IBM Streams vs Upsolver comparison

IBM and Upsolver are both solutions in the Streaming Analytics category. IBM is ranked #20 with an average rating of 7.0, while Upsolver is ranked #17 with an average rating of 8.5. IBM holds a 0.8% mindshare in SA, compared to Upsolver’s 0.3% mindshare. Additionally, 100% of IBM users are willing to recommend the solution, compared to 100% of Upsolver users who would recommend it.

IBM Streams

Read 5 IBM Streams reviews

422 Views
327 Comparison Views

100% willing to recommend

Upsolver

Read 2 Upsolver reviews

101 Views
70 Comparison Views

100% willing to recommend

IBM Streams

Upsolver

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between IBM Streams and Upsolver based on real PeerSpot user reviews.

Find out in this report how the two Streaming Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed IBM Streams vs. Upsolver Report (Updated: April 2025).

Buyer's Guide

IBM Streams vs. Upsolver

April 2025

Download the complete report

Helped 850,028 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

IBM Streams

Ranking in Streaming Analytics

20th

Average Rating

8.2

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Upsolver

Ranking in Streaming Analytics

17th

Average Rating

8.6

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Data Integration (37th)

Mindshare comparison

As of May 2025, in the Streaming Analytics category, the mindshare of IBM Streams is 0.8%, down from 1.0% compared to the previous year. The mindshare of Upsolver is 0.3%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics

Featured Reviews

Ahmed_Emad

Territory Sales Leader at Sumerge

A solution for data pipelines but has connector limitations

We have used Kafka for seven years. IBM streams gives you many OOTB features that can boost the time-to-market, especially when it comes to reporting and monitoring for example. Confluent is recognized as one of the leaders in this space and the main reason for this is related to the complete vision of the platform also the large number of connectors. This gives the edge and competitive advatnage.

Read full review

Snehasish Das

Technology Leader at eTCaaS

Allows for data to be moved across platforms and different data technologies

The most prominent feature of Upsolver is its function as an ETL tool, allowing data to be moved across platforms and different data technologies. Upsolver does this in a quick time, unlike traditional processes which are time-consuming. Additionally, it offers scalability for large volumes of data, with performance and ease of cloud-native integration.

Read full review

See which vendors are best for you

Use our free recommendation engine to learn which Streaming Analytics solutions are best for your needs.

See recommendations

850,028 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

33%

Computer Software Company

22%

Healthcare Company

Real Estate/Law Firm

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for IBM Streams?

The solution’s licenses pricing is different from one region to another region. I rate the solution’s pricing a seven out of ten.

See all answers

What needs improvement with IBM Streams?

the limited number of connectors. This shall be overcome with work-arounds or eventually buying additional connectors to complete the solution.

See all answers

What is your primary use case for IBM Streams?

We use the solution for data pipeline by modernizing the traditional ETL jobs done through advanced streaming. Another use case is building the g2g streaming platform, which facilitates data exchan...

See all answers

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.

See all answers

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...

See all answers

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....

See all answers

Comparisons

Confluent vs IBM Streams

Compared 56% of the time

Apache Flink vs IBM Streams

Compared 44% of the time

More IBM Streams Competitors

Databricks vs Upsolver

Compared 100% of the time

More Upsolver Competitors

Product Reports

Buyer's Guide

Streaming Analytics

March 2025

Download IBM Streams product report

Buyer's Guide

Data Integration

March 2025

Download Upsolver product report

Also Known As

IBM InfoSphere Streams

No data available

Overview

IBM Streams is an advanced analytic platform that allows user-developed applications to quickly ingest, analyze and correlate information as it arrives from thousands of data stream sources. The solution can handle very high data throughput rates, up to millions of events or messages per second. Streams helps you analyze data in motion, simplify development of streaming applications, and extend the value of existing systems.

IBM

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.

Upsolver

Sample Customers

Globo TV, All England Lawn Tennis Club, CenterPoint Energy, Consolidated Communications Holdings, Darwin Ecosystem, Emory University Hospital, ICICI Securities, Irish Centre for Fetal and Neonatal Translational Research (INFANT), Living Roads, Mobileum, Optibus, Southern Ontario Smart Computing Innovation Platform (SOSCIP), University of Alberta, University of Montana, University of Ontario Institute of Technology, Wimbledon 2015

Information Not Available

Buyer's Guide

IBM Streams vs. Upsolver

April 2025

Free Report: IBM Streams vs. Upsolver

Find out what your peers are saying about IBM Streams vs. Upsolver and other solutions. Updated: April 2025.

DOWNLOAD NOW

850,028 professionals have used our research since 2012.

See our IBM Streams vs. Upsolver report.

See our list of best Streaming Analytics vendors.

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.