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Databricks vs Domo 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 benefit from Databricks' cost-effectiveness and efficiency, though some find evaluating immediate gains challenging due to specific contexts.
Sentiment score
5.7
Domo enhances efficiency, decision-making, and revenue growth, though some face limited returns due to high costs or underutilization.
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.
If you're actually using Domo at a very limited case and you're being charged $20,000, we've seen ROI there, but once it goes really high, you really need to check your metrics and check your profit.
 

Customer Service

Sentiment score
7.1
Databricks customer service is praised for responsiveness and expertise, despite occasional delays and communication issues via Microsoft.
Sentiment score
6.7
Domo's customer and technical support is generally praised but needs improvement in responsiveness, especially for complex issues.
Whenever we reach out, they respond promptly.
As of now, we are raising issues and they are providing solutions without any problems.
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.
No matter how complex the problem is, it can be taken care of by the support team.
They were quite professional and in around three to five working days, they had identified where they suspected there was an issue and I was able to fix it.
It's very easy to get technical support from Domo.
 

Scalability Issues

Sentiment score
7.4
Databricks provides excellent scalability, supporting diverse data sizes and sectors with high-performance cloud infrastructure and cost-effective management.
Sentiment score
6.2
Domo supports large-scale data and user roles, but some users experience technical challenges with ETL processes and storage limits.
The patches have sometimes caused issues leading to our jobs being paused for about six hours.
Databricks is an easily scalable platform.
I would rate the scalability of this solution as very high, about nine out of ten.
The fact that you're able to easily identify the pipelines or flows that have errors, and it notifies you when you're building a pipeline where you can run previews and tell where to fix issues, is helpful.
When fetching files larger than 100 MB from SFTP or any other portal, Domo becomes slow due to the heavy file size.
Everything comes under the same umbrella and it's pretty user-friendly.
 

Stability Issues

Sentiment score
7.7
Databricks is stable and reliable, with high performance and robustness, despite occasional minor issues resolved quickly.
Sentiment score
6.6
Domo is praised for reliable data handling, minimal downtime, and efficiency, though some encounter occasional server connectivity issues.
They release patches that sometimes break our code.
Although it is too early to definitively state the platform's stability, we have not encountered any issues so far.
Databricks is definitely a very stable product and reliable.
In recent years, I haven't had such cases. It's quite stable and I don't have any reservations on its stability.
In terms of overall stability of the platform, it's very stable.
During that time, we faced issues from the project side as Domo was not visible in our portal.
 

Room For Improvement

Databricks users desire advanced visualization, better integration, enhanced documentation, predictive analytics features, and improved user experience and tools.
Domo users face data management and integration challenges, need better visualization, real-time processing, and improved UI and collaboration features.
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.
End users require a license to run their own reports and dashboards, which are fairly expensive.
Some technical aspects such as Beast Mode calculation could be improved in Domo, as it would provide more clarity and help in giving insights to clients or customer business team requirements.
One of the areas where we've had frustrations with Domo is the aesthetics. The aesthetics are quite limited compared to other BI tools such as Tableau and Power BI.
 

Setup Cost

Databricks' pricing is seen as high for large data volumes but competitive for batch processing on cloud platforms.
Domo's pricing is higher but seen as valuable for its features, with flexible models and negotiable terms encouraged.
It is not a cheap solution.
Domo's pricing is high compared to other BI tools, and it is costly.
For long-time users, it can become expensive, but the trade-off is access to the entire platform instead of licensing different components separately.
They quoted approximately one dollar per KB.
 

Valuable Features

Databricks simplifies large-scale analytics with user-friendly UI, powerful integrations, and scalable features for enhanced performance and collaboration.
Domo is praised for ease of use, data integration, real-time insights, and collaboration, enhancing data accessibility for non-technical users.
Databricks' capability to process data in parallel enhances data processing speed.
The platform allows us to leverage cloud advantages effectively, enhancing our AI and ML projects.
The Unity Catalog is for data governance, and the Delta Lake is to build the lakehouse.
App Studio is valuable because it allows all the customization we needed; we can decode it, with the view and grid which are all I need, drill-downs, and everything can be done the way I need it.
None of the other tools provide the kind of support that enables chatting and working on the same item simultaneously.
I have been using it for four years and have been able to extract the information I need from it.
 

Categories and Ranking

Databricks
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
91
Ranking in other categories
Cloud Data Warehouse (9th), Data Science Platforms (1st), Streaming Analytics (1st)
Domo
Average Rating
7.8
Reviews Sentiment
6.5
Number of Reviews
47
Ranking in other categories
Data Integration (24th), BI (Business Intelligence) Tools (6th), Business Performance Management (10th), Reporting (8th), Data Visualization (7th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 8.3%, up 5.9% compared to last year.
Domo, on the other hand, focuses on BI (Business Intelligence) Tools, holds 3.9% mindshare, down 6.6% since last year.
Cloud Data Warehouse Market Share Distribution
ProductMarket Share (%)
Databricks8.3%
Snowflake17.7%
Dremio8.9%
Other65.1%
Cloud Data Warehouse
BI (Business Intelligence) Tools Market Share Distribution
ProductMarket Share (%)
Domo3.9%
Microsoft Power BI14.1%
Tableau Enterprise10.3%
Other71.7%
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.
Dave Ramos - PeerSpot reviewer
Has enabled me to integrate AI workflows and drive self-service analytics across organizations
There's room for improvement in their focus on enterprise clients. As a small business owner, there's nothing as powerful as Domo available for smaller organizations. I understand it's a business focus for them as they're looking to expand in that direction, but there's an opportunity to capture the SMB market by creating more capabilities. It's not necessarily about technical capabilities, but rather pricing that's geared towards the small business market. Capability-wise, it's very robust. If I had to stretch, I would suggest more integrations to other common tools, such as Zapier and operational tools like Mailchimp, where you can build and extend ETL in a no-code environment. While there are capabilities you can build from Domo's open APIs, having more native integrations in a no-code, low-code environment would be beneficial. Domo has many native integrations, but better tools for the SMB operational pipeline would be valuable.
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
9%
Manufacturing Company
9%
Healthcare Company
6%
University
12%
Computer Software Company
11%
Financial Services Firm
9%
Manufacturing Company
7%
 

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 Business16
Midsize Enterprise12
Large Enterprise20
 

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...
What do you like most about Domo?
All our client SLAs and daily and weekly dashboards are tracked on Domo.
What is your experience regarding pricing and costs for Domo?
The pricing of Domo is too high. Six months ago, Domo increased their prices. We suffered because we could not maintain the old data in the old data set in Domo. We are creating multiple backups on...
What needs improvement with Domo?
The downsides of Domo are that we don't have a feature in the same column. When data comes in a time format, text format, and number format, we cannot segregate and create conditional formatting in...
 

Comparisons

 

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
corda
 

Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Capco, SABMiller, Stance, eBay, Sage North America, Goodwill Industries of Central Indiana, Telus, The Cliffs, OGIO International Inc., and many more!
Find out what your peers are saying about Databricks vs. Domo and other solutions. Updated: January 2021.
872,655 professionals have used our research since 2012.