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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
94
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 9.4%, up 8.6% 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 (%)
Databricks9.4%
Snowflake15.3%
Teradata9.1%
Other66.19999999999999%
Cloud Data Warehouse
BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
Mode Enterprise0.9%
Microsoft Power BI7.6%
Tableau Enterprise6.3%
Other85.2%
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

"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."
"Databricks is a unified solution that we can use for streaming. It is supporting open source languages, which are cloud-agnostic. When I do database coding if any other tool has a similar language pack to Excel or SQL, I can use the same knowledge, limiting the need to learn new things. It supports a lot of Python libraries where I can use some very easily."
"Databricks tech support has been great every time I've dealt with them, and their team is highly knowledgeable."
"I work in the data science field and I found Databricks to be very useful."
"The initial setup phase of Databricks was good."
"The tool helps with data processing and analytics with large-scale data or big data since it is associated with managing data at a large scale."
"The features of Databricks have impacted my organization positively, as it has done so very efficiently since we switched from several platforms to using this one."
"Databricks is a unified platform that provides features like streaming and batch processing so all the data scientists, analysts, and engineers can collaborate on a single platform and it has all the features you need, so you don't need to go for any other tool."
"The solution is simple for people from a viewing perspective, not a coding perspective."
"Mode Enterprise has positively impacted my organization by making data analysis and reporting much faster."
"Mode Enterprise positively impacted my organization with its clean visualization and slightly faster response times."
"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 tool helps to catch results and review them."
"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."
 

Cons

"Data governance should be addressed. We have some trouble connecting all the governance solutions with Databricks, which means the integrative capabilities are problematic."
"One area of improvement is the Databricks File System (DBFS), where command-line challenges arise when accessing files. Standardization of file paths on the system could help, as engineers sometimes struggle."
"Databricks is still having some stability issues."
"The connectivity with various BI tools could be improved, specifically the performance and real time integration."
"The integration features could be more interesting, more involved."
"It would be better if it were faster. It can be slow, and it can be super fast for big data."
"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 cost of this solution is high, on the expensive side."
"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."
"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."
"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."
 

Pricing and Cost Advice

"Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
"The solution requires a subscription."
"Databricks are not costly when compared with other solutions' prices."
"I would rate Databricks' pricing seven out of ten."
"The licensing costs of Databricks depend on how many licenses we need, depending on which Databricks provides a lot of discounts."
"We only pay for the Azure compute behind the solution."
"We have only incurred the cost of our AWS cloud services. This is because during this period, Databricks provided us with an extended evaluation period, and we have not spent much money yet. We are just starting to incur costs this month, I will know more later on the full cost perspective."
"There are different versions."
"My decision-maker found the pricing expensive, but it is okay for me."
"The pricing is per user."
"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%
Outsourcing Company
6%
Healthcare Company
6%
Construction Company
18%
Comms Service Provider
11%
Outsourcing Company
9%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business26
Midsize Enterprise12
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: September 2026.
917,433 professionals have used our research since 2012.