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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
93
Ranking in other categories
Cloud Data Warehouse (9th), 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 (30th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 10.0%, up 7.2% compared to last year.
Mode Enterprise, on the other hand, focuses on BI (Business Intelligence) Tools, holds 1.0% mindshare, up 0.4% since last year.
Cloud Data Warehouse Market Share Distribution
ProductMarket Share (%)
Databricks10.0%
Snowflake15.9%
Teradata8.4%
Other65.7%
Cloud Data Warehouse
BI (Business Intelligence) Tools Market Share Distribution
ProductMarket Share (%)
Mode Enterprise1.0%
Microsoft Power BI8.9%
Tableau Enterprise6.2%
Other83.9%
BI (Business Intelligence) Tools
 

Featured Reviews

Satyam Wagh - PeerSpot reviewer
Consultant at Nice Software Solutions
Unified data workflows have cut ticket processing times and are driving faster business insights
Databricks already provides monthly updates and continuously works on delivering new features while enhancing existing ones. However, the platform could become easier to use. While instruction-led workshops are available, offering more free instructional workshops would allow a wider audience to access and learn about Databricks. Additionally, providing use cases would help beginners gain more knowledge and hands-on experience. Regarding my experience, I was initially unfamiliar with the platform and had to conduct research and learn through various videos. I did find some instruction-led classes, but several of those required payment. The platform should provide more free resources to enable a broader audience to access and learn about Databricks. The platform itself is user-friendly and easy to use without complex issues, so I believe it does not need improvement in its core functionality. Rather, supporting aspects can be enhanced.
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

"The initial setup phase of Databricks was good."
"The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"The time travel feature is the solution's most valuable aspect."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"The most valuable feature of Databricks is the notebook, data factory, and ease of use."
"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 is definitely a very stable product and reliable."
"The most valuable feature I would say is the flexibility in editing."
"Mode Enterprise positively impacted my organization with its clean visualization and slightly faster response times."
"The tool helps to catch results and review them."
"The solution is simple for people from a viewing perspective, not a coding perspective."
"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 important feature of the solution is the ability to run Python-based scripts."
 

Cons

"I would like to see the integration between Databricks and MLflow improved. It is quite hard to train multiple models in parallel in the distributed fashions. You hit rate limits on the clients very fast."
"The Databricks cluster can be improved."
"In the next release, I would like to see more optimization features."
"It would be better if it were faster. It can be slow, and it can be super fast for big data. But for small data, sometimes there is a sub-second response, which can be considered slow. In the next release, I would like to have automatic creation of APIs because they don't have it at the moment, and I spend a lot of time building them."
"Pricing is one of the things that could be improved."
"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."
"CI/CD needs additional leverage and support."
"When I used the support, I had communication problems because of the language barrier with the agent. The accent was difficult to understand."
"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 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."
"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."
 

Pricing and Cost Advice

"Databricks is a very expensive solution. Pricing is an area that could definitely be improved. They could provide a lower end compute and probably reduce the price."
"The solution is a good value for batch processing and huge workloads."
"The price is okay. It's competitive."
"Databricks uses a price-per-use model, where you can use as much compute as you need."
"The licensing costs of Databricks is a tiered licensing regime, so it is flexible."
"The licensing costs of Databricks depend on how many licenses we need, depending on which Databricks provides a lot of discounts."
"The solution is based on a licensing model."
"There are different versions."
"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
18%
Manufacturing Company
9%
Computer Software Company
8%
Healthcare Company
6%
Media Company
13%
Manufacturing Company
11%
Computer Software Company
10%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business26
Midsize Enterprise12
Large Enterprise56
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, Microsoft, Teradata and others in Cloud Data Warehouse. Updated: January 2026.
881,707 professionals have used our research since 2012.