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IBM InfoSphere Information Server 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

IBM InfoSphere Information ...
Ranking in Data Integration
34th
Average Rating
8.2
Reviews Sentiment
5.8
Number of Reviews
9
Ranking in other categories
Metadata Management (7th)
Upsolver
Ranking in Data Integration
38th
Average Rating
8.6
Reviews Sentiment
7.6
Number of Reviews
4
Ranking in other categories
Streaming Analytics (21st)
 

Mindshare comparison

As of July 2026, in the Data Integration category, the mindshare of IBM InfoSphere Information Server is 0.9%, up from 0.8% compared to the previous year. The mindshare of Upsolver is 0.8%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
IBM InfoSphere Information Server0.9%
Upsolver0.8%
Other98.3%
Data Integration
 

Featured Reviews

MI
Senior Data Engineer at Mohammed Mansour Alrumiah
Faced challenges with customer support and documentation but have benefited from reliable data integration over the years
As for utilizing the platform's metadata management feature, I have not worked on that feature yet, but personally, I have done that. To evaluate the effectiveness of IBM InfoSphere Information Server's data integration capabilities, if IBM is providing all the solutions we are using, then it is definitely a helpful thing. Mostly, the other thing is that it is a big area including data governance, data lineage, data management, and metadata, but every customer is not putting that much effort and money on that. They mostly migrate the data, use it, and forget it, but slowly things are changing. I am working in Saudi Arabia, so here also data governance, data management, and those kinds of things are getting attention. Regarding how scalable IBM InfoSphere Information Server is, I need to learn how to tune performance and scalability on the cloud. I am familiar with localized hardware, but on the cloud, I still have to do the work around it. In the beginning, we estimate the load and based on that, we put the hardware, but if there is continuous increase, I believe IBM also faces problems. Scalability needs to be improved because once the demand comes, you should be able to improve it, but for that, documentation on how to add hardware or resources to the software needs to be proper. I do not have much hands-on experience with that.
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

"Reduces the loading and development time for Datawarehouse ETL."
"Data connections, data partitioning, flexibility, and performance are the most valuable features."
"Over the years of working with IBM InfoSphere Information Server, I see basically the strength of the tool, capability, and load balancing, which I see is really good."
"Stability-wise, I rate the solution a ten out of ten."
"This solution has reduced the time it takes for ETL. We took an existing Teradata ETL application from three days to eight minutes."
"The integration with different technologies is the most valuable feature."
"Deploying the solution is straightforward for me."
"This solution is extremely flexible and scalable."
"Customer service is excellent, and I would rate it between eight point five to nine out of ten."
"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."
"I have saved 50 to 60% on maintaining pipelines since using Upsolver."
"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."
 

Cons

"IBM InfoSphere Information Server should be more scalable. It should have the option to change the configuration to run on a single, non-multiple node, or multi-threading processing."
"Customer Service: It's poor."
"Unlike other tools, IBM tools do not provide much help from the internet, so additional support should be available."
"There are certain shortcomings in the cloud side of the solution, where improvements are required."
"Heavy use of scratch disk which sometimes leads to failure."
"We have decided to decrease the usage of metadata management because we did not see any significant advantages."
"Their technical support needs improvement."
"This solution would benefit from the engine being made more lightweight."
"I think that Upsolver can be improved in orchestration because it is not a full orchestration tool."
"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 would say Upsolver's scalability is eight out of 10 because of pricing."
 

Pricing and Cost Advice

"The licensing cost of IBM InfoSphere Information Server depends on how many users there are."
"Upsolver is affordable at approximately $225 per terabyte per year."
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902,894 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Construction Company
12%
Comms Service Provider
8%
Manufacturing Company
8%
Real Estate/Law Firm
15%
Manufacturing Company
15%
Retailer
11%
Construction Company
11%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise1
Large Enterprise5
No data available
 

Questions from the Community

What needs improvement with IBM InfoSphere Information Server?
We are using the on-premises version of IBM InfoSphere Information Server, but we feel that all new development is mainly for the cloud. We receive corrections of errors, but we do not see new func...
What is your primary use case for IBM InfoSphere Information Server?
My usual use case for IBM InfoSphere Information Server is ETL, where we take data from one source to another data warehouse solution.
What advice do you have for others considering IBM InfoSphere Information Server?
We are about to change our platform from IBM AIX to SUSE Linux, as our whole platform is changing, so everyone should change from IBM to SUSE Linux. It would be very difficult for us to have a diff...
What is your experience regarding pricing and costs for Upsolver?
My experience with pricing, setup cost, and licensing is that the pricing is nine out of 10.
What needs improvement with Upsolver?
I think Upsolver can be improved with deeper integration with external orchestration out of the box. I would appreciate more clear dashboards with billing in real time as a needed improvement.
What is your primary use case for Upsolver?
My main use case for Upsolver is to operate with changes in the structure of new data without a pipeline disrupting. I write SQL queries in Upsolver, and the platform takes care of the data itself,...
 

Also Known As

InfoSphere Information Server, IBM Information Server
No data available
 

Overview

 

Sample Customers

Canadian National Railway Company, Chickasaw Nation Division of Commerce, Swedish Armed Forces, BG RCI, Janata Sahakari Bank Ltd., University of Arizona, Biogrid Australia
Information Not Available
Find out what your peers are saying about IBM InfoSphere Information Server vs. Upsolver and other solutions. Updated: June 2026.
902,894 professionals have used our research since 2012.