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Databricks vs Qlik Sense comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

ROI

Sentiment score
6.4
Users experience mixed returns with Databricks, noting cost efficiency and scalability but facing challenges with measuring monetary gains.
Sentiment score
6.2
Qlik Sense delivers high ROI through faster decision-making, cost savings, and enhanced insights, boosting operations and revenue growth.
For a lot of different tasks, including machine learning, it is a nice solution.
Senior Data Engineer at a logistics company with 51-200 employees
When it comes to big data processing, I prefer Databricks over other solutions.
Head CEO at bizmetric
In my organization, we moved from OBI to Qlik Sense due to limitations with OBI, resulting in very high ROI.
Director Software Engineer at a computer software company with 10,001+ employees
 

Customer Service

Sentiment score
7.0
Databricks customer service is praised for prompt, professional support, though some report delays; documentation helps many users.
Sentiment score
5.4
Qlik Sense's customer service is praised for technical support, though response times vary, with community forums and partners being essential.
Whenever we reach out, they respond promptly.
Senior Data Engineer at a logistics company with 51-200 employees
As of now, we are raising issues and they are providing solutions without any problems.
Data Platform Architect at KELLANOVA
I rate the technical support as fine because they have levels of technical support available, especially partners who get really good support from Databricks on new features.
Data Engineer at CRAFT Tech
While tech support is comprehensive, the stability of Qlik Sense means I generally do not need it.
Director Software Engineer at a computer software company with 10,001+ employees
Technical support requires improvement.
Associate Director at a tech services company with 51-200 employees
In Turkey, the consultant firms are very professional, and they support you.
Business Intelligence Architect at a financial services firm with 5,001-10,000 employees
 

Scalability Issues

Sentiment score
7.4
Databricks is praised for its scalability, elasticity, and auto-scaling, providing high performance and flexibility across industries.
Sentiment score
7.7
Qlik Sense is praised for scalability, efficiently handling large data sets and users, but requires careful licensing and server management.
The sky's the limit with Databricks.
Governance And Engagement Lead
The patches have sometimes caused issues leading to our jobs being paused for about six hours.
Senior Data Engineer at a logistics company with 51-200 employees
Databricks is an easily scalable platform.
Data Platform Architect at KELLANOVA
It performs well in terms of performance and load compared to others.
Associate Director at a tech services company with 51-200 employees
Qlik Sense helps analyze data and can handle larger amounts of data compared to other BI tools.
Solution Architect at Predoole Analytics
It is easily scalable with Microsoft, with other services Azure and other tools they provide.
student at a educational organization with 1,001-5,000 employees
 

Stability Issues

Sentiment score
7.6
Databricks is highly rated for reliability and efficiency, with minor issues quickly resolved, boasting strong user stability scores.
Sentiment score
7.6
Qlik Sense is highly stable, with users praising its reliability, effective support, smooth upgrades, and robust functionality.
They release patches that sometimes break our code.
Senior Data Engineer at a logistics company with 51-200 employees
Although it is too early to definitively state the platform's stability, we have not encountered any issues so far.
Data Platform Architect at KELLANOVA
Databricks is definitely a very stable product and reliable.
Data Engineer at a tech vendor with 1,001-5,000 employees
The stability is very good.
Associate Director at a tech services company with 51-200 employees
 

Room For Improvement

Databricks needs better visualization, integration, clearer errors, UI enhancements, wider platform support, and improved documentation and usability.
Qlik Sense users seek better customization, real-time features, data handling, visualization, ease of use, cost efficiency, and improved support.
Adjusting features like worker nodes and node utilization during cluster creation could mitigate these failures.
Data Engineer at a engineering company with 1,001-5,000 employees
We prefer using a small to mid-sized cluster for many jobs to keep costs low, but this sometimes doesn't support our operations properly.
Senior Data Engineer at a logistics company with 51-200 employees
We use MLflow for managing MLOps, however, further improvement would be beneficial, especially for large language models and related tools.
Solution Architect at Mercedes-Benz AG
Power BI has better visualizations and interactions with updates in 2023 that provide ease of use.
Business Intelligence Architect at a financial services firm with 5,001-10,000 employees
Providing an API feature to access data from the dashboard or QEDs could be beneficial.
Director Software Engineer at a computer software company with 10,001+ employees
There should be more comprehensive documentation and explanatory videos available to help clients understand and calculate capacity-based pricing, making it easier to predict costs before implementing Qlik Sense Cloud.
Solution Architect at Predoole Analytics
 

Setup Cost

Databricks' pricing varies widely based on usage and data volume, making it cost-effective yet potentially expensive for large-scale use.
Qlik Sense offers flexible, albeit pricier, licensing options praised for easy setup and quick ROI, but requires careful cost analysis.
It is not a cheap solution.
Data Platform Architect at KELLANOVA
I believe that in terms of credits for Databricks, we're spending between £15,000 and £20,000 a month.
Governance And Engagement Lead
It is just about how expensive it is to implement.
student at a educational organization with 1,001-5,000 employees
Compared to Power BI, it is definitely costly.
Associate Director at a tech services company with 51-200 employees
Among the BI tools and data analytics tools, Qlik is the most expensive.
Business Intelligence Architect at a financial services firm with 5,001-10,000 employees
 

Valuable Features

Databricks excels in ease of use, scalability, integration, and data governance, enhancing productivity and collaboration for data engineering.
Qlik Sense provides intuitive dashboard creation, seamless integration, and robust data handling with powerful analytics and flexible development capabilities.
Databricks' capability to process data in parallel enhances data processing speed.
Data Engineer at a engineering company with 1,001-5,000 employees
The platform allows us to leverage cloud advantages effectively, enhancing our AI and ML projects.
Data Platform Architect at KELLANOVA
The Unity Catalog is for data governance, and the Delta Lake is to build the lakehouse.
Data Engineer at CRAFT Tech
From an end-user perspective, it's convenient and performance-oriented, providing something meaningful from all the organization's data.
Director Software Engineer at a computer software company with 10,001+ employees
The true power is in the ability to connect with any database, get the data, and work with the data.
Director at a consultancy with 1,001-5,000 employees
It is a single product that I can use as an ETL database, BI, and more.
Associate Director at a tech services company with 51-200 employees
 

Categories and Ranking

Databricks
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
92
Ranking in other categories
Cloud Data Warehouse (9th), Data Science Platforms (1st), Data Management Platforms (DMP) (5th), Streaming Analytics (1st)
Qlik Sense
Average Rating
8.6
Reviews Sentiment
6.3
Number of Reviews
125
Ranking in other categories
Data Visualization (4th), Embedded BI (2nd), AI Data Analysis (16th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 9.2%, up 6.7% compared to last year.
Qlik Sense, on the other hand, focuses on Data Visualization, holds 5.6% mindshare, down 7.7% since last year.
Cloud Data Warehouse Market Share Distribution
ProductMarket Share (%)
Databricks9.2%
Snowflake16.1%
Teradata8.5%
Other66.2%
Cloud Data Warehouse
Data Visualization Market Share Distribution
ProductMarket Share (%)
Qlik Sense5.6%
Tableau Enterprise11.3%
Apache Superset5.5%
Other77.6%
Data Visualization
 

Featured Reviews

SimonRobinson - PeerSpot reviewer
Governance And Engagement Lead
Improved data governance has enabled sensitive data tracking but cost management still needs work
I believe we could improve Databricks integration with cloud service providers. The impact of our current integration has not been particularly good, and it's becoming very expensive for us. The inefficiencies in our implementation, such as not shutting down warehouses when they're not in use or reserving the right number of credits, have led to increased costs. We made several beginner mistakes, such as not taking advantage of incremental loading and running overly complicated queries all the time. We should be using ETL tools to help us instead of doing it directly in Databricks. We need more experienced professionals to manage Databricks effectively, as it's not as forgiving as other platforms such as Snowflake. I think introducing customer repositories would facilitate easier implementation with Databricks.
SW
Solution Architect at Predoole Analytics
Unlocks actionable insights through user-friendly analysis features
The self-service capabilities that Qlik Sense offers are significant. They offer natural language processing, allowing users to ask questions in layman language, and Qlik Sense will create charts and narratives automatically. Users can access any dashboard developed in Qlik Sense from familiar portals such as Okta or other company portals through embedding features. The integration with chatbots, particularly Microsoft Teams, allows users to access dashboards and ask questions directly within Teams. The collaboration feature enables users to share analysis by taking snapshots and tagging team members within the Qlik Sense interface, eliminating the need for lengthy emails or screenshots. The storytelling feature allows users to create presentations directly in Qlik Sense using dashboard analysis, making it easier to answer questions during meetings. The subscription feature enables users to receive charts and sheets via email instead of navigating to the dashboard, facilitating monitoring purposes. Qlik Sense offers alerting capabilities where users can set thresholds for KPIs and receive notifications when these thresholds are reached. The platform also includes AI/ML features for predictive modeling through a no-code component, allowing business users to create and deploy AutoML models without depending on data scientists. The Qlik Answers component, featuring generative AI capability, enables users to get answers from unstructured data including Excel, HTML documents, or Microsoft Word documents by creating a knowledge base. The user-friendly interface operates on a drag-and-drop approach, with Qlik Sense suggesting appropriate charts based on selected dimensions and measures. The associative engine capabilities allow data association between tables, implementing selections across related tables. The platform uses a color-coding system (white, gray, and dark gray) to show related, excluded, and unrelated data selections, providing insights beyond traditional BI tools.
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
9%
Healthcare Company
6%
Financial Services Firm
18%
Manufacturing Company
10%
Computer Software Company
8%
Government
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business25
Midsize Enterprise12
Large Enterprise56
By reviewers
Company SizeCount
Small Business34
Midsize Enterprise40
Large Enterprise87
 

Questions from the Community

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 Python. It offers many different cluster choices and excellent integration with ...
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 designed to accelerate innovation projects. It is based on Spark so it is very fast. It...
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 analytics teams that have to interpret data to further the business goals of their orga...
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 Sense, Power BI, OBIEE, Tableau, etc. I have recently started using Cognos Enter...
Seeking lightweight open source BI software
There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I would recommend as follows: 1) If you have legacies of SAP, Oracle - look for SAP...
What do you like most about Qlik Sense?
The most valuable features of Qlik Sense are its speed and seamless development of web technologies.
 

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
QlikSense, Qlik Analytics Platform
 

Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Abbvie, Airbus, Barclays, BT Openreach, BMW, Daimler AG, HSBC, IKEA, Nationwide Building Society, Royal Mail Group, Sanofi, Siemens, Wendy'', Vodafone, Volvo
Find out what your peers are saying about Databricks vs. Qlik Sense and other solutions. Updated: May 2023.
881,114 professionals have used our research since 2012.