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Databricks vs Tableau 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
7.1
Tableau provides fast ROI through efficient reporting, quick user adoption, and cost savings, outperforming many other BI tools.
For a lot of different tasks, including machine learning, it is a nice solution.
When it comes to big data processing, I prefer Databricks over other solutions.
This saves a significant amount of time, particularly for reports that would have needed around fifty people.
The ROI of using Tableau extends to its seamless integration across various platforms, as it's from Salesforce and thus not limited to any specific cloud provider.
 

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
7.1
Tableau's support is praised for responsiveness, community resources, and Salesforce integration, despite occasional delay reports during peak times.
Whenever we reach out, they respond promptly.
They provide quick email and phone responses and have Thai-speaking personnel.
The technical support for Tableau is quite good.
I find Tableau's technical support to be good with elite support, but it struggles with usual, general support.
 

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
6.7
Tableau offers scalable solutions for handling large data, supporting various organizations, though very large datasets may present challenges.
The patches have sometimes caused issues leading to our jobs being paused for about six hours.
Tableau is easy to use across various dimensions, whether on-premises or on the cloud.
The solution is fully scalable and performs well even with large datasets, provided there is proper supporting hardware.
Tableau's data blending capabilities are an added feature.
 

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
7.4
Tableau is stable and reliable, excelling with simple data, but may slow with complex datasets; frequent updates enhance stability.
They release patches that sometimes break our code.
Cluster failure is one of the biggest weaknesses I notice in our Databricks.
I rate the stability a five or six because Tableau updates very often with new versions or patches.
 

Room For Improvement

Databricks users desire improved UI, enhanced data visualization, better integration, clearer error messages, robust support, and comprehensive documentation.
Tableau requires improvements in data handling, integration, affordability, enterprise features, and advanced analytics to enhance user experience.
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.
We use MLflow for managing MLOps, however, further improvement would be beneficial, especially for large language models and related tools.
We cannot send the entire Excel file reports via email within Tableau.
The product owner should enhance its benefits or clarify its role.
It sometimes requires extensive investigation to determine why the data does not appear correctly.
 

Setup Cost

Databricks pricing depends on usage, with flexibility in licensing, and can vary in competitiveness compared to other solutions.
Tableau's pricing is competitive but variable, supporting large enterprises better than smaller businesses, with limited bulk discounts.
Power BI as a much cheaper alternative.
The cost for viewer rights is around $60, but it can vary based on the business and is usually for a year.
Tableau is rated an eight because it is pretty expensive compared to alternatives like Power BI.
 

Valuable Features

Databricks provides a unified platform for data engineering, machine learning, seamless cloud integration, and robust data management capabilities.
Tableau offers powerful visualizations, easy integration, customization, geospatial support, and efficient data processing for real-time analytics.
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.
A significant feature for me is the real-time connection to data sources because it effectively manages large data sets.
Tableau serves as a stable dashboarding tool for higher management, aiding in quick decision-making.
Building hyper extracts and visualization capabilities make Tableau a robust tool for data analysis.
 

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)
Tableau
Average Rating
8.4
Reviews Sentiment
6.5
Number of Reviews
302
Ranking in other categories
BI (Business Intelligence) Tools (2nd), Reporting (2nd), Data Visualization (1st), Embedded BI (1st)
 

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.
Tableau, on the other hand, focuses on BI (Business Intelligence) Tools, holds 17.5% mindshare, down 19.1% since last year.
Cloud Data Warehouse
BI (Business Intelligence) Tools
 

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.
Nattawat Choosuwan - PeerSpot reviewer
Real-time data connection enhances workflow and decision-making process
An area for improvement in Tableau is the Explorer license type. It is not as useful, and the product owner should enhance its benefits or clarify its role. Additionally, the frequent updates with many versions available for download can be confusing and could affect stability. They should avoid providing access to older versions on their website.
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Comparison Review

it_user6330 - PeerSpot reviewer
May 2, 2013
MicroStrategy vs. Tableau
After a recent presentation, several attendees asked me about the applications of Visual Insights and Tableau. Many companies are investing in both tools and are trying to figure out the right tool for specific applications Tableau has found its sweet-spot as an agile discovery tool that analysts…
 

Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
10%
Manufacturing Company
9%
Healthcare Company
6%
Educational Organization
43%
Financial Services Firm
10%
Computer Software Company
6%
Manufacturing Company
6%
 

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...
Tableau vs. Business Objects - Which is a better solution for visualization and analysis?
Both tools have their positives and negatives. First, I should mention that I am relatively new to Tableau. I have been working on and off Tableau for about a year, but getting to work on it consta...
Which would you choose - Tableau or SAP Analytics Cloud?
Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies ...
 

Comparisons

 

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
Tableau Desktop, Tableau Server, Tableau Online
 

Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Accenture, Adobe, Amazon.com, Bank of America, Charles Schwab Corp, Citigroup, Coca-Cola Company, Cornell University, Dell, Deloitte, Duke University, eBay, Exxon Mobil, Fannie Mae, Ferrari, French Red Cross, Goldman Sachs, Google, Government of Canada, HP, Intel, Johns Hopkins Hospital, Macy's, Merck, The New York Times, PayPal, Pfizer, US Army, US Air Force, Skype, and Walmart.
Find out what your peers are saying about Databricks vs. Tableau and other solutions. Updated: April 2023.
848,716 professionals have used our research since 2012.