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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
95
Ranking in other categories
Cloud Data Warehouse (3rd), 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 (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 9.3%, up 8.8% compared to last year.
Mode Enterprise, on the other hand, focuses on BI (Business Intelligence) Tools, holds 1.0% mindshare, up 0.6% since last year.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Databricks9.3%
Snowflake15.4%
Teradata9.2%
Other66.1%
Cloud Data Warehouse
BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
Mode Enterprise1.0%
Microsoft Power BI7.6%
Tableau Enterprise6.5%
Other84.9%
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

"I haven't heard about any major stability issues. At this time I feel like it's stable."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"Of the available feature set, I like the Imageflow feature a lot."
"The fast data loading process and data storage capabilities are great."
"We chose Databricks because the processing power was better and it was a better fit for our use case."
"I like the simplicity and ease of use."
"It's very simple to use Databricks Apache Spark."
"Stability of the product is good, whether it's handling large volumes, diverse elements of data or processing data at speed."
"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."
"Mode Enterprise has positively impacted my organization by making data analysis and reporting much faster."
"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 solution is simple for people from a viewing perspective, not a coding perspective."
 

Cons

"There would also be benefits if more options were available for workers, or the clusters of the two points."
"I believe that this product could be improved by becoming more user-friendly."
"However, the platform could become easier to use."
"From a purely technical perspective, I would rate Databricks an eight out of ten. However, there is a failure in terms of user adoption."
"The integration features could be more interesting, more involved."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"The integration of data could be a bit better."
"I think the automatic categorization of variables needs to be improved; the current functionality is not always efficiently identifying the features of the data that is collected."
"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."
"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."
"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."
"Mode Analytics needs to improve the overall user experience."
 

Pricing and Cost Advice

"There are different versions."
"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."
"Databricks are not costly when compared with other solutions' prices."
"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."
"Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful."
"We pay as we go, so there isn't a fixed price. It's charged by the unit. I don't have any details detail about how they measure this, but it should be a mix between processing and quantity of data handled. We run a simulation based on our use cases, which gives us an estimate. We've been monitoring this, and the costs have met our expectations."
"The solution is a good value for batch processing and huge workloads."
"I rate the price of Databricks as eight out of ten."
"Mode Analytics is cheap compared to other tools."
"My decision-maker found the pricing expensive, but it is okay for me."
"The pricing is per user."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
10%
Outsourcing Company
6%
Healthcare Company
6%
Construction Company
18%
Comms Service Provider
12%
Outsourcing Company
11%
Financial Services Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business26
Midsize Enterprise14
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, Google, Databricks and others in Cloud Data Warehouse. Updated: October 2026.
920,769 professionals have used our research since 2012.