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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

"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."
"Databricks is a scalable solution. It is the largest advantage of the solution."
"Databricks is hosted on the cloud. It is very easy to collaborate with other team members who are working on it. It is production-ready code, and scheduling the jobs is easy."
"Databricks integrates well with other solutions."
"Databricks has a Unified Catalog that assists with secured access and governance."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"The main features of the solution are efficiency."
"Databricks' most valuable features are the workspace and notebooks. Its integration, interface, and documentation are also good."
"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."
"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."
 

Cons

"The solution could improve by providing better automation capabilities. For example, working together with more of a DevOps approach, such as continuous integration."
"I think setting up the whole account for one person and giving access are areas that can be difficult to manage and should be made a little easier."
"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."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"The initial setup is difficult."
"I believe that this product could be improved by becoming more user-friendly."
"There has been a significant evolution in databases. One area of improvement is the Databricks File System (DBFS), where command-line challenges arise when accessing files."
"I would like it if Databricks made it easier to set up a project."
"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 Analytics needs to improve the overall user experience."
"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."
"Mode Enterprise can be improved by reducing the cost, as I think the enterprise version is much costlier."
 

Pricing and Cost Advice

"We only pay for the Azure compute behind the solution."
"The basic version of this solution is now open-source, so there are no license costs involved. However, there is a charge for any advanced functionality and this can be quite expensive."
"The product pricing is moderate."
"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
"The pricing depends on the usage itself."
"There are different versions."
"Databricks uses a price-per-use model, where you can use as much compute as you need."
"The price is okay. It's competitive."
"The pricing is per user."
"Mode Analytics is cheap compared to other tools."
"My decision-maker found the pricing expensive, but it is okay for me."
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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.