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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
Databricks offers cost savings, scalability, and efficiency in data processing, though measuring direct financial benefits can be challenging.
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 praised for quick, helpful responses despite some communication issues; many benefit from comprehensive support.
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 its scalability and flexibility, despite potential cost concerns, making it highly rated overall.
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 highly stable and reliable, with some issues, particularly effective on Azure with quick resolution for disruptions.
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 seek enhanced visualizations, integration, documentation, ease of use, data compatibility, and improved analytics efficiency with trial options.
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 varies with usage and cluster size, seen as costly or comparable to competitors, with flexible options.
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 offers intuitive UI, scalability, and versatile integration, enabling efficient data analytics and machine learning across cloud platforms.
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
Data Science Platforms (1st), Streaming Analytics (1st)
 

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.
Parag Bhosale - PeerSpot reviewer
Integrating engineering and learning, but cost challenges arise with cluster management
We often use a single cluster to ingest Databricks, which Databricks doesn't recommend. They suggest using a no-cluster solution like job clusters. This can be overwhelming for us because we started smaller. 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. We need to stay in sync with the DVR versions, and migrations can pose challenges. For example, issues arose when we moved a cluster from a previous version to the latest one. We could use their job clusters, however, that increases costs, which is challenging for us as a startup. Maintaining this infrastructure can be a headache.
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
14%
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
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