Databricks vs Mode Analytics comparison

The compared Databricks and Mode solutions aren't in the same category. Databricks is ranked #7 in CDW , with an average rating of 8.3, and holds a 7.8% mindshare in the category. Mode is ranked #26 in BIT , with an average rating of 8.0, and holds a 0.4% mindshare. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 100% of Mode users who would recommend it.

Databricks

Read 88 Databricks reviews

2,340 Views
1,659 Comparison Views

96% willing to recommend

Mode Analytics

Read 4 Mode Analytics reviews

374 Views
271 Comparison Views

100% willing to recommend

Databricks

Mode Analytics

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Databricks and Mode Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse.

To learn more, read our detailed Cloud Data Warehouse Report (Updated: February 2025).

Buyer's Guide

Cloud Data Warehouse

February 2025

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Helped 839,422 peers since 2012

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

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

Ranking in other categories

BI (Business Intelligence) Tools (26th)

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 7.8%, up 2.9% 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

Data Engineer at a engineering company with 1,001-5,000 employees

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.

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Yoeri Samwel

Logistical engineer at DSV

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…

Read full review

Quotes from Members

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

Pros

"Databricks helps crunch petabytes of data in a very short period of time."

"The solution is very easy to use."

"Databricks offers various courses that I can use, whether it's PySpark, Scala, or R."

"It's easy to increase performance as required."

"The setup was straightforward."

"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."

"Databricks is a scalable solution. It is the largest advantage of the solution."

"In the manufacturing industry, Databricks can be beneficial to use because of machine learning. It is useful for tasks, such as product analysis or predictive maintenance."

More Databricks pros

"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 be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets."

"The tool should improve its integration with other products."

"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."

"The API deployment and model deployment are not easy on the Databricks side."

"Databricks has added some alerts and query functionality into their SQL persona, but the whole SQL persona, which is like a role, needs a lot of development. The alerts are not very flexible, and the query interface itself is not as polished as the notebook interface that is used through the data science and machine learning persona. It is clunky at present."

"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."

"There are no direct connectors — they are very limited."

"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."

More Databricks cons

"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."

"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

"The cost for Databricks depends on the use case. I work on it as a consultant, so I'm using the client's Databricks, so it depends on how big the client is."

"I'm not involved in the financing, but I can say that the solution seemed reasonably priced compared to the competitors. Similar products are usually in the same price range. With five being affordable and one being expensive, I would rate Databricks a four out of five."

"Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."

"The solution is based on a licensing model."

"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."

"The solution is affordable."

"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."

"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."

More Databricks pricing and cost advice

"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

17%

Computer Software Company

11%

Manufacturing Company

Healthcare Company

Computer Software Company

23%

Media Company

12%

Financial Services Firm

11%

Manufacturing Company

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 ...

See all answers

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...

See all answers

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...

See all answers

What do you like most about Mode Analytics?

The solution is simple for people from a viewing perspective, not a coding perspective.

See all answers

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...

See all answers

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...

See all answers

Comparisons

Dataiku vs Databricks

Compared 11% of the time

Microsoft Power BI vs Databricks

Compared 9% of the time

Dremio vs Databricks

Compared 8% of the time

Informatica PowerCenter vs Databricks

Compared 8% of the time

Amazon SageMaker vs Databricks

Compared 6% of the time

More Databricks Competitors

Metabase vs Mode Analytics

Compared 23% of the time

Amazon QuickSight vs Mode Analytics

Compared 18% of the time

Tableau vs Mode Analytics

Compared 16% of the time

More Mode Analytics Competitors

Product Reports

Buyer's Guide

Databricks

March 2025

Download Databricks product report

Buyer's Guide

BI (Business Intelligence) Tools

February 2025

Download Mode Analytics product report

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

No data available

Overview

Databricks is utilized for advanced analytics, big data processing, machine learning models, ETL operations, data engineering, streaming analytics, and integrating multiple data sources.

Organizations leverage Databricks for predictive analysis, data pipelines, data science, and unifying data architectures. It is also used for consulting projects, financial reporting, and creating APIs. Industries like insurance, retail, manufacturing, and pharmaceuticals use Databricks for data management and analytics due to its user-friendly interface, built-in machine learning libraries, support for multiple programming languages, scalability, and fast processing.

What are the key features of Databricks?

User-friendly interface: Simplifies operations and usability.
Built-in machine learning libraries: Facilitates machine learning tasks.
Support for multiple programming languages: Enhances flexibility.
Scalability: Efficiently handles growing data needs.
Fast processing: Improves performance and speed.
Automated optimization: Reduces manual efforts.
Data visualization: Provides insightful visuals.
Collaborative features: Enhances teamwork.
Delta Lake performance: Boosts data management.
Seamless cluster management: Simplifies system operations.

What are the benefits or ROI to look for in Databricks reviews?

Efficiency in handling large datasets: Ensures smooth processing.
Interactive workspace environment: Improves user collaboration.
Integration with platforms: Provides connectivity benefits.
Performance optimization: Enhances overall system performance.
Support for data governance and security: Ensures data integrity and protection.

Databricks is implemented in insurance for risk analysis and claims processing; in retail for customer analytics and inventory management; in manufacturing for predictive maintenance and supply chain optimization; and in pharmaceuticals for drug discovery and patient data analysis. Users value its scalability, machine learning support, collaboration tools, and Delta Lake performance but seek improvements in visualization, pricing, and integration with BI tools.

Databricks

Mode builds technology that helps analysts and data scientists unlock the value in data. The collaborative analytics platform tightly integrates SQL queries, Python notebooks, and reporting tools to make a profound impact on an entire organization's ability to use data effectively. Mode drives data-informed decisions at innovative companies including Clover Health, Thumbtack, Twitch, and Zenefits. Mode also supports the analytics community with free learning resources, open source SQL queries, and offers its tools for free to anyone analyzing public data.

Mode

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: February 2025.

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