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PubSub+ Platform vs Upsolver comparison

 

Comparison Buyer's Guide

Executive Summary

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

PubSub+ Platform
Ranking in Streaming Analytics
14th
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
18
Ranking in other categories
Message Queue (MQ) Software (8th), Message Oriented Middleware (MOM) (2nd), Event Monitoring (11th)
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 March 2026, in the Streaming Analytics category, the mindshare of PubSub+ Platform is 3.6%, up from 2.9% compared to the previous year. The mindshare of Upsolver is 0.9%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Streaming Analytics Mindshare Distribution
ProductMindshare (%)
PubSub+ Platform3.6%
Upsolver0.9%
Other95.5%
Streaming Analytics
 

Featured Reviews

reviewer2714190 - PeerSpot reviewer
freelancer at a financial services firm with 1,001-5,000 employees
Offers a seamless way to decouple applications, providing impressive performance and flexibility
Regarding improving the PubSub+ Platform, I'm not sure about the pricing aspect, but I heard that it is quite expensive compared to Kafka. That's the only concern I can mention; otherwise, it was as impressive as Kafka, better than Kafka based on my experience working on the Solace and Kafka white paper.
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

"We've built a lot of products into it and it's been quite easy to feed market data onto the systems and put entitlements and controls around that. That was a big win for us when we were consolidating our platforms down. Trying to have one event bus, one messaging bus, for the whole globe, and consolidate everything over time, has been key for us. We've been able to do that through one API, even if it's across the different languages."
"Some valuable features include reconnecting topics, placing queues, and direct connections to MongoDB. The platform provides a dashboard to monitor the status of messages, such as how many have been processed or delivered, which is helpful for tracking performance."
"This solution reduces the latency to access changes in real-time and the effort required to onboard a new subscriber. It also reduces the maintenance of each of those interfaces because now the publisher and subscribers are decoupled. Event Broker handles all the communication and engagement. We can just push one update, then we don't have to know who is consuming it and what's happening to that publication downstream. It's all done by the broker, which is a huge benefit of using Event Broker."
"When it comes to granularity, you can literally do anything regarding how the filtering works."
"The most valuable feature of PubSub+ Event Broker is the scaling integration. Prior to using the solution, it was done manually with a file, and it can be done instantly live."
"We like the seamless flexibility in protocol exchange offering without writing a code."
"As of now, the most valuable aspects are the topic-based subscription and the fanout exchange that we are using."
"Guaranteed Messaging allows for us to transport messages between on-prem and the cloud without any loss of data."
"It was easy to use and set up, with a nearly no-code interface that relied mostly on drag-and-drop functionality."
"The most prominent feature of Upsolver is its function as an ETL tool, allowing data to be moved across platforms and different data technologies."
"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."
"Customer service is excellent, and I would rate it between eight point five to nine out of ten."
 

Cons

"It could be cheaper. It could also have easier usage. It is a brilliant product, but it is quite complex to use."
"The integrations could improve in PubSub+ Event Broker."
"We have requested to be able to get into the payload to do dynamic topic hierarchy building. A current workaround is using the message's header, where the business data can be put into this header and be used for a dynamic topic lookup. I want to see this in action when there are a couple of hundred cases live. E.g., how does it perform? From an administration perspective, is the ease of use there?"
"The solution could be improved by enhancing the message pooling size for persistent messages to handle both small and large messages effectively."
"I would like them to design topic and queue schemas, mapping them to the enterprise data structure."
"If you create one event in the past, you cannot resend it."
"The licensing and the cost are the major pitfalls."
"One of the areas of improvement would be if we could tell the story a bit better about what an event mesh does or why an event mesh is foundational to a large enterprise that has a wide diversity of applications that are homegrown and a small number off the shelf."
"There is room for improvement in query tuning."
"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."
"I think that Upsolver can be improved in orchestration because it is not a full orchestration tool."
 

Pricing and Cost Advice

"There are different tiers where you can choose what would work for you. As a customer, you need to know roughly how many messages a month you will use."
"Having a free version of the solution was a big, important part of our decision to go with it. This was the big driver for us to evaluate Solace. We started using it as the free version. When we felt comfortable with the free version, that is when we bought the enterprise version."
"We have been really happy with the product licensing rates. It has been free for us, up to a 100,000 transactions per second, and all we have to do is pay for support. Making their product available and accessible to us has not been a problem at all."
"Having a free version is critical for our technology operations use case. This is primarily because our technology operations team is a cost center in our company. They are not profit drivers and having a free version for installation will probably meet our needs. Even for production, it'll support up to a 100,000 messages per second. I don't think in technology operations that we have that many events and alerts from our detection tools. Even if I have 20 or 30 event detection products out there, they're only going to publish the things which are critical or warnings. I don't think we'll ever reach a 100,000 messages per second."
"It could be cheaper. Its licensing is on a yearly basis."
"We are looking for something that will add value and fit for purpose. Freeware is good if you want to try something quickly without putting in much money. However, as far as our decision is concerned, I don't think it helps. At the end of the day, if we are convinced that a capability is required, we will ask for the funding. Then, when the funding is available, we will go for an enterprise solution only."
"The price of PubSub+ Event Broker is reasonable for the capability it offers. However, when compared to others solutions on the market it is expensive."
"The price of the solution is expensive."
"Upsolver is affordable at approximately $225 per terabyte per year."
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Top Industries

By visitors reading reviews
Financial Services Firm
25%
Manufacturing Company
10%
Retailer
9%
Computer Software Company
5%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise1
Large Enterprise14
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for PubSub+ Event Broker?
I do not know about the pricing of PubSub+ Platform because I did not manage the instance.
What needs improvement with PubSub+ Event Broker?
Additional in-line information about certain things on PubSub+ Platform could be more beneficial for new users who are just starting to use this technology. The analytics tools integrated within Pu...
What is your primary use case for PubSub+ Event Broker?
I describe the main use cases for PubSub+ Platform as wanting to use it as a messaging queue pipeline for managing the data stream events in our IoT platform while I was working at an IoT-based com...
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

PubSub+ Event Broker, PubSub+ Event Portal
No data available
 

Overview

 

Sample Customers

FxPro, TP ICAP, Barclays, Airtel, American Express, Cobalt, Legal & General, LSE Group, Akuna Capital, Azure Information Technology, Brand.net, Canadian Securities Exchange, Core Transport Technologies, Crédit Agricole, Fluent Trade Technologies, Harris Corporation, Korea Exchange, Live E!, Mercuria Energy, Myspace, NYSE Technologies, Pico, RBC Capital Markets, Standard Chartered Bank, Unibet 
Information Not Available
Find out what your peers are saying about PubSub+ Platform vs. Upsolver and other solutions. Updated: February 2026.
883,692 professionals have used our research since 2012.