data in size. The graphics and analytical output are subpar compared to other tools.
Thomas Young profile photo

QlikView

I can't recommend QlikView enough for a small shop on a shoestring budget--with one technical user administering things, all your users can have a really nice, super useful data exploration tool. The burden is certainly on that one user, but the payback is immense considering the price (free!). Solutions like Tableau and Qlik's new product, Qlik Sense, are certainly prettier and less demanding in terms of UI design, but they can't touch QlikView in terms of value.
Jake Tolbert profile photo

Feature Rating Comparison

BI Standard Reporting

Apache Spark
QlikView
7.2
Pixel Perfect reports
Apache Spark
QlikView
6.6
Customizable dashboards
Apache Spark
QlikView
8.1
Report Formatting Templates
Apache Spark
QlikView
7.0

Ad-hoc Reporting

Apache Spark
QlikView
7.8
Drill-down analysis
Apache Spark
QlikView
8.2
Formatting capabilities
Apache Spark
QlikView
7.5
Integration with R or other statistical packages
Apache Spark
QlikView
7.5
Report sharing and collaboration
Apache Spark
QlikView
7.8

Report Output and Scheduling

Apache Spark
QlikView
7.7
Publish to Web
Apache Spark
QlikView
7.6
Publish to PDF
Apache Spark
QlikView
8.1
Report Versioning
Apache Spark
QlikView
7.7
Report Delivery Scheduling
Apache Spark
QlikView
7.6

Data Discovery and Visualization

Apache Spark
QlikView
7.2
Pre-built visualization formats (heatmaps, scatter plots etc.)
Apache Spark
QlikView
8.2
Location Analytics / Geographic Visualization
Apache Spark
QlikView
6.8
Predictive Analytics
Apache Spark
QlikView
6.8

Access Control and Security

Apache Spark
QlikView
8.3
Multi-User Support (named login)
Apache Spark
QlikView
8.5
Role-Based Security Model
Apache Spark
QlikView
8.5
Multiple Access Permission Levels (Create, Read, Delete)
Apache Spark
QlikView
7.9

Mobile Capabilities

Apache Spark
QlikView
7.6
Responsive Design for Web Access
Apache Spark
QlikView
7.8
Dedicated iOS Application
Apache Spark
QlikView
6.9
Dedicated Android Application
Apache Spark
QlikView
8.2
Dashboard / Report / Visualization Interactivity on Mobile
Apache Spark
QlikView
7.7

Pros

Apache Spark

  • Rich APIs for data transformation making for very each to transform and prepare data in a distributed environment without worrying about memory issues
  • Faster in execution times compare to Hadoop and PIG Latin
  • Easy SQL interface to the same data set for people who are comfortable to explore data in a declarative manner
  • Interoperability between SQL and Scala / Python style of munging data
Nitin Pasumarthy profile photo

QlikView

  • QlikView allows you make data-backed visualization very easily. The format of these visualizations is completely up to you and your team.
  • QlikView can show your data in many type of graphs as well as show the actual numbers associated with graphical points.
  • We use QlikView to access data on Microsoft SQL Server, but other data sources are supported. Check out the QlikView documentation to determine if they can use data in formats that you need to perform analysis on.
No photo available

Cons

Apache Spark

  • Memory management. Very weak on that.
  • PySpark not as robust as scala with spark.
  • spark master HA is needed. Not as HA as it should be.
  • Locality should not be a necessity, but does help improvement. But would prefer no locality
Anson Abraham profile photo

QlikView

  • Qlikview has its own database and management system. Developers are required to build a new data model to get data into Qlikview.
  • Qlikview's web application requires significant memory and processing power from the browser. Complex dashboards can crash your browser if you're running too many things at once.
  • Qlikview dashboards look relatively outdated.
No photo available

Likelihood to Renew

Apache Spark

No score
No answers yet
No answers on this topic

QlikView

QlikView 8.8
Based on 29 answers
Ease of use, ability to load from pretty much any data source. today I created an application that loaded time sheets from excel that are not in a table format. With Qlik's "enable transformation steps" I was able to automate loads of multiple spreadsheets and multiple tabs easily. Could not do that with any other tool.
Debbie Pyykkonen, MBA profile photo

Usability

Apache Spark

No score
No answers yet
No answers on this topic

QlikView

QlikView 9.8
Based on 6 answers
Dashboards are easy to use. They are very Excel-like with HTML5 capabilities. Data visualization is good.

The system requires minimum training to get user up and running. It just takes one hour to get up and running with building basic dashboards and one all day session for sophisticated dashboard building. It is intuitive.

We see this in our user adoption. We went from 6 users/day consuming dashboards to over 200 in 1.5 years.

We have 40-50 power users authoring dashboards. They have development licenses. My team in IT used to have to build all dashboards. Our capacity has grown from 3 to 50. Most of these users are analyst types good in Excel. A few power users can write SQL to build QVD models
No photo available

Reliability and Availability

Apache Spark

No score
No answers yet
No answers on this topic

QlikView

QlikView 9.8
Based on 4 answers
We have not had any downtime issues with the product nor uncovered any significant bugs
Bill Chamberlain profile photo

Performance

Apache Spark

No score
No answers yet
No answers on this topic

QlikView

QlikView 8.6
Based on 4 answers
The scripting option gives me options to connect to different databases with ease
Raymond Younan profile photo

Support

Apache Spark

No score
No answers yet
No answers on this topic

QlikView

QlikView 2.1
Based on 7 answers
Qlik does have a tendency to push back sometimes stating that the issue is not related to QlikView but the system it is hosted on
Debbie Pyykkonen, MBA profile photo

In-Person Training

Apache Spark

No answers on this topic

QlikView

My team attended, but I cannot myself rate, but I think it was good as they've successfully launched a training program at our company themselves for users. It was 3-4 day training.
No photo available

Online Training

Apache Spark

No score
No answers yet
No answers on this topic

QlikView

QlikView 8.0
Based on 3 answers
Training was as expected. The demo environments tend to be more fully featured that our own environment, but the training was clear and well delivered.
Robert Goodman profile photo

Implementation

Apache Spark

No score
No answers yet
No answers on this topic

QlikView

QlikView 7.4
Based on 13 answers
"Implementation" can mean a few things... so I'm not sure that this is the answer you want.... but here it goes:To me, implementation means: "Is the user interface intuitive and can I produce meaningful reports with ease?"On that score, I'd say YES. The amount of training required was minimal and the results were powerful.The desktop implementation is a simple, "blank" interface just waiting for your creativity. The pre-populated templates give you a reasonable start to any project -- and a good set of objects to "play around with" if you're just getting started.Finally, note that the "implementation" I used was baked into QuickBooks 2016 Enterprise -- called "Advanced Reporting"..... That integration makes it ultra useful and simple.
David Worrell profile photo

Alternatives Considered

Apache Spark

Spark in comparison to similar technologies ends up being a one stop shop. You can achieve so much with this one framework instead of having to stitch and weave multiple technologies from the Hadoop stack, all while getting incredibility performance, minimal boilerplate, and getting the ability to write your application in the language of your choosing.
No photo available

QlikView

We evaluated a lot of other products in the magic quadrant but primarily compared QV against Tableau. We initially wanted to go with Tableau because it was cheaper and a simpler product to learn and use but frankly, their sales person was horrible and was not willing to work with us on number of licences or price. Qlikview was a great alternative. The product was better and even though it was a little more expensive, the more flexible licensing arrangement made up for it
Suzan Liu profile photo

Return on Investment

Apache Spark

  • It has had a very positive impact, as it helps reduce the data processing time and thus helps us achieve our goals much faster.
  • Being easy to use, it allows us to adapt to the tool much faster than with others, which in turn allows us to access various data sources such as Hadoop, Apache Mesos, Kubernetes, independently or in the cloud. This makes it very useful.
  • It was very easy for me to use Apache Spark and learn it since I come from a background of Java and SQL, and it shares those basic principles and uses a very similar logic.
Carla Borges profile photo

QlikView

  • Generate quick reports for requirements that don't require complex calculations. ROI was fine, but Tableau software was much more intuitive for non-technical users on our team
  • When putting Qlikview reports side by side with Tableau, we ended up delivering Tableau reports since they were quicker to generate and required no technical expertise
Anthony Chou profile photo

Pricing Details

Apache Spark

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Apache Spark Editions & Modules

Additional Pricing Details

QlikView

General

Free Trial
Yes
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Yes
Entry-level set up fee?
Optional

QlikView Editions & Modules

Edition
QlikView DesktopFree1
QlikViewCustom2
  1. Personal Edition
  2. Per License
Additional Pricing Details
On an perpetual license basis, based on server plus number of users. Contact vendor for pricing.

Rating Summary

Likelihood to Recommend

Apache Spark
8.5
QlikView
7.7

Likelihood to Renew

Apache Spark
QlikView
8.8

Usability

Apache Spark
QlikView
9.8

Reliability and Availability

Apache Spark
QlikView
9.8

Performance

Apache Spark
QlikView
8.6

Support

Apache Spark
QlikView
2.1

Online Training

Apache Spark
QlikView
8.0

Implementation

Apache Spark
QlikView
7.4

Scalability

Apache Spark
QlikView
8.9

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