Dell Streaming Data Platform vs Upsolver comparison

Dell Technologies and Upsolver are both solutions in the Streaming Analytics category. Dell Technologies is ranked #31, while Upsolver is ranked #20 with an average rating of 8.5. Dell Technologies holds a 0.8% mindshare in SA, compared to Upsolver’s 0.7% mindshare. Additionally, 100% of Dell Technologies users are willing to recommend the solution, compared to 100% of Upsolver users who would recommend it.

Dell Streaming Data Platform

Read 1 Dell Streaming Data Platform review

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206 Comparison Views

100% willing to recommend

Upsolver

Read 3 Upsolver reviews

612 Views
141 Comparison Views

100% willing to recommend

Dell Streaming Data Platform

Upsolver

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Dell Streaming Data Platform and Upsolver 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 2026).

Buyer's Guide

Streaming Analytics

January 2026

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Helped 880,490 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

31st

Average Rating

8.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Upsolver

Ranking in Streaming Analytics

20th

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Data Integration (37th)

Mindshare comparison

As of January 2026, in the Streaming Analytics category, the mindshare of Dell Streaming Data Platform is 0.8%, up from 0.1% compared to the previous year. The mindshare of Upsolver is 0.7%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics Market Share Distribution
Product	Market Share (%)
Upsolver	0.7%
Dell Streaming Data Platform	0.8%
Other	98.5%

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…

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reviewer2784462

Software Engineer at a tech vendor with 10,001+ employees

Streaming pipelines have become simpler and onboarding new data sources is now much faster

One of the best features Upsolver offers is the automatic schema evolution. Another good feature is SQL-based streaming transformations. Complex streaming transformations such as cleansing, deduplication, and enrichment were implemented using SQL and drastically reduced the need for custom Spark code. My experience with the SQL-based streaming transformations in Upsolver is that it had a significant positive impact on the overall data engineering workflow. By replacing custom Spark streaming jobs with declarative SQL logic, I simplified development, review, and deployment processes. Data transformations such as parsing, filtering, enrichment, and deduplication could be implemented and modified quickly without rebuilding or redeploying complex code-based pipelines. Upsolver has impacted my organization positively because it brings many benefits. The first one is faster onboarding of new data sources. Another one is more reliable streaming pipelines. Another one is near-real-time data availability, which is very important for us. It also reduced operational effort for data engineering teams. A specific outcome that highlights these benefits is that the time to onboard new sources is reduced from weeks to days. Custom Spark code reduction reached 50 to 40 percent. Pipeline failures are reduced by 70 to 80 percent. Data latency is improved from hours to minutes.

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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

"The performance and price is good."

"A specific outcome that highlights these benefits is that the time to onboard new sources is reduced from weeks to days, custom Spark code reduction reached 50 to 40 percent, pipeline failures are reduced by 70 to 80 percent, and data latency is improved from hours to minutes."

"The most prominent feature of Upsolver is its function as an ETL tool, allowing data to be moved across platforms and different data technologies."

"It was easy to use and set up, with a nearly no-code interface that relied mostly on drag-and-drop functionality."

"Customer service is excellent, and I would rate it between eight point five to nine out of ten."

Cons

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

"I think that Upsolver can be improved in orchestration because it is not a full orchestration tool."

"On the stability side, I would rate it seven out of ten. Using multiple cloud providers and data engineering technologies creates complexity, and managing different plugins is not always easy, but they are working on it."

"Upsolver excels in ETL and data aggregation, while ThoughtSpot is strong in natural language processing for querying datasets. Combining these tools can be very effective: Upsolver handles aggregation and ETL, and ThoughtSpot allows for natural language queries. There’s potential for highlighting these integrations in the future."

"There is room for improvement in query tuning."

Pricing and Cost Advice

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

"Upsolver is affordable at approximately $225 per terabyte per year."

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Questions from the Community

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What is your experience regarding pricing and costs for Upsolver?

Upsolver is affordable at approximately $225 per terabyte per year. Compared to what I know from others, it's cheaper than many other products.

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What needs improvement with Upsolver?

There is room for improvement in query tuning. Upsolver could do a more in-depth analysis in employing machine power, such as CPU and memory, to enhance query performance. Furthermore, allocating C...

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What is your primary use case for Upsolver?

I am working as a consultant and currently have my own consultancy services. I provide services to companies that are data-heavy and looking for data engineering solutions for their business needs....

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Product Reports

Buyer's Guide

Streaming Analytics

January 2026

Download Dell Streaming Data Platform product report

Buyer's Guide

Data Integration

January 2026

Download Upsolver product report

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

Upsolver's mission is to turn engineering-intensive data lakes into easy-to-use repositories that serve 50X more data professionals compared to the status-quo today. Upsolver cuts 95% from the tedious process of preparing event data for analytics and machine learning, using a visual SQL-based interface, a cloud-native data platform and deep technology for stream-processing, indexing and eventually-consistent file systems.

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Microsoft and others in Streaming Analytics. Updated: January 2026.

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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.