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Databricks vs Mode Analytics 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
88
Ranking in other categories
Cloud Data Warehouse (7th), Data Science Platforms (1st), Streaming Analytics (1st)
Mode Analytics
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
4
Ranking in other categories
BI (Business Intelligence) Tools (24th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 8.4%, up 3.2% compared to last year.
Mode Analytics, on the other hand, focuses on BI (Business Intelligence) Tools, holds 0.4% mindshare, up 0.3% since last year.
Cloud Data Warehouse
BI (Business Intelligence) Tools
 

Featured Reviews

ShubhamSharma7 - PeerSpot reviewer
Capability to integrate diverse coding languages in a single notebook greatly enhances workflow
Databricks offers various courses that I can use, whether it's PySpark, Scala, or R. I can leverage all these courses in a single notebook, which is beneficial for clients as they can access various tools in one place whenever needed. This is quite significant. I usually work with PySpark based on client requirements. After coding, I feed the Databricks notebooks into the ADF pipeline for updates. Databricks' capability to process data in parallel enhances data processing speed. Furthermore, I can connect our Databricks notebook directly with Power BI and other visualization tools like Qlik. Once we develop code, it allows us to transform raw data into visualizations for clients using analysis diagrams, which is very helpful.
Yoeri Samwel - PeerSpot reviewer
Helps to run Python-based scripts but needs enhancement in user experience
The most important feature of the solution is the ability to run Python-based scripts.  Mode Analytics needs to improve the overall user experience.  I have been working with the solution for two years.  I rate the solution's stability a ten out of ten.  I rate the tool's scalability a seven…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The solution is easy to use and has a quick start-up time due to being on the cloud."
"It helps integrate data science and machine learning capabilities."
"Databricks allows me to automate the creation of a cluster, optimized for machine learning and construct AI machine learning models for the client."
"Databricks serves as a single platform for conducting the entire end-to-end lifecycle of machine learning models or AI ops."
"Databricks is a robust solution for big data processing, offering flexibility and powerful features."
"The solution is very simple and stable."
"I would rate them ten out of ten."
"Having one solution for everything, from data engineering to machine learning, is beneficial since everything comes under one hood."
"The most valuable feature I would say is the flexibility in editing."
"The most important feature of the solution is the ability to run Python-based scripts."
"The tool helps to catch results and review them."
"The solution is simple for people from a viewing perspective, not a coding perspective."
 

Cons

"Implementation of Databricks is still very code heavy."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"The interface of Databricks could be easier to use when compared to other solutions. It is not easy for non-data scientists. The user interface is important before we had to write code manually and as solutions move to "No code AI" it is critical that the interface is very good."
"Instead of relying on a massive instance, the solution should offer micro partition levels. They're working on it, however, they need to implement it to help the solution run more effectively."
"It would be very helpful if Databricks could integrate with platforms in addition to Azure."
"The biggest problem associated with the product is that it is quite pricey."
"Databricks doesn't offer the use of Python scripts by itself and is not connected to GitHub repositories or anything similar. This is something that is missing. if they could integrate with Git tools it would be an advantage."
"The Databricks cluster can be improved."
"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."
"I think in terms of User Interface, I would say it can be better."
"The solution could run faster."
"Mode Analytics needs to improve the overall user experience."
 

Pricing and Cost Advice

"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."
"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."
"I rate the price of Databricks as eight out of ten."
"I would rate the tool’s pricing an eight out of ten."
"The licensing costs of Databricks depend on how many licenses we need, depending on which Databricks provides a lot of discounts."
"The cost is around $600,000 for 50 users."
"It is an expensive tool. The licensing model is a pay-as-you-go one."
"The price is okay. It's competitive."
"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
17%
Computer Software Company
11%
Manufacturing Company
9%
Healthcare Company
6%
Computer Software Company
24%
Media Company
13%
Financial Services Firm
11%
Manufacturing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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 do you like most about Mode Analytics?
The solution is simple for people from a viewing perspective, not a coding perspective.
What needs improvement with Mode Analytics?
The solution could run faster. You just sit there, waiting during the load times, especially for the large ones. And if you're doing a presentation, no one likes awkwardly waiting for it to load. L...
What is your primary use case for Mode Analytics?
I was put in charge of creating a lot of the dashboards, so it was very much that there weren't people at the company that knew how to use the solution. I was just handed the solution when I transf...
 

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, Google and others in Cloud Data Warehouse. Updated: March 2025.
845,406 professionals have used our research since 2012.