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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
6.6
Organizations experience mixed returns from Databricks, with benefits from cost savings and efficiency, but challenges in initial migration.
Sentiment score
6.4
Qlik Sense provides quick ROI through enhanced data access, improved decision-making, cost-effectiveness, and reduced manual efforts.
When it comes to big data processing, I prefer Databricks over other solutions.
For a lot of different tasks, including machine learning, it is a nice solution.
In my organization, we moved from OBI to Qlik Sense due to limitations with OBI, resulting in very high ROI.
 

Customer Service

Sentiment score
7.2
Databricks customer service is generally effective with prompt responses, though some report issues mainly with third-party support channels.
Sentiment score
6.6
Qlik Sense customer service is excellent, but technical support receives mixed reviews; users often rely on the community for help.
Whenever we reach out, they respond promptly.
While tech support is comprehensive, the stability of Qlik Sense means I generally do not need it.
In Turkey, the consultant firms are very professional, and they support you.
I think they lack in the support system.
 

Scalability Issues

Sentiment score
7.4
Databricks is praised for efficient scalability and cloud compatibility, allowing easy resource adjustment across diverse projects and industries.
Sentiment score
7.8
Qlik Sense excels in scalability, handling large data effortlessly, though licensing and integration issues may arise for some.
The patches have sometimes caused issues leading to our jobs being paused for about six hours.
It performs well in terms of performance and load compared to others.
It is extensible.
 

Stability Issues

Sentiment score
7.7
Databricks is stable and efficient for large data, with minor issues during updates and occasional connectivity challenges.
Sentiment score
7.8
Qlik Sense is reliable, with minimal issues and strong support, efficiently handling large data volumes and earning high ratings.
They release patches that sometimes break our code.
Cluster failure is one of the biggest weaknesses I notice in our Databricks.
The stability is very good.
 

Room For Improvement

Databricks users desire improved UI, enhanced data visualization, better integration, clearer error messages, robust support, and comprehensive documentation.
Users seek enhancements in Qlik Sense's integration, customization, analytics, and performance, alongside better interfaces, training, and collaboration features.
It would be beneficial to have utilities where code snippets are readily available.
Adjusting features like worker nodes and node utilization during cluster creation could mitigate these failures.
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.
Power BI has better visualizations and interactions with updates in 2023 that provide ease of use.
Providing an API feature to access data from the dashboard or QEDs could be beneficial.
Maybe more AI or real-time analytics could be incorporated.
 

Setup Cost

Databricks pricing depends on usage, with flexibility in licensing, and can vary in competitiveness compared to other solutions.
Enterprise users find Qlik Sense pricing competitive yet high, with flexible licensing models requiring careful negotiation for cost efficiency.
For small or large organizations needing many or few licenses, pricing varies.
Compared to Power BI, it is definitely costly.
Among the BI tools and data analytics tools, Qlik is the most expensive.
 

Valuable Features

Databricks provides a unified platform for data engineering, machine learning, seamless cloud integration, and robust data management capabilities.
Qlik Sense provides intuitive data visualization, rapid development, scalability, and customization with powerful analytics and seamless data integration.
Databricks' capability to process data in parallel enhances data processing speed.
The notebooks and the ability to share them with collaborators are valuable, as multiple developers can use a single cluster.
From an end-user perspective, it's convenient and performance-oriented, providing something meaningful from all the organization's data.
It is a single product that I can use as an ETL database, BI, and more.
It has an interactive interface with Qlik graphs, pivot, and interactivity, which makes it easier to use than other tools.
 

Categories and Ranking

Databricks
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
88
Ranking in other categories
Cloud Data Warehouse (7th), Data Science Platforms (1st), Streaming Analytics (1st)
Qlik Sense
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
118
Ranking in other categories
Data Visualization (2nd), Embedded BI (2nd)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 8.4%, up 3.2% compared to last year.
Qlik Sense, on the other hand, focuses on Data Visualization, holds 7.5% mindshare, down 10.1% since last year.
Cloud Data Warehouse
Data Visualization
 

Featured Reviews

ShubhamSharma7 - PeerSpot reviewer
Capability to integrate diverse coding languages in a single notebook greatly enhances workflow
Databricks offers various courses that I can use, whether it's PySpark, Scala, or R. I can leverage all these courses in a single notebook, which is beneficial for clients as they can access various tools in one place whenever needed. This is quite significant. I usually work with PySpark based on client requirements. After coding, I feed the Databricks notebooks into the ADF pipeline for updates. Databricks' capability to process data in parallel enhances data processing speed. Furthermore, I can connect our Databricks notebook directly with Power BI and other visualization tools like Qlik. Once we develop code, it allows us to transform raw data into visualizations for clients using analysis diagrams, which is very helpful.
Vishal_Goyal - PeerSpot reviewer
In-memory data storage boosts performance
The advantages compared to other BI tools show architectural differences. The main feature is that it keeps all the data in memory. It doesn't retrieve the data from data sources when I need it on the dashboard; instead, it quickly provides the desired data, making it very fast compared to other BI tools. The ROI is very high using Qlik Sense. It offers many benefits of BI. It is flexible from a developer's point of view, allowing me to accomplish many tasks compared to other BI tools. From an end-user perspective, it's convenient and performance-oriented, providing something meaningful from all the organization's data.
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
11%
Manufacturing Company
9%
Healthcare Company
6%
Educational Organization
60%
Financial Services Firm
8%
Computer Software Company
5%
Manufacturing Company
4%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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.
 

Comparisons

 

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
QlikSense
 

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.
842,767 professionals have used our research since 2012.