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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
90
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 8.8%, up 3.7% compared to last year.
Mode Analytics, on the other hand, focuses on BI (Business Intelligence) Tools, holds 0.5% 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

"We can scale the product."
"We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"The most valuable feature of Databricks is the integration of the data warehouse and data lake, and the development of the lake house. Additionally, it integrates well with Spark for processing data in production."
"Databricks allows me to automate the creation of a cluster, optimized for machine learning and construct AI machine learning models for the client."
"The most valuable feature of Databricks is the notebook, data factory, and ease of use."
"The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient."
"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."
"The most important feature of the solution is the ability to run Python-based scripts."
"The tool helps to catch results and review them."
 

Cons

"The integration of data could be a bit better."
"They release patches that sometimes break our code. These patches are supposed to fix issues, but sometimes they cause disruptions."
"Databricks could improve in some of its functionality."
"Doesn't provide a lot of credits or trial options."
"The product should provide more advanced features in future releases."
"Implementation of Databricks is still very code heavy."
"The solution could be improved by adding a feature that would make it more user-friendly for our team. The feature is simple, but it would be useful. Currently, our team is more familiar with the language R, but Databricks requires the use of Jupyter Notebooks which primarily supports Python. We have tried using RStudio, but it is not a fully integrated solution. To fully utilize Databricks, we have to use the Jupyter interface. One feature that would make it easier for our team to adopt the Jupyter interface would be the ability to select a specific variable or line of code and execute it within a cell. This feature is available in other Jupyter Notebooks outside of Databricks and in our own IDE, but it is not currently available within Databricks. If this feature were added, it would make the transition to using Databricks much smoother for our team."
"Pricing is one of the things that could be improved."
"Mode Analytics needs to improve the overall user experience."
"The solution could run faster."
"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."
 

Pricing and Cost Advice

"It is an expensive tool. The licensing model is a pay-as-you-go one."
"The price of Databricks is reasonable compared to other solutions."
"The licensing costs of Databricks depend on how many licenses we need, depending on which Databricks provides a lot of discounts."
"The product pricing is moderate."
"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."
"The pricing depends on the usage itself."
"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 solution is a good value for batch processing and huge workloads."
"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
17%
Computer Software Company
10%
Manufacturing Company
9%
Healthcare Company
6%
Computer Software Company
23%
Media Company
13%
Manufacturing Company
10%
Financial Services Firm
10%
 

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: May 2025.
851,491 professionals have used our research since 2012.