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Integrate.io 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

Integrate.io Platform
Ranking in Data Integration
40th
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
3
Ranking in other categories
Data Observability (6th)
Upsolver
Ranking in Data Integration
39th
Average Rating
8.6
Reviews Sentiment
7.6
Number of Reviews
4
Ranking in other categories
Streaming Analytics (21st)
 

Mindshare comparison

As of August 2026, in the Data Integration category, the mindshare of Integrate.io Platform is 0.5%, 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.
Data Integration Mindshare Distribution
ProductMindshare (%)
Upsolver0.7%
Integrate.io Platform0.5%
Other98.8%
Data Integration
 

Featured Reviews

RP
Founder at Rembrand Pardo Consulting
Streamlines daily data workflows and has improved reliability for complex business integrations
One area where Integrate.io Platform could improve is around visibility and debugging. While the logging is helpful, it can sometimes take time to trace issues across multiple steps in a pipeline, especially when flows become complex. A more streamlined way to track data through each stage or clearer error messaging would make troubleshooting faster and more intuitive. Another improvement would be flexibility in handling edge cases. For standard transformations, it works well, but when business logic gets more complex, it can feel a bit limited without introducing workarounds. Having more advanced customization options without sacrificing the ease of use would be a big plus, in my opinion. Documentation clarity around existing pipelines was also something I felt could be better supported. Since integrations tend to evolve over time, having strong built-in documentation features or easier ways to understand dependencies between jobs would have helped, especially when onboarding someone new. I only stayed with this client for six months, so we needed to bring or train their team members to do this. Revisiting flows after a while would have been nice. The last thing would be performance transparency could be improved. Jobs generally run reliably, but having clearer insights into performance, such as bottlenecks, processing time per step, or optimizing suggestions would make it easier to fine-tune workflows as data volume grows. Part of my job, and what the client in this case wanted, was to scale in the future without having to change to another tool, so that would help a lot. I would say the platform is solid, but these kinds of improvements that I mentioned would make it even more efficient to manage at scale and over time.
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

"Integrate.io Platform has positively impacted my organization by reducing a lot of our workloads because we can make this replication faster and connect it with other connectors, and it also gives us this GPU that allows us to work faster."
"I think the platform helped them move forward towards a more streamlined, reliable, and scalable way of handling their data operations."
"Integrate.io Platform has helped simplify my data pipelines, as it is really good with Salesforce sync."
"Customer service is excellent, and I would rate it between eight point five to nine out of ten."
"I have saved 50 to 60% on maintaining pipelines since using Upsolver."
"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."
"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

"Customer support could be better. We often get replies that are delayed, and sometimes there is a lot of back and forth."
"Another improvement would be flexibility in handling edge cases. For standard transformations, it works well, but when business logic gets more complex, it can feel a bit limited without introducing workarounds."
"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."
"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."
"I would say Upsolver's scalability is eight out of 10 because of pricing."
"There is room for improvement in query tuning."
 

Pricing and Cost Advice

Information not available
"Upsolver is affordable at approximately $225 per terabyte per year."
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909,725 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Construction Company
14%
Outsourcing Company
9%
Comms Service Provider
9%
Financial Services Firm
9%
Real Estate/Law Firm
14%
Manufacturing Company
14%
Retailer
12%
Construction Company
11%
 

Company Size

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

Questions from the Community

What needs improvement with Integrate.io Platform?
I think Integrate.io Platform can be improved if there is a connector with all the cloud providers, mostly AWS or maybe GCP, to allow us to have this replication duplicated in our AWS infrastructur...
What is your primary use case for Integrate.io Platform?
My main use case for Integrate.io Platform is for database replications because it has a latency around 60 seconds. I use Integrate.io Platform mainly to integrate machine learning initiatives that...
What advice do you have for others considering Integrate.io Platform?
I would rate Integrate.io Platform a 10 out of 10. I chose this rating because I appreciate the latency and the fast replication that we have; our clients here want all the things fast, and they do...
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

DRIVEN APM, Xplenty
No data available
 

Overview

 

Sample Customers

GAP, Samsung, REA Group, TellApart, Pintrest, Expedia, CapitalOne, Oportun, Hotels.com, HomeAway, CommonwealthBank, D&B, DeerWalk
Information Not Available
Find out what your peers are saying about Integrate.io Platform vs. Upsolver and other solutions. Updated: August 2026.
909,725 professionals have used our research since 2012.