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Amazon QuickSight vs Databricks 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
6.5
Amazon QuickSight offers cost-effective returns with time savings, robust security, but ROI varies based on company usage efficiency.
Sentiment score
6.6
Organizations experience mixed returns from Databricks, with benefits from cost savings and efficiency, but challenges in initial migration.
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.
 

Customer Service

Sentiment score
6.6
Amazon QuickSight’s customer service experiences vary, with some praising fast support and others relying on useful documentation.
Sentiment score
7.2
Databricks customer service is generally effective with prompt responses, though some report issues mainly with third-party support channels.
Whenever we reach out, they respond promptly.
 

Scalability Issues

Sentiment score
6.8
Amazon QuickSight is scalable but faces performance issues with large datasets, requiring careful setup for optimal performance.
Sentiment score
7.4
Databricks is praised for efficient scalability and cloud compatibility, allowing easy resource adjustment across diverse projects and industries.
The patches have sometimes caused issues leading to our jobs being paused for about six hours.
 

Stability Issues

Sentiment score
7.4
Amazon QuickSight is stable and reliable, yet less mature than Tableau or Power BI, with minor functionality challenges.
Sentiment score
7.7
Databricks is stable and efficient for large data, with minor issues during updates and occasional connectivity challenges.
They release patches that sometimes break our code.
Cluster failure is one of the biggest weaknesses I notice in our Databricks.
 

Room For Improvement

Amazon QuickSight needs improvements in cost, integration, user-friendliness, features, and compatibility for enhanced competitiveness and usability.
Databricks users desire improved UI, enhanced data visualization, better integration, clearer error messages, robust support, and comprehensive documentation.
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.
 

Setup Cost

Amazon QuickSight offers variable cost-effective pricing, requiring careful configuration to manage usage expenses compared to competitors like Power BI.
Databricks pricing depends on usage, with flexibility in licensing, and can vary in competitiveness compared to other solutions.
It is not expensive, but it is also not cheap.
 

Valuable Features

Amazon QuickSight is favored for its ease of use, AWS integration, affordability, and powerful data visualization and security features.
Databricks provides a unified platform for data engineering, machine learning, seamless cloud integration, and robust data management capabilities.
The natural language query is very important, and natural language processing is crucial for disseminating dashboards across multiple formats and mechanisms.
Databricks' capability to process data in parallel enhances data processing speed.
Developers can share their notebooks. Git and Azure DevOps integration on the Databricks side is also very helpful.
 

Categories and Ranking

Amazon QuickSight
Average Rating
7.2
Reviews Sentiment
7.3
Number of Reviews
29
Ranking in other categories
BI (Business Intelligence) Tools (3rd)
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)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Amazon QuickSight is designed for BI (Business Intelligence) Tools and holds a mindshare of 7.1%, down 11.0% compared to last year.
Databricks, on the other hand, focuses on Cloud Data Warehouse, holds 7.8% mindshare, up 2.9% since last year.
BI (Business Intelligence) Tools
Cloud Data Warehouse
 

Featured Reviews

Mohd Farhan - PeerSpot reviewer
Has seamless data filtering and visualization for client satisfaction
One area for improvement is the cost, as it's a bit expensive. The caching mechanism also charges too much if I need to cache any data. Sometimes it takes time to display data, suggesting a need for enhancement in data visualization speed. Additionally, the role-level security is challenging to implement, and it could be improved to allow access control per department more easily.
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
13%
Manufacturing Company
9%
Government
7%
Financial Services Firm
17%
Computer Software Company
11%
Manufacturing Company
9%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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?
Amazon QuickSight charges $250 per user, which becomes expensive when managing multiple departments. However, this cost is offset by the advantages it provides.
What needs improvement with Amazon QuickSight?
One area for improvement is the cost, as it's a bit expensive. The caching mechanism also charges too much if I need to cache any data. Sometimes it takes time to display data, suggesting a need fo...
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...
 

Comparisons

 

Also Known As

QuickSight
Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
 

Overview

 

Sample Customers

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: February 2025.
841,152 professionals have used our research since 2012.