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TIBCO Streaming vs Upsolver comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 1, 2026

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

TIBCO Streaming
Ranking in Streaming Analytics
24th
Average Rating
8.0
Number of Reviews
1
Ranking in other categories
Complex Event Processing (CEP) (1st)
Upsolver
Ranking in Streaming Analytics
21st
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
3
Ranking in other categories
Data Integration (37th)
 

Mindshare comparison

As of April 2026, in the Streaming Analytics category, the mindshare of TIBCO Streaming is 1.3%, up from 0.3% compared to the previous year. The mindshare of Upsolver is 1.0%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Streaming Analytics Mindshare Distribution
ProductMindshare (%)
Upsolver1.0%
TIBCO Streaming1.3%
Other97.7%
Streaming Analytics
 

Featured Reviews

MK
Head of Data and Analytics Solutions at a tech vendor with 201-500 employees
Good stability and scalability with the capability to combine with Spotfire
The ability for StreamBase to combine with Spotfire is its most valuable aspect. The ability to handle data in motion and the entirety of data at the same time is very good. If you don't integrate the two together it's just a monitoring tool, but if they're combined together it becomes a powerful analytical tool. When you can combine live data from streaming data sources with standing data from the customer's primary database then you can calculate some KPIs or thresholds based on the previous information. We can do data science, machine learning methods or just clever queries. You can view all this online. If a KPI hits a redline, you can send alerts, which is the solution's most functional feature.
reviewer2784462 - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"The ability for StreamBase to combine with Spotfire is its most valuable aspect. The ability to handle data in motion and the entirety of data at the same time is very good. If you don't integrate the two together it's just a monitoring tool, but if they're combined together it becomes a powerful analytical tool."
"The ability for StreamBase to combine with Spotfire is its most valuable aspect."
"Customer service is excellent, and I would rate it between eight point five to nine out of ten."
"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."
"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."
 

Cons

"The solution should be more user-friendly for developers. Right now, you need a strong programmer to tune the solution."
"The solution should be more user-friendly for developers. Right now, you need a strong programmer to tune the solution. It's complicated product. I'm not sure if it can be done via self-service with BI. Because I'm from BI, I want more simplicity."
"There is room for improvement in query tuning."
"I think that Upsolver can be improved in orchestration because it is not a full orchestration tool."
"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."
"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."
 

Pricing and Cost Advice

Information not available
"Upsolver is affordable at approximately $225 per terabyte per year."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Construction Company
15%
Manufacturing Company
11%
Transportation Company
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

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What is your experience regarding pricing and costs for Upsolver?
My experience with pricing, setup cost, and licensing was a very good experience, but it is not a direct experience because it was not my responsibility. It was in charge of the customer. However, ...
What needs improvement with Upsolver?
I think that Upsolver can be improved in orchestration because it is not a full orchestration tool. I believe it could be better in this regard. The cost needs attention at a very large scale. I th...
What is your primary use case for Upsolver?
My main use case for Upsolver is during an IT consulting project for a large enterprise running a cloud-native data platform on AWS. I used Upsolver to ingest and process high-volume stream data fr...
 

Comparisons

 

Also Known As

TIBCO Streambase CEP
No data available
 

Overview

 

Sample Customers

Blendtec, Brembo, CargoSmart, Hunt Oil, Autodata, Bank of Montreal
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