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Amazon QuickSight vs Databricks comparison

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Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

IBM Cognos
Sponsored
Average Rating
8.0
Number of Reviews
134
Ranking in other categories
BI (Business Intelligence) Tools (7th), Reporting (4th)
Amazon QuickSight
Average Rating
7.2
Reviews Sentiment
7.6
Number of Reviews
27
Ranking in other categories
BI (Business Intelligence) Tools (3rd)
Databricks
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
84
Ranking in other categories
Data Science Platforms (1st), Streaming Analytics (1st)
 

Mindshare comparison

BI (Business Intelligence) Tools
Data Science Platforms
 

Featured Reviews

Carlos Larrad Salgado - PeerSpot reviewer
Improved the quality of our KPIs, while reducing calls to the IT department
I don't like that when we use Colab packages, we get less functionality. For example, you can make groups of data with Excel or with the data sets from the packages, but when you use the Colab packages directly, you can only group the data when you analyze it with Analysis Studio. I think Cognos needs to improve more on this functionality. The user experience is also very important. Cognos is not very easy to understand sometimes, especially when they change the layout but keep the functionality the same. The help is not very graphic and they have no examples. Cognos has to make a big effort to help with understanding the functionality by improving the documentation. There is a lot of documentation, but the examples are hard to find and they should make their help section easier to understand for non-technical users.
Anoop Jose - PeerSpot reviewer
Helpful for visualization purposes but delayed drill-downs feature
Compared to Power BI, I felt QuickSight lacks some features, like delayed drill-downs. Drill-downs were the main area where we found QuickSight lacking. Especially for root cause analysis, the ability to drill down from a high-level problem to its root is crucial. Aside from that, QuickSight is a good service.
Dunstan Matekenya - PeerSpot reviewer
Process large-scale data sets and integrates with Apache Spark with notebook environment
Databricks integrates natively with Apache Spark, which I use as a processing engine for large-scale datasets. This native integration is one of its strengths. Another strength is that the platform makes it very easy to manage resources. For example, setting up a cluster of five or fifteen nodes is straightforward with Databricks. The notebook environment is also excellent, making it easy to perform various tasks.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Security administration tools are powerful and flexible."
"For planning, forecasting, in-boxing, modeling in general and for predicting numbers and doing work analysis, they are excellent."
"One of the strong suits of Cognos is its robust corporate reporting capability."
"Stability-wise, I rate the solution a ten out of ten."
"Integration with Office can enable the 'download' mode of storytelling.​"
"When it comes to decision-making, the product is very useful and used in many departments since a lot of people prefer the reports to be generated by IBM Cognos."
"Cognos' most valuable features are the bundled studios, simple UI, and advanced features like the ability to create data modules."
"IBM Cognos is an excellent solution for tax, planning, budgeting, profit and loss statements and balance sheets."
"The graph charts, pie charts, and box plots are valuable."
"Easily able to connect with our other services and easy to manage."
"It is notably fast in handling large data set refreshes, making it efficient for data analysis."
"I like that with Amazon QuickSight, you don't need to install an app to use its services. With other BI tools, you need to install the app, so Amazon QuickSight is better for me in this area."
"Compared to other reporting tools, it is very effective but does require an understanding of certain concepts in QuickSight. This understanding is crucial for creating dimensions, changing metrics, and visualizing reports."
"A valuable feature of Amazon QuickSight is that it's a cloud-native service provided by AWS. As all platforms within my company run on AWS, that's the leverage of Amazon QuickSight. Amazon QuickSight is also easy to use, and I find the native connectors from AWS valuable as well."
"Amazon QuickSight has introduced a new functionality called Q bar, which allows the user to do natural language queries and get additional insights using some built-in generative capabilities."
"It works well with the AWS ecosystem."
"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."
"The most valuable feature of Databricks is the notebook, data factory, and ease of use."
"The most valuable feature of Databricks is the integration of the data warehouse and data lake, and the development of the lake house. Additionally, it integrates well with Spark for processing data in production."
"The ability to stream data and the windowing feature are valuable."
"The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"The integration with Python and the notebooks really helps."
"The fast data loading process and data storage capabilities are great."
 

Cons

"The data uploads that we do, such as Excel files, have a lot of restrictions. If we can make it a bit more user-friendly, allowing us to have more flexibility it would be a great help."
"They were lacking in the initial phases of development in the area of big data, and they still need to improve that aspect of the product."
"The solution's support could be better."
"IBM Cognos's error messages seem to be a bit ambiguous. An error will be encountered and a message will be sent out very ambiguous and after investigating the error message it could be any number of issues. There was never a direct answer to the question or a direct answer to the error messages. Sometimes it would be a generic error message for 21 different solutions. It wasn't very specific, which required a lot of digging around and trial and error trying to fix the problem. The messaging in their error messaging is something needing improvement."
"The charts and graphics are weak."
"There are a lot of limitations with the out-of-the-box tool."
"Need improvement towards Visualization."
"Extending dynamic cubes aggregate awareness with calculated measures."
"The product is quite expensive because the price is too close to QlikView's prices but it does not ring as well as QlikView."
"Amazon QuickSight has minimal features. The feature set can be improved to allow you to create good production-ready dashboards. This does not happen with QuickSite, it needs to mature to be used in production."
"There should be better connectors for different data sets."
"The number of features in the product is limited in comparison with the other tools in the market, like Power BI."
"It's not ideal for reports that are more complex."
"The solution must be more user-friendly."
"Lacked connectivity with other third-party tools and data sources."
"It should support integration with Python or R."
"There would also be benefits if more options were available for workers, or the clusters of the two points."
"There should be better integration with other platforms."
"I would like it if Databricks adopted an interface more like R Studio. When I create a data frame or a table, R Studio provides a preview of the data. In R Studio, I can see that it created a table with so many columns or rows. Then I can click on it and open a preview of that data."
"The interface of Databricks could be easier to use when compared to other solutions. It is not easy for non-data scientists. The user interface is important before we had to write code manually and as solutions move to "No code AI" it is critical that the interface is very good."
"Databricks has a lack of debuggers, and it would be good to see more components."
"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."
"A lot of people are required to manage this solution."
"There are no direct connectors — they are very limited."
 

Pricing and Cost Advice

"IBM Cognos offers competitive pricing similar to other BI vendors in the market."
"It is pretty expensive."
"IBM Cognos price is on the higher side of the spectrum. However, with the features that it brings, such as correlation analysis, it's worth the money. They should look at the pricing more clearly because it's a little on the higher side."
"There is some additional licensing that we needed to purchase because we were touching data outside of our core data platform. The cost was approximately $25,000 for the additional licenses, which were approximate 45 licenses. For the application itself, updates, and the core platform it was approximately $50,000. Giving a total cost of $75,000 annually for our usage of IBM Cognos."
"Cognos is super expensive compared to Tableau ($70/month) and Power BI ($20/month) — I think Cognos is roughly $200 a month."
"There is need to assess the purchase license accordingly so as to avoid audit penalties."
"The pricing of this product is meant for medium to large-scale enterprises."
"I rate the product price as four or five on a scale from one to ten, where one is a low price, and ten is a high price."
"I'm using a paid version of Amazon QuickSight, paying about $22 monthly. As I have yet to learn about the pricing for other tools, such as Power BI, I won't be able to compare."
"The pricing is cost-effective with a good plan."
"It is simpler and cheaper than other solutions."
"The solution's pricing is cheaper than the other products in the market."
"The product pricing is better than other vendors."
"I wouldn't say that it is an expensive product, but to stay competitive they would need to bring down the prices."
"A highly affordable cost structure with fixed membership and timeframe basis options."
"The solution is not affordable."
"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
"We pay as we go, so there isn't a fixed price. It's charged by the unit. I don't have any details detail about how they measure this, but it should be a mix between processing and quantity of data handled. We run a simulation based on our use cases, which gives us an estimate. We've been monitoring this, and the costs have met our expectations."
"Databricks is a very expensive solution. Pricing is an area that could definitely be improved. They could provide a lower end compute and probably reduce the price."
"Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful."
"Databricks uses a price-per-use model, where you can use as much compute as you need."
"The pricing depends on the usage itself."
"Databricks' cost could be improved."
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Top Industries

By visitors reading reviews
Educational Organization
55%
Financial Services Firm
7%
Computer Software Company
4%
Government
4%
Financial Services Firm
15%
Computer Software Company
14%
Manufacturing Company
9%
Government
6%
Financial Services Firm
16%
Computer Software Company
11%
Manufacturing Company
9%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Seeking lightweight open source BI software
It depends on the Data architecture and the complexity of your requirement. Some great tools in the market are Qlik ...
What do you like most about IBM Cognos?
The solution's most valuable feature is its ease of use, which makes it easily compatible with other tools.
What needs improvement with IBM Cognos?
I need improvements, particularly with the Framework Manager, which has an outdated user interface from older version...
What do you like most about Amazon QuickSight?
The integration is very seamless. We stored our result CSV files in S3 and connected directly from there.
What is your experience regarding pricing and costs for Amazon QuickSight?
QuickSight is considered cost-effective. As far as I know, QuickSight is cheaper compared to other solutions like Pow...
What needs improvement with Amazon QuickSight?
QuickSight needs to add more visuals similar to what Power BI offers. I have noticed that many drill-down visuals and...
Which do you prefer - Databricks or Azure Machine Learning Studio?
Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or ...
How would you compare Databricks vs Amazon SageMaker?
We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designe...
Which would you choose - Databricks or Azure Stream Analytics?
Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analyti...
 

Also Known As

Cognos, Cognos Analytics, IBM Cognos Analytics
QuickSight
Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
 

Overview

 

Sample Customers

More than 23,000 leading organizations across multiple industries use Cognos. Some examples of Cognos customers include BMW Financial Services, Quinte Health Care, Troy Corporation, Michigan State University, and GKN Land System.
MLB Advanced Media, Infor, HotelBeds, Gemini, Jivochat, Edmunds.com
Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Find out what your peers are saying about Microsoft, Salesforce, Amazon Web Services (AWS) and others in BI (Business Intelligence) Tools. Updated: December 2024.
824,053 professionals have used our research since 2012.