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Databricks vs Mode Enterprise comparison

Why PeerSpot?
 

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:
 

Categories and Ranking

Databricks
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
94
Ranking in other categories
Cloud Data Warehouse (4th), Data Science Platforms (1st), Data Management Platforms (DMP) (3rd), Streaming Analytics (1st)
Mode Enterprise
Average Rating
7.2
Reviews Sentiment
4.5
Number of Reviews
7
Ranking in other categories
BI (Business Intelligence) Tools (32nd)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 9.5%, up 8.7% compared to last year.
Mode Enterprise, on the other hand, focuses on BI (Business Intelligence) Tools, holds 0.9% mindshare, up 0.5% since last year.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Databricks9.5%
Snowflake15.4%
Teradata8.9%
Other66.2%
Cloud Data Warehouse
BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
Mode Enterprise0.9%
Microsoft Power BI7.1%
Tableau Enterprise5.8%
Other86.2%
BI (Business Intelligence) Tools
 

Featured Reviews

SimonRobinson - PeerSpot reviewer
Governance And Engagement Lead
Improved data governance has enabled sensitive data tracking but cost management still needs work
I believe we could improve Databricks integration with cloud service providers. The impact of our current integration has not been particularly good, and it's becoming very expensive for us. The inefficiencies in our implementation, such as not shutting down warehouses when they're not in use or reserving the right number of credits, have led to increased costs. We made several beginner mistakes, such as not taking advantage of incremental loading and running overly complicated queries all the time. We should be using ETL tools to help us instead of doing it directly in Databricks. We need more experienced professionals to manage Databricks effectively, as it's not as forgiving as other platforms such as Snowflake. I think introducing customer repositories would facilitate easier implementation with Databricks.
Shivkumar Targude - PeerSpot reviewer
Senior Software Engineer at a tech services company with 1,001-5,000 employees
Custom cohort dashboards have transformed customer tracking but still need richer built‑in visuals
From my perspective, adding more custom visualizations as inbuilt features would be greatly beneficial for developers and other teams. For specific visualizations, we currently need to use Python and JavaScript combinations to create great visualizations such as cohort analysis. If these visualizations were added by default to Mode Enterprise, it would be beneficial for all of us. There are common visualizations that are not currently in Mode Enterprise but should be added. There are advantages and disadvantages to the current state. The advantages mainly include the ability to combine all datasets, which definitely reduces time. Because Python and JavaScript are supported, we can develop cohort dashboards, which many other BI tools do not support. Mode Enterprise supports cohort dashboards, which is a significant advantage.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Databricks is scalable, it operates three times faster than any of the other ecosystems which we have experimented on."
"We can scale the product."
"What I like about Databricks is that it's one of the most popular platforms that give access to folks who are trying not just to do exploratory work on the data but also go ahead and build advanced modeling and machine learning on top of that."
"Databricks has a scalable Spark cluster creation process, and the creators of Databricks are also the creators of Spark, and they are the industry leaders in terms of performance."
"I think what I value is more about the technology itself because you don't need to have too much knowledge to be able to use the solution."
"It offers AI functionalities that assist with code management and machine learning processes."
"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"The fast data loading process and data storage capabilities are great."
"The tool helps to catch results and review them."
"I have used many other BI tools, but when I compare other BI tools with Mode Enterprise, I find it more interesting because it supports Amazon Redshift and cloud-related technology as well as some static-related technology, and it also supports customization through coding with JavaScript and Python."
"The most valuable feature I would say is the flexibility in editing."
"The most important feature of the solution is the ability to run Python-based scripts."
"Mode Enterprise positively impacted my organization with its clean visualization and slightly faster response times."
"Mode Enterprise has positively impacted my organization by making data analysis and reporting much faster."
"The solution is simple for people from a viewing perspective, not a coding perspective."
 

Cons

"However, the platform could become easier to use."
"Databricks' technical support takes a while to respond and could be improved."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"Data governance should be addressed. We have some trouble connecting all the governance solutions with Databricks, which means the integrative capabilities are problematic."
"Anyone who doesn't know SQL may find the product difficult to work with."
"The initial setup of Databricks could be complex."
"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."
"I would love an integration in my desktop IDE. For now, I have to code on their webpage."
"From my perspective, adding more custom visualizations as inbuilt features would be greatly beneficial for developers and other teams."
"I think in terms of User Interface, I would say it can be better."
"The solution could run faster."
"Mode Enterprise can be improved by reducing the cost, as I think the enterprise version is much costlier."
"The data visualization is cumbersome in Mode Analytics. I want the solution to add a map that has an easy interface. The UI is slow sometimes."
"Mode Analytics needs to improve the overall user experience."
"When I talk about improving Mode Enterprise, I would specifically like to address the need for easier drag-and-drop report creation, better self-service analysis for non-SQL queries, and improved sharing collaboration."
 

Pricing and Cost Advice

"The billing of Databricks can be difficult and should improve."
"The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."
"The solution is affordable."
"It is an expensive tool. The licensing model is a pay-as-you-go one."
"I would rate Databricks' pricing seven out of ten."
"The licensing costs of Databricks depend on how many licenses we need, depending on which Databricks provides a lot of discounts."
"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
"My smallest project is around a hundred euros, and my most expensive is just under a thousand euros a week. That is based on terabytes of data processed each month."
"My decision-maker found the pricing expensive, but it is okay for me."
"The pricing is per user."
"Mode Analytics is cheap compared to other tools."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
10%
Computer Software Company
6%
Healthcare Company
6%
Construction Company
18%
Comms Service Provider
11%
Computer Software Company
9%
Outsourcing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business26
Midsize Enterprise12
Large Enterprise60
By reviewers
Company SizeCount
Small Business3
Large Enterprise4
 

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 needs improvement with Mode Analytics?
When I talk about improving Mode Enterprise, I would specifically like to address the need for easier drag-and-drop report creation, better self-service analysis for non-SQL queries, and improved s...
What is your primary use case for Mode Analytics?
My main use case for Mode Enterprise is querying and analyzing business data using SQL, where I create reports and dashboards that support ad hoc analysis and decision making. A specific example of...
What advice do you have for others considering Mode Analytics?
On a scale of one to ten, I would rate Mode Enterprise as a seven. I chose seven out of ten because my experience is mostly positive, but there are a few things that can be fixed, and I believe tha...
 

Comparisons

 

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
No data available
 

Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Lyft, Zenefits, Twitch, Trello, Clover, Grovo, CrowdFlower, Segment, Everlane, Pocket, Highfive
Find out what your peers are saying about Snowflake Computing, Teradata, Google and others in Cloud Data Warehouse. Updated: September 2026.
913,806 professionals have used our research since 2012.