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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

"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."
"Databricks' capability to process data in parallel enhances data processing speed."
"The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes."
"The processing capacity is tremendous in the database."
"Its lightweight and fast processing are valuable."
"It helps integrate data science and machine learning capabilities."
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"
"The time travel feature is the solution's most valuable aspect."
"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 solution is simple for people from a viewing perspective, not a coding perspective."
"The most valuable feature I would say is the flexibility in editing."
 

Cons

"The solution could improve by providing better automation capabilities. For example, working together with more of a DevOps approach, such as continuous integration."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"The product should incorporate more learning aspects. It needs to have a free trial version that the team can practice."
"CI/CD needs additional leverage and support."
"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."
"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."
"The API deployment and model deployment are not easy on the Databricks side."
"If I want to create a Databricks account, I need to have a prior cloud account such as an AWS account or an Azure account. Only then can I create a Databricks account on the cloud. However, if they can make it so that I can still try Databricks even if I don't have a cloud account on AWS and Azure, it would be great. That is, it would be nice if it were possible to create a pseudo account and be provided with a free trial. It is very essential to creating a workforce on Databricks. For example, students or corporate staff can then explore and learn Databricks."
"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."
"Mode Analytics needs to improve the overall user experience."
"I think in terms of User Interface, I would say it can be better."
 

Pricing and Cost Advice

"The solution requires a subscription."
"I would rate the tool’s pricing an eight out of ten."
"I would rate Databricks' pricing seven out of ten."
"Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
"The billing of Databricks can be difficult and should improve."
"The price is okay. It's competitive."
"Databricks uses a price-per-use model, where you can use as much compute as you need."
"My smallest project is around a hundred euros, and my most expensive is just under a thousand euros a week. That is based on terabytes of data processed each month."
"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
17%
Computer Software Company
10%
Manufacturing Company
9%
Healthcare Company
6%
Computer Software Company
24%
Media Company
13%
Financial Services Firm
10%
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: April 2025.
848,716 professionals have used our research since 2012.