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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 (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 (29th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 10.2%, up 9.0% 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 (%)
Databricks10.2%
Snowflake14.9%
Teradata8.8%
Other66.1%
Cloud Data Warehouse
BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
Mode Enterprise0.9%
Microsoft Power BI8.1%
Tableau Enterprise6.2%
Other84.8%
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

"It is a cost-effective solution."
"I don't think you can find any other tool or any other service that is faster than Databricks."
"It has allowed our data engineers, data scientists, and analysts to collaborate and work on the same platform."
"Databricks has improved my organization by allowing us to transform data from sources to a different format and feed that to the analytics, business intelligence, and reporting teams. This tool makes it easy to do those kinds of things."
"The most valuable feature is the versatility of the ecosystem."
"Compared to other companies, they offer great support to their clients."
"The solution is an impressive tool for data migration and integration."
"Databricks is a truly essential platform for data engineering needs, and I recommend it to anyone looking to advance in the data engineering field."
"Mode Enterprise positively impacted my organization with its clean visualization and slightly faster response times."
"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."
"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 solution is simple for people from a viewing perspective, not a coding perspective."
 

Cons

"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"Data governance should be addressed. We have some trouble connecting all the governance solutions with Databricks, which means the integrative capabilities are problematic."
"The solution is not exactly stable. We've faced a few bugs which have really affected it, especially when it comes to connecting with Spark."
"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."
"Databricks has added some alerts and query functionality into their SQL persona, but the whole SQL persona, which is like a role, needs a lot of development. The alerts are not very flexible, and the query interface itself is not as polished as the notebook interface that is used through the data science and machine learning persona. It is clunky at present."
"The product cannot be integrated with a popular coding IDE."
"The initial setup of Databricks could be complex."
"I have seen better user interfaces, so that is something that can be improved."
"Mode Analytics needs to improve the overall user experience."
"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."
"The solution could run faster."
"From my perspective, adding more custom visualizations as inbuilt features would be greatly beneficial for developers and other teams."
"Mode Enterprise can be improved by reducing the cost, as I think the enterprise version is much costlier."
"I think in terms of User Interface, I would say it can be better."
 

Pricing and Cost Advice

"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."
"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."
"We only pay for the Azure compute behind the solution."
"Databricks are not costly when compared with other solutions' prices."
"We implement this solution on behalf of our customers who have their own Azure subscription and they pay for Databricks themselves. The pricing is more expensive if you have large volumes of data."
"The solution is a good value for batch processing and huge workloads."
"I would rate Databricks' pricing seven out of ten."
"I rate the price of Databricks as eight out of ten."
"My decision-maker found the pricing expensive, but it is okay for me."
"Mode Analytics is cheap compared to other tools."
"The pricing is per user."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
7%
Healthcare Company
5%
Construction Company
14%
Media Company
11%
Computer Software Company
9%
Financial Services Firm
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business27
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, Teradata, Google and others in Cloud Data Warehouse. Updated: May 2026.
893,221 professionals have used our research since 2012.