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 14.1% mindshare in SA, compared to Dell Technologies’s 0.1% 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 88 Databricks reviews

6,962 Views
4,678 Comparison Views

96% willing to recommend

Dell Streaming Data Platform

Read 1 Dell Streaming Data Platform review

130 Views
87 Comparison Views

100% willing to recommend

Databricks

Dell Streaming Data Platform

Comparison Buyer's Guide

Download the report

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: January 2025).

Buyer's Guide

Streaming Analytics

January 2025

Download the complete report

Helped 832,138 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

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 February 2025, in the Streaming Analytics category, the mindshare of Databricks is 14.1%, up from 9.9% compared to the previous year. The mindshare of Dell Streaming Data Platform is 0.1%, down from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics

Featured Reviews

Parag Bhosale

Senior Data Engineer at a logistics company with 51-200 employees

Integrating engineering and learning, but cost challenges arise with cluster management

We often use a single cluster to ingest Databricks, which Databricks doesn't recommend. They suggest using a no-cluster solution like job clusters. This can be overwhelming for us because we started smaller. We prefer using a small to mid-sized cluster for many jobs to keep costs low, but this sometimes doesn't support our operations properly. We need to stay in sync with the DVR versions, and migrations can pose challenges. For example, issues arose when we moved a cluster from a previous version to the latest one. We could use their job clusters, however, that increases costs, which is challenging for us as a startup. Maintaining this infrastructure can be a headache.

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…

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 allows me to automate the creation of a cluster, optimized for machine learning and construct AI machine learning models for the client."

"Ability to work collaboratively without having to worry about the infrastructure."

"Easy to use and requires minimal coding and customizations."

"There are good features for turning off clusters."

"The solution is an impressive tool for data migration and integration."

"Databricks integrates well with other solutions."

"I like cloud scalability and data access for any type of user."

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

More Databricks pros

"The performance and price is good."

Cons

"Doesn't provide a lot of credits or trial options."

"Databricks' technical support takes a while to respond and could be improved."

"The initial setup is difficult."

"There has been a significant evolution in databases. One area of improvement is the Databricks File System (DBFS), where command-line challenges arise when accessing files."

"The Databricks cluster can be improved."

"The stability of the clusters or the instances of Databricks would be better if it was a much more stable environment. We've had issues with crashes."

"I would like it if Databricks made it easier to set up a project."

"The product should incorporate more learning aspects. It needs to have a free trial version that the team can practice."

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 rate the price of Databricks as eight out of ten."

"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."

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

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

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

"The licensing costs of Databricks depend on how many licenses we need, depending on which Databricks provides a lot of discounts."

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

"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."

More Databricks pricing and cost advice

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

See which vendors are best for you

Use our free recommendation engine to learn which Streaming Analytics solutions are best for your needs.

See recommendations

832,138 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

11%

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 ...

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 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 11% of the time

Dremio vs Databricks

Compared 8% of the time

Informatica PowerCenter vs Databricks

Compared 8% of the time

Microsoft Power BI vs Databricks

Compared 8% of the time

Amazon SageMaker vs Databricks

Compared 7% of the time

More Databricks Competitors

No data available

Product Reports

Buyer's Guide

Databricks

February 2025

Download Databricks product report

Buyer's Guide

Streaming Analytics

January 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: January 2025.

DOWNLOAD NOW

832,138 professionals have used our research since 2012.

See our list of best Streaming Analytics vendors.

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.