We performed a comparison between Dremio and Qlik Sense based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."We primarily use Dremio to create a data framework and a data queue."
"Everyone uses Dremio in my company; some use it only for the analytics function."
"Dremio gives you the ability to create services which do not require additional resources and sterilization."
"The most valuable feature of Dremio is it can sit on top of any other data storage, such as Amazon S3, Azure Data Factory, SGFS, or Hive. The memory competition is good. If you are running any kind of materialized view, you'd be running in memory."
"Dremio allows querying the files I have on my block storage or object storage."
"Dremio enables you to manage changes more effectively than any other data warehouse platform. There are two things that come into play. One is data lineage. If you are looking at data in Dremio, you may want to know the source and what happened to it along the way or how it may have been transformed in the data pipeline to get to the point where you're consuming it."
"There are a lot of features available in this solution, it has been very easy to use. We have found it to be less complex and user-friendly compared to other solutions we have used."
"On the fly questions can be answered with the "Qlik" of a button and drive forward discussions about policy, mission, and goals."
"The integration with R & Python for predictive modeling, and possibly machine learning in the future, is very valuable."
"Faster time to delivery utilizing useful charts and graphs, which allows for on-demand generation of analytical data in tables, graphs, and charts."
"The drag and drop functionality provides an easy and fast development approach."
"The GeoAnalytics paints such a clear picture. It provides a visual of our patient volume, giving us opportunities to see how we are trending in the surrounding cities, and making us more aware of locations that we need to focus more on."
"It offers good control. Loading the logs is also a good thing."
"Qlik was the first company to implement an in-memory associative analytics engine. This basically means that all data is loaded into memory, but it also means that instead of joining data together, the data is associated together. From the front end, from the UI point of view, data can be joined or included or excluded on the fly. It can be drilled down and drilled through and users can slice and dice it and that type of thing can be done from anywhere in the data to any other place in the data. It doesn't have to be predefined. It doesn't have to have hierarchies or anything like that."
"They have an automated tool for building SQL queries, so you don't need to know SQL. That interface works, but it could be more efficient in terms of the SQL generated from those things. It's going through some growing pains. There is so much value in tools like these for people with no SQL experience. Over time, Dermio will make these capabilities more accessible to users who aren't database people."
"It shows errors sometimes."
"Dremio takes a long time to execute large queries or the executing of correlated queries or nested queries. Additionally, the solution could improve if we could read data from the streaming pipelines or if it allowed us to create the ETL pipeline directly on top of it, similar to Snowflake."
"I cannot use the recursive common table expression (CTE) in Dremio because the support page says it's currently unsupported."
"We've faced a challenge with integrating Dremio and Databricks, specifically regarding authentication. It is not shaking hands very easily."
"Dremio doesn't support the Delta connector. Dremio writes the IT support for Delta, but the support isn't great. There is definitely room for improvement."
"As we are a very process-oriented company, we would like to see more extensions maintained from Qlik, because it's a huge budget problem to choose the right one."
"More pivot table options, like the ability to have the totals row at the bottom of the table, would be helpful."
"There is room for improvement in the storytelling mode and the report sharing. Qlik Sense also does not have a subscription base like Power BI. So a lot of the analysis is housed in community pages that are managed by either the author or a database administrator, or whoever the Qlik Sense manager is there."
"Right now, it is complex and you have to understand the data model prior to analyzing it, so basically I would like to see an integration with Excel in the future."
"I am starting to work with Qlik Sense SaaS these days. This environment has its own reporting service, however, one of the things that could be better for the people that are already using Nprinting, is to have a Nprinting in SaaS."
"Qlik Sense should have a conversion tool which automatically converts QlikView to Qlik Sense, so customers can easily migrate between the products of Qlik."
"Qlik has a fast learning curve due to great online training resources (Qlik continuous classroom), but those are lacking the advance features like building extensions and using the API."
"I wish the product had the ability for slightly more customization. The out-of-the box charts and visualizations are fantastic, but I want to be able to tweak it without having to add outside extensions and widgets."
Dremio is ranked 9th in Data Science Platforms with 6 reviews while Qlik Sense is ranked 2nd in Data Visualization with 112 reviews. Dremio is rated 8.6, while Qlik Sense is rated 8.6. The top reviewer of Dremio writes "It enables you to manage changes more effectively than any other platform". On the other hand, the top reviewer of Qlik Sense writes "Customizable with good ROI and a quick learning curve". Dremio is most compared with Databricks, Snowflake, Starburst Enterprise, Amazon Redshift and Microsoft Azure Synapse Analytics, whereas Qlik Sense is most compared with Tableau, Amazon QuickSight, Microsoft Power BI, Apache Superset and Alteryx.
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