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Databricks vs Mode Enterprise 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:
 

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) (5th), Streaming Analytics (1st)
Mode Enterprise
Average Rating
7.4
Reviews Sentiment
4.8
Number of Reviews
6
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 8.9% 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%
Snowflake15.3%
Teradata8.7%
Other66.5%
Cloud Data Warehouse
BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
Mode Enterprise0.9%
Microsoft Power BI7.4%
Tableau Enterprise5.9%
Other85.8%
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 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."
"Databricks helps crunch petabytes of data in a very short period of time for data scientists or business analysts, helping with fraud analysis, finance, projections, and more, which is exactly the purpose of big data and analytics."
"We have the ability to scale, collaborate and do machine learning."
"The time travel feature is the solution's most valuable aspect."
"Specifically for data science and data analytics purposes, it can handle large amounts of data in less time. I can compare it with Teradata. If a job takes five hours with Teradata databases, Databricks can complete it in around three to three and a half hours."
"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job, so you can create a robust solution by working together with other professionals."
"The Delta Lake data type has been the most useful part of this solution. Delta Lake is an opensource data type and it was implemented and invented by Databricks."
"The solution is an impressive tool for data migration and integration."
"The most important feature of the solution is the ability to run Python-based scripts."
"The tool helps to catch results and review them."
"Mode Enterprise positively impacted my organization with its clean visualization and slightly faster response times."
"The solution is simple for people from a viewing perspective, not a coding perspective."
"The most valuable feature I would say is the flexibility in editing."
"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."
 

Cons

"Scalability is an area with certain shortcomings. The solution's scalability needs improvement."
"Anyone who doesn't know SQL may find the product difficult to work with."
"The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets."
"The solution could improve by providing better automation capabilities. For example, working together with more of a DevOps approach, such as continuous integration."
"A couple of times I faced an issue where a long-running process was consuming a lot of time and then stopped abruptly."
"Databricks could improve in some of its functionality."
"Can be improved by including drag-and-drop features."
"Costs can quickly add up if you don't plan for it."
"The solution could run faster."
"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."
"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."
"Mode Enterprise can be improved by reducing the cost, as I think the enterprise version is much costlier."
"Mode Analytics needs to improve the overall user experience."
 

Pricing and Cost Advice

"The billing of Databricks can be difficult and should improve."
"The price of Databricks is reasonable compared to other solutions."
"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."
"I would rate Databricks' pricing seven out of ten."
"The pricing depends on the usage itself."
"The licensing costs of Databricks is a tiered licensing regime, so it is flexible."
"The solution requires a subscription."
"The solution is based on a licensing model."
"The pricing is per user."
"My decision-maker found the pricing expensive, but it is okay for me."
"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%
Computer Software Company
9%
Comms Service Provider
8%
Financial Services Firm
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business26
Midsize Enterprise12
Large Enterprise58
No data available
 

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?
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 a...
What is your primary use case for Mode Analytics?
Mode Enterprise is being used for dashboard purposes only, specifically for custom dashboards. For the e-commerce domain, we use Mode Enterprise to track customers, such as finding out a customer's...
What advice do you have for others considering Mode Analytics?
Regarding licensing, I cannot provide detailed information on that topic. However, I can say that Power BI is open-source. If Mode Enterprise were provided as open-source, more people could start u...
 

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: July 2026.
908,834 professionals have used our research since 2012.