IBM Analytics Engine vs. QlikView

We are at present utilizing IBM Analytics Engine and it works incredible. Following are the things that I like the most about this product is:- - Simple to Utilize - Reasonable Cost - With only a couple seconds you can ready to fabricate and convey groups - you can without much of a stretch break down information through different applications

Incentivized

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.

Incentivized

• We are able to build and deploy clusters within minutes to simplify user experience and increase scalability and reliability.
• We are able to scale and compute on-demand to handle newer workloads like machine learning.
• We really like that we are able to access and administer the application via multiple interfaces.

Incentivized

• QlikView has a simple, relational data model that's REALLY fast. Filtering and changing data is dead simple results are almost immediately available.
• The free version of Qlikview is almost completely featured, so you roll a pro-level product out to an entire department for really cheap.
• QlikView is really flexible--if you can imagine it, you can build it.

Incentivized

• I would like to see a more robust version of their online help
• The speed of their business support is adequate, but I kind of expect more from such a powerhouse.
• Problems with duration of cluster life

Incentivized

• 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.

Incentivized

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.

Incentivized

I do think there is a steep learning curve to the program and that it requires a high level of experience or a data scientist background to fully take advantage and implement dashboards, and users will require ongoing training to maximize ROI, but it is absolutely worth it considering the impact it can make on an organization.

Incentivized

QlikView server is very stable, with minimal errors and rare outages.

Incentivized

The scripting option gives me options to connect to different databases with ease

Incentivized

The documentation presented by QlikView is very clear and exact. This makes the process of implementation more easy. If any questions arise while creating the reports it is very easy to access the QlikView documents through the internet. QlikView also has a Qlik Community, full of different questions and answers. This helps a lot to resolve issues even without contacting the support team.

Incentivized

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.

It has taken some time to get used to Qlikview and the backend team behind it. From understanding the new regulations on using less images and also pushing for more tools (such as full compatibility on desktop, laptop, ipad, phone). We were given training on this and have helpful tips to find analytics behind Qlikview but it is very much also a learn as you implement system.

Incentivized

• I have been using Azure for my previous analysis, I had a difficult time in understanding the Analytics engine rather IBM provided step by step tutorial for setup.
• Also turning off a machine was not an option in Azure for some of the services so I had to pay for the service whether I use it or not

Incentivized

With QlikView and Qlik Sense the users can answer their own questions more interactively. They also can build their own visualizations without waiting [for] someone from IT to create a new report. The users can navigate through the data finding out relevant information. Through QlikView color code, users can get aware of the relationship between the different data points.

Incentivized

• It has saved us quite a bit of time managing our catalog of clusters and keeping things organized.
• Since we had a division we acquired running IBM Cloud, it was easy to get it running and try it out, but we found we prefer our Azure configuration better simply to keep our technology in alignment across corporate functions.
• I definitely see some cost savings by separating out the storage and compute. It helps you start to put an appropriate price tag on certain instances of big data.

Incentivized

• Speed to market is the really big thing. You can attach to multiple data sources quickly and build a consumable model for a dashboard. It doesn’t require IT talent to build. We have built more dashboards and added more users in the last year, then in our entire history. I was at a company of 30k+ employees before, and we didn't have near this level of BI adoption.
• As a result, we are seeing benefits across business function. For example, within sales, our pipeline has much more visibility. It allows for much faster decisions on things like quotas. One of our biggest power users is in sales ops. She feels her dashboards load 10x faster than our previous tool and she can make changes on the fly.