Toad Data Point vs Upsolver comparison

Quest Software and Upsolver are both solutions in the Data Integration category. Quest Software is ranked #21 with an average rating of 8.8, while Upsolver is ranked #39 with an average rating of 8.3. Quest Software holds a 0.8% mindshare in DI, compared to Upsolver’s 0.7% mindshare. Additionally, 100% of Quest Software users are willing to recommend the solution, compared to 100% of Upsolver users who would recommend it.

Toad Data Point

Read 8 Toad Data Point reviews

1,484 Views
1,024 Comparison Views

100% willing to recommend

Upsolver

Read 3 Upsolver reviews

869 Views
704 Comparison Views

100% willing to recommend

Toad Data Point

Upsolver

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Toad Data Point and Upsolver based on real PeerSpot user reviews.

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

To learn more, read our detailed Toad Data Point vs. Upsolver Report (Updated: March 2026).

Buyer's Guide

Toad Data Point vs. Upsolver

March 2026

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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

Toad Data Point

Ranking in Data Integration

21st

Average Rating

8.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Preparation Tools (3rd)

Upsolver

Ranking in Data Integration

39th

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Streaming Analytics (21st)

Mindshare comparison

As of March 2026, in the Data Integration category, the mindshare of Toad Data Point is 0.8%, up from 0.4% compared to the previous year. The mindshare of Upsolver is 0.7%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Toad Data Point	0.8%
Upsolver	0.7%
Other	98.5%

Data Integration

Featured Reviews

Sudunagunta Bhavya Lekha

Junior Data Analyst at Lumendata

Drag-and-drop workflows have accelerated cross-database analysis and simplified daily reporting

I consider user interface modernization in Toad Data Point to be an area for improvement; it could be enhanced with a more modern, web-based look and smoother navigation, focusing on better UX and dashboard customization. Real-time collaboration could benefit from trying Git-style integration, which would strengthen team collaboration features. Performance with large data sets sometimes slows down our workflows, so implementing a better optimization engine specifically for big data workflows could enhance functionality, along with improvements in cloud-native deployment for better browser access. For the dashboarding feature, I believe Toad Data Point could improve by offering more interactive dashboards and advanced visualizations beyond the current basic charts and pivots. Implementing capabilities such as drill-down, interactive filters, and dynamic parameter selections would align more with BI-style interactivity. Visualizations compared to tools such as Microsoft Power BI or Tableau are quite limited, so enhancing this area with cloud-hosted interactive dashboards and seamless auto-refresh options would greatly improve user experience.

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reviewer2784462

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.

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Quotes from Members

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

Pros

"I would estimate that Toad Data Point saves me about 30 to 70 percent of my time depending on the work type."

"The best thing about it is its automation features."

"With Toad Data Point, I can automate most steps automatically."

"We had an unsupported version of Hyperion that needed to be replaced, and Toad Data Point allowed us to quickly transition to a similar solution and to easily convert all of our preexisting queries (more than 300) to the new solution with minimum effort."

"The Connectivity and Connection Manager supports a broad number of connection types, and it is trivial for end-users to set up their own connections to sources."

"One of the greatest features is that you can get data from anywhere to anywhere with Toad Data Point."

"It provides better SQL development tooling than SQL Developer, which is not a sufficient tool for all development use cases. It offers power developers the tools they need."

"We love it."

More Toad Data Point pros

"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."

"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."

Cons

"I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky."

"On the scheduling server, some scheduled reports just sit there and never execute for the first time."

"Visualizations compared to tools such as Microsoft Power BI or Tableau are quite limited, so enhancing this area with cloud-hosted interactive dashboards and seamless auto-refresh options would greatly improve user experience."

"It's not user-friendly. Once you start using it, you eventually get to know the features."

"Toad Data could improve by having additional features, such as query prediction."

"It's not user-friendly. Once you start using it, you eventually get to know the features."

"However, when accessing large data volumes and running complex queries like nested queries or stored procedures, Toad Data Point might get hung during those operations, which is the only significant challenge I encounter."

"I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky."

More Toad Data Point cons

"I think that Upsolver can be improved in orchestration because it is not a full orchestration tool."

"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."

"There is room for improvement in query tuning."

"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."

Pricing and Cost Advice

"The Mac licenses are expensive, costing 1,600 dollars each. This is much higher than for the Windows version. I maintain a very limited number of licenses due to this cost."

"The price of Toad Data Point was approximately $500 annually."

"The cost of this product is reasonable."

"Upsolver is affordable at approximately $225 per terabyte per year."

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Healthcare Company

10%

Manufacturing Company

Retailer

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 Toad Data Point?

The pricing for Toad Data Point is where it gets into trouble. Microsoft is free, so if you get SQL Server, you get all the other stuff with it. You have to use several Microsoft tools that don't a...

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What needs improvement with Toad Data Point?

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What is your primary use case for Toad Data Point?

We are working for US banking, and for that, we have a project where we are using PowerCenter along with ETL; in that, we are using Toad Data Point for the SQL queries. Drag-and-drop functionality ...

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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, ...

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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...

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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...

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Product Reports

Buyer's Guide

Toad Data Point

March 2026

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Buyer's Guide

Data Integration

March 2026

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Overview

Toad Data Point is a cross-platform, self-service, data-integration tool that simplifies data access, preparation and provisioning. It provides nearly limitless data connectivity, desktop data integration, visual query building and workflow automation.

Quest Software

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

Concordia University

Information Not Available

Buyer's Guide

Toad Data Point vs. Upsolver

March 2026

Free Report: Toad Data Point vs. Upsolver

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