Dell Streaming Data Platform vs Google Cloud Dataflow comparison

Dell Technologies and Google are both solutions in the Streaming Analytics category. Dell Technologies is ranked #22 with an average rating of 8.0, while Google is ranked #7 with an average rating of 8.1. Dell Technologies holds a 0.2% mindshare in SA, compared to Google’s 6.5% mindshare. Additionally, 100% of Dell Technologies users are willing to recommend the solution, compared to 92% of Google users who would recommend it.

Dell Streaming Data Platform

Read 1 Dell Streaming Data Platform review

118 Views
36 Comparison Views

100% willing to recommend

Google Cloud Dataflow

Read 13 Google Cloud Dataflow reviews

2,544 Views
1,015 Comparison Views

92% willing to recommend

Dell Streaming Data Platform

Google Cloud Dataflow

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Dell Streaming Data Platform and Google Cloud Dataflow 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 860,168 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

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

Google Cloud Dataflow

Ranking in Streaming Analytics

7th

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 Dell Streaming Data Platform is 0.2%, up from 0.2% compared to the previous year. The mindshare of Google Cloud Dataflow is 6.5%, down from 7.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics

Featured Reviews

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

Jana Polianskaja

Data Engineer at Accenture

Build Scalable Data Pipelines with Apache Beam and Google Cloud Dataflow

As a data engineer, I find several features of Google Cloud Dataflow particularly valuable. The ability to test solutions locally using Direct Runner is crucial for development, allowing me to validate pipelines without incurring the costs of full Dataflow jobs. The unified programming model for both batch and streaming processing is exceptional - requiring only minor code adjustments to optimize for either mode. This flexibility extends to language support, with robust implementations in both Java and Python, allowing teams to leverage their existing expertise. The platform's comprehensive monitoring capabilities are another standout feature. The intuitive interface, Grafana integration, and extensive service connectivity make troubleshooting and performance tracking highly efficient. Furthermore, seamless integration with Google Cloud Composer (managed Airflow) enables sophisticated orchestration of data pipelines.

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 performance and price is good."

"The integration within Google Cloud Platform is very good."

"The support team is good and it's easy to use."

"The solution allows us to program in any language we desire."

"It allows me to test solutions locally using runners like Direct Runner without having to start a Dataflow job, which can be costly."

"It is a scalable solution."

"The product's installation process is easy...The tool's maintenance part is somewhat easy."

"The best feature of Google Cloud Dataflow is its practical connectedness."

"The most valuable features of Google Cloud Dataflow are the integration, it's very simple if you have the complete stack, which we are using. It is overall very easy to use, user-friendly friendly, and cost-effective if you know how to use it. The solution is very flexible for programmers, if you know how to do scripts or program in Python or any other language, it's extremely easy to use."

More Google Cloud Dataflow pros

Cons

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

"I would like Google Cloud Dataflow to be integrated with IT data flow and other related services to make it easier to use as it is a complex tool."

"The deployment time could also be reduced."

"Google Cloud Data Flow can improve by having full simple integration with Kafka topics. It's not that complicated, but it could improve a bit. The UI is easy to use but the experience could be better. There are other tools available that do a better job."

"Promoting the technology more broadly would help increase its adoption."

"Google Cloud Dataflow should include a little cost optimization."

"The authentication part of the product is an area of concern where improvements are required."

"I would like to see improvements in consistency and flexibility for schema design for NoSQL data stored in wide columns."

"There are certain challenges regarding the Google Cloud Composer which can be improved."

More Google Cloud Dataflow cons

Pricing and Cost Advice

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

"On a scale from one to ten, where one is cheap, and ten is expensive, I rate Google Cloud Dataflow's pricing a four out of ten."

"The tool is cheap."

"On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing a seven to eight out of ten."

"The price of the solution depends on many factors, such as how they pay for tools in the company and its size."

"Google Cloud is slightly cheaper than AWS."

"The solution is cost-effective."

"Google Cloud Dataflow is a cheap solution."

"The solution is not very expensive."

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

18%

Manufacturing Company

12%

Retailer

11%

Computer Software Company

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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

What do you like most about Google Cloud Dataflow?

The product's installation process is easy...The tool's maintenance part is somewhat easy.

See all answers

What is your experience regarding pricing and costs for Google Cloud Dataflow?

Pricing is normal. It is part of a package received from Google, and they are not charging us too high.

See all answers

What needs improvement with Google Cloud Dataflow?

I am not sure, as we built only one job, and it is running on a daily basis. Everything else is managed using BigQuery schedulers and Talend. However, occasionally, dealing with a huge volume of da...

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Comparisons

No data available

Databricks vs Google Cloud Dataflow

Compared 36% of the time

Apache Flink vs Google Cloud Dataflow

Compared 16% of the time

Apache NiFi vs Google Cloud Dataflow

Compared 12% of the time

Spring Cloud Data Flow vs Google Cloud Dataflow

Compared 7% of the time

Amazon MSK vs Google Cloud Dataflow

Compared 7% of the time

More Google Cloud Dataflow Competitors

Product Reports

Buyer's Guide

Streaming Analytics

June 2025

Download Dell Streaming Data Platform product report

Buyer's Guide

Google Cloud Dataflow

June 2025

Download Google Cloud Dataflow product report

Also Known As

No data available

Google Dataflow

Overview

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

Google Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization.

Google

Sample Customers

Information Not Available

Absolutdata, Backflip Studios, Bluecore, Claritics, Crystalloids, Energyworx, GenieConnect, Leanplum, Nomanini, Redbus, Streak, TabTale

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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