Databricks vs Dell Streaming Data Platform comparison

Databricks and Dell Technologies are both solutions in the Streaming Analytics category. Databricks is ranked #1 with an average rating of 8.3, while Dell Technologies is ranked #24 with an average rating of 8.0. Databricks holds a 13.5% mindshare in SA, compared to Dell Technologies’s 0.2% mindshare. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 100% of Dell Technologies users who would recommend it.

Databricks

Read 91 Databricks reviews

23,965 Views
4,314 Comparison Views

96% willing to recommend

Dell Streaming Data Platform

Read 1 Dell Streaming Data Platform review

122 Views
113 Comparison Views

100% willing to recommend

Databricks

Dell Streaming Data Platform

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Databricks and Dell Streaming Data Platform based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics.

To learn more, read our detailed Streaming Analytics Report (Updated: August 2025).

Buyer's Guide

Streaming Analytics

August 2025

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Helped 865,295 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

Ranking in Streaming Analytics

1st

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (8th), Data Science Platforms (1st)

Dell Streaming Data Platform

Ranking in Streaming Analytics

24th

Average Rating

8.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the Streaming Analytics category, the mindshare of Databricks is 13.5%, up from 11.8% compared to the previous year. The mindshare of Dell Streaming Data Platform is 0.2%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics

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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Marc Gaethofs

ICT manager at Thys Bouwprojecten

The solution’s clear-cut pricing makes scalability a cinch

We have one customer working with the solution in the event market—a video streaming company. They organize annual events and create movies from the data they gather. Having data available promptly and cost-effectively in the required location is crucial for them The performance and price is…

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

"The time travel feature is the solution's most valuable aspect."

"The setup is quite easy."

"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."

"We can scale the product."

"The most valuable features of the solution are the hardware and the resources it quickly provides without much hassle."

"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."

"Databricks serves as a single platform for conducting the entire end-to-end lifecycle of machine learning models or AI ops."

"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."

More Databricks pros

"The performance and price is good."

Cons

"There is room for improvement in visualization."

"It's not easy to use, and they need a better UI."

"I would like to see the integration between Databricks and MLflow improved. It is quite hard to train multiple models in parallel in the distributed fashions. You hit rate limits on the clients very fast."

"Some of the error messages that we receive are too vague, saying things like "unknown exception", and these should be improved to make it easier for developers to debug problems."

"I have seen better user interfaces, so that is something that can be improved."

"The solution could improve by providing better automation capabilities. For example, working together with more of a DevOps approach, such as continuous integration."

"Can be improved by including drag-and-drop features."

"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."

More Databricks cons

"Improvement can be made by implementing a clear sales point that guides users in making choices, especially for virtualization purposes."

Pricing and Cost Advice

"I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."

"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."

"Databricks are not costly when compared with other solutions' prices."

"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."

"Price-wise, I would rate Databricks a three out of five."

"The price of Databricks is reasonable compared to other solutions."

"The solution is based on a licensing model."

More Databricks pricing and cost advice

"The pricing is good. With PowerScale, purchasing involves upfront usable capacity, typically with a price per terabyte."

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

No data available

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 ...

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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...

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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...

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What do you like most about Dell Streaming Data Platform?

The performance and price is good.

See all answers

What is your experience regarding pricing and costs for Dell Streaming Data Platform?

The pricing is good. With PowerScale, purchasing involves upfront usable capacity, typically with a price per terabyte. The solution's expansion is straightforward as you can easily upgrade your li...

See all answers

What needs improvement with Dell Streaming Data Platform?

Improvement can be made by implementing a clear sales point that guides users in making choices, especially for virtualization purposes. An online calculator would be a helpful addition for this pu...

See all answers

Comparisons

Dataiku vs Databricks

Compared 10% of the time

Microsoft Power BI vs Databricks

Compared 9% of the time

Informatica PowerCenter vs Databricks

Compared 7% of the time

Dremio vs Databricks

Compared 6% of the time

Tableau Enterprise vs Databricks

Compared 5% of the time

More Databricks Competitors

No data available

Product Reports

Buyer's Guide

Databricks

August 2025

Download Databricks product report

Buyer's Guide

Streaming Analytics

August 2025

Download Dell Streaming Data Platform 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

Dell EMC Streaming Data Platform, an innovative enterprise-grade software
platform, empowers organizations by harnessing their real-time and historical
data in a single, auto-scale infrastructure and programming model. Using the
Streaming Data Platform, organizations can achieve improvement towards
innovation throughout their entire ecosystem and harness the power of every
piece of their massive data set.

Dell Technologies

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware

Information Not Available

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics. Updated: August 2025.

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We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.