Displayr is a survey data discovery and visualization tool, with free tools for publishing dashboards, reports and infographics (e.g. charts, and graphs) to the web or other repositories for sharing and demonstration, as well as support for analysis of large datasets (more than 1,000 rows and 100 column) on paid plans.
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IBM Analytics Engine
Score 7.2 out of 10
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IBM BigInsights is an analytics and data visualization tool leveraging hadoop.
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QlikView
Score 8.2 out of 10
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QlikView® is Qlik®’s original BI offering designed primarily for shared business intelligence reports and data visualizations. It offers guided exploration and discovery, collaborative analytics for sharing insight, and agile development and deployment.
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Pricing
Displayr
IBM Analytics Engine
QlikView
Editions & Modules
No answers on this topic
No answers on this topic
QlikView
Custom
per user
Offerings
Pricing Offerings
Displayr
IBM Analytics Engine
QlikView
Free Trial
No
No
Yes
Free/Freemium Version
No
No
No
Premium Consulting/Integration Services
No
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Optional
Additional Details
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On an perpetual license basis, based on server plus number of users.
Contact vendor for pricing.
More Pricing Information
Community Pulse
Displayr
IBM Analytics Engine
QlikView
Features
Displayr
IBM Analytics Engine
QlikView
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Displayr
8.8
1 Ratings
12% above category average
IBM Analytics Engine
-
Ratings
QlikView
8.1
67 Ratings
1% above category average
Drill-down analysis
9.01 Ratings
00 Ratings
8.366 Ratings
Formatting capabilities
8.01 Ratings
00 Ratings
7.767 Ratings
Integration with R or other statistical packages
10.01 Ratings
00 Ratings
8.336 Ratings
Report sharing and collaboration
8.01 Ratings
00 Ratings
8.362 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Displayr
10.0
1 Ratings
20% above category average
IBM Analytics Engine
-
Ratings
QlikView
8.6
62 Ratings
4% above category average
Publish to Web
10.01 Ratings
00 Ratings
8.049 Ratings
Publish to PDF
10.01 Ratings
00 Ratings
9.056 Ratings
Report Versioning
10.01 Ratings
00 Ratings
7.542 Ratings
Report Delivery Scheduling
00 Ratings
00 Ratings
10.048 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Displayr is perfectly suited for any insights or data people that understand the type of analysis they want to do, but don't know R code - or just want to get to results more quickly than coding themselves. It's probably not the best learning ground, if you've never done any quantitative analysis before, but then neither are traditional tools like SPSS or Q.
Well suited for my big data related project or a static data set analysis especially for uploading huge dataset to the cluster.
But had some issues with connecting IoT real-time data and feeding to Power BI. It might be my understanding please take it as a mere comment rather than a suggestion.
Sales data validations have helped manage our justifications in the past, especially with regard to new product development and new business introduction. It has also been helpful in identifying trends with business impact and direction specific to quarter and monthly sales from ERP data as well as decisions to purchase equipment of staffing based on run rates and product demand.
One thing that can get out of hand is data output - if you aren't careful in your query, you may be overloaded with data dumps and drown in the amount of info you have to filter through. This is a user caution, not a comment on the software itself.
The intuitive interface and menus make it easy to quickly learn Displayr and find the types of data transformation or analysis that we're looking to do.
The support level from Displayr's team is FIRST CLASS. Where othe platforms force you to an FAQ or AI chat bot, Displayr's team will jump in first hand, into our data, or on a live call, and help us run a new type of analysis or troubleshoot a problem.
The ability to work collaboratively, asynchronously and remotely, on the same data set and report is a really huge plus for us.
The in-built options for multivariate analysis cover 99.9% of anything we have - or will - ever need to run.
The new "glow-up" on the interface has helped make it a bit easier on the eye, but there are some features of working in the "three pane" browser that are a bit frustrating: especially having to 'rearrange' when resizing the window to look at another app simultaneously.
Such a small point, but being able to drag and move multiple elements in a table (eg drag two rows to the top) SIMULTANEOUSLY would help a bunch.
I don't think we take advantage of all the visualisation capabilities in Displayr, and perhaps an AI 'recommendation' engine that sees the data I'm working with and prompts either a specific visualisation, or additional analysis option I might use, would be great.
Easier pricing and plug-and-play like you see with AWS and Azure, it would be nice from a budgeting and billing standpoint, as well as better support for the administration.
Bundling of the Cloud Object Storage should be included with the Analytics Engine.
The inability to add your own Hadoop stack components has made some transfers a little more complex.
We found that QlikView can be a bit slow in supporting some forms of encryption. It is web-based and we needed to upgrade all of our server to not support the older SSL and TLS 1 protocols, only support TLS 1.2 and TLS 1.3. However, QlikView could not run with TLS 1.2 and TLS 1.3. We had to wait over six months to get a version that would handle the newer TLS versions.
There are so many options with QlikView that you can get lost when developing a visualization. There are still items I have not yet figured out, such as labeling a graph with the name of a selected detail item.
QlikView works by pulling the data it is going to use for visualization into its database. I am a security reviewer and I need to make certain that PII and PHI is not pulled by QlikView for a visualization, otherwise this could become a reportable indecent.
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.
It's really quite intuitive, but the visual interface could be made a bit more easy to use (window/pane rescaling etc) and I think there could be more 'proactive prompts' to suggest features we're underutilising.
QlikView is very easy to implement. The installation is very straight forward. QlikView has several different data connectors that can connect to different data sources very smoothly. The user interface to build the reports is very easy to understand. This helps to have a smaller learning curve. Something very helpful is that QlikView is a browser application for the end users. So, you don't need to install any applications on the user's computer.
My experience with the Qlik support team has been somewhat limited, but every interaction I have had with them has been very professional and I received a response quickly. Typically if there is a technical issue, our IT team will follow up. My inquiries are specific to product functionality, and Qlik has been very helpful in clarifying any questions I might have.
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.
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.
"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.
SPSS (the last version I looked at) still requires much more underlying knowledge and coding ability to get where we want to be. That's not where we add value, so the speed and simplicity with which Displayr allows us to get the data analysis done, and move onto developing insight and delivering value is why I chose Displayr.
We initially wanted to go with Google BigQuery, mainly for the name recognition. However, the pricing and support structure led us to seek alternatives, which pointed us to IBM. Apache Spark was also in the running, but here IBM's domination in the industry made the choice a no-brainer. As previously stated, the support received was not quite what we expected, but was adequate.
The only other vendor product that I have worked with that provides a similar experience to Qlikview is Tableau. I would recommend Tableau if your use case is to build a fixed dashboard. You can share reports for free without needing to buy additional licenses. I would recommend Qlikview if your users are looking for a more interactive experience. They can create new objects to represent the data which can't be accomplished as easily in Tableau
I think Displayr is quite expensive, but has the biggest impact on our P&L of any of our subscriptions, because it has unlocked our ability to deliver bigger, more complex analytic projects for clients - and hence grow our topline.
The ability to scale the license between years has also been a god-send as our team has gone up or down to deliver the level of quant work available to us.
There's also a bottom line efficiency driven by some of the speed of analysis that Displayr enables.
This product has allowed us to gather analytics data across multiple platforms so we can view and analyze the data from different workflows, all in one place.
IBM Analytics has allowed us to scale on demand which allows us to capture more and more data, thus increasing our ROI.
The convenience of the ability to access and administer the product via multiple interfaces has allowed our administrators to ensure that the application is making a positive ROI for our business users and partners.
You can use the free desktop version to do a lot of reporting and analysis work more quickly so the ROI is huge
QlikView is great at finding outliers such as data entry errors
QlikView is great at helping you quickly discover new insights about your business that can prompt you to take action that can immediately affect your cash flow.