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 #22 with an average rating of 8.0. Databricks holds a 14.2% 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

4,598 Views
3,034 Comparison Views

96% willing to recommend

Dell Streaming Data Platform

Read 1 Dell Streaming Data Platform review

118 Views
36 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), Microsoft and others in Streaming Analytics.

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

Buyer's Guide

Streaming Analytics

June 2025

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Helped 860,592 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

22nd

Average Rating

8.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2025, in the Streaming Analytics category, the mindshare of Databricks is 14.2%, up from 11.3% 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.

Read full review

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…

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Quotes from Members

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

Pros

"I haven't heard about any major stability issues. At this time I feel like it's stable."

"Databricks has helped us have a good presence in data."

"Databricks' most valuable feature is the data transformation through PySpark."

"It is a cost-effective solution."

"We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."

"Databricks' Lakehouse architecture has been most useful for us. The data governance has been absolutely efficient in between other kinds of solutions."

"The most valuable feature is the ability to use SQL directly with Databricks."

"It is fast, it's scalable, and it does the job it needs to do."

More Databricks pros

"The performance and price is good."

Cons

"A lot of people are required to manage this solution."

"I would like more integration with SQL for using data in different workspaces."

"The product should provide more advanced features in future releases."

"There could be more support for automated machine learning in the database. I would like to see more ways to do analysis so that the reporting is more understandable."

"It should have more compatible and more advanced visualization and machine learning libraries."

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

"Cluster failure is one of the biggest weaknesses I notice in our Databricks."

"As a data engineer, I see cluster failure in our Databricks user databases as a major issue."

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

"The solution is a good value for batch processing and huge workloads."

"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."

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

"There are different versions."

"The basic version of this solution is now open-source, so there are no license costs involved. However, there is a charge for any advanced functionality and this can be quite expensive."

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

"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."

"The product pricing is moderate."

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

18%

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 7% of the time

Tableau vs Databricks

Compared 5% of the time

More Databricks Competitors

No data available

Product Reports

Buyer's Guide

Databricks

June 2025

Download Databricks product report

Buyer's Guide

Streaming Analytics

June 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), Microsoft and others in Streaming Analytics. Updated: June 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.