CloverETL vs Toad Data Point comparison

Javlin and Quest Software are both solutions in the Data Integration category. Javlin is ranked #57, while Quest Software is ranked #21 with an average rating of 8.8. Javlin holds a 0.8% mindshare in DI, compared to Quest Software’s 0.8% mindshare. Additionally, 100% of Javlin users are willing to recommend the solution, compared to 100% of Quest Software users who would recommend it.

CloverETL

Read 2 CloverETL reviews

1,146 Views
699 Comparison Views

100% willing to recommend

Toad Data Point

Read 8 Toad Data Point reviews

1,484 Views
1,024 Comparison Views

100% willing to recommend

CloverETL

Toad Data Point

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

CloverETL and Toad Data Point are competing products in the data management and integration space. Toad Data Point has the upper hand due to its comprehensive data connectivity and analysis capabilities.

Features: CloverETL manages complex data transformation processes with robust capabilities, offers flexibility in integrating various data sources, and is noted for its scalability in large-scale projects. Toad Data Point provides extensive data connectivity options, advanced analytics, and strong data visualization tools, making it valuable for business intelligence and data analysis tasks.

Ease of Deployment and Customer Service: CloverETL has a straightforward deployment process with reliable customer support that ensures quick setup and assistance. Toad Data Point, while stable during deployment, features a comprehensive support structure suited for diverse technical queries and analytics needs, enhancing its adaptability for complex implementations.

Pricing and ROI: CloverETL offers a more budget-friendly setup leading to good ROI for organizations focused on data transformation. Toad Data Point, despite higher initial costs, delivers strong ROI through advanced analytics and data insights, making it worthwhile for data-intensive enterprises.

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

Buyer's Guide

CloverETL vs. Toad Data Point

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

CloverETL

Ranking in Data Integration

57th

Average Rating

7.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Visualization (34th)

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)

Mindshare comparison

As of March 2026, in the Data Integration category, the mindshare of CloverETL is 0.8%, up from 0.1% compared to the previous year. The mindshare of Toad Data Point is 0.8%, up from 0.4% 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%
CloverETL	0.8%
Other	98.4%

Data Integration

Featured Reviews

it_user856614

Lead Programmer at a healthcare company with 10,001+ employees

Very easy to schedule jobs and monitor them, however we run out heap space even with a high allocation

Flexibility: We can bring in data from multiple sources, e.g., databases, text files, JSON, email, XML, etc. This has been very helpful Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility. Server features for scheduler: It is…

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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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Quotes from Members

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

Pros

"Familiar, intuitive GUI coming from a Java development background, in-depth, descriptive, and well-laid-out documentation, responsive support through forums directly from Clover staff, a wealth of customizable pre-defined components, descriptive logging for error messages, and ease of install with a light footprint make it very effective to use."

"Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility."

"Server features for scheduler: It is very easy to schedule jobs and monitor them. The interface is easy to use."

"We switched to CloverETL because of its flexibility to connect to various data sources and no dependence on native language and ease of use."

"No dependence on native language and ease of use."

"Key features include wealth of pre-defined components; all components are customizable; descriptive logging, especially for error messages."

"Toad Data Point made our query testing a lot faster and more efficient, and we saw a lot of time-saving in our development process."

"We love it."

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

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

"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."

"The most valuable features of Toad Data are you could write a parameterized query and it wouldn't error out, it would give you the parameters that you could input. The auto-formatting feature is useful because it was great for keeping your queries neat and understandable. The auto comment, and uncomment toggles that you could do were convenient."

"What I like the most about Toad Data Point is the automation feature, which is mostly useful for us, and I have not found it in any other systems that I have worked with so far, and it can easily schedule any automation tasks that we provide."

"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."

More Toad Data Point pros

Cons

"Needs: easier automated failure recovery; more, and more intuitive auto-generated/filled-in code for components; easier/more automated sync between CloverETL Designer and CloverETL Server."

"Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough."

"Its documentation could be improved."

"Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough."

"Needs easier automated failure recovery, more and more intuitive auto-generated or filled-in code for components, and easier or more automated sync between CloverETL Designer and CloverETL Server."

"What could be improved is probably the user interface."

"On the scheduling server, some scheduled reports just sit there and never execute for the first time. After manually executing the first time, they run with no issues."

"Toad Data could improve by having additional features, such as query prediction. This could help someone who's not the strongest programmer. If the software could help them write queries correctly it would be very helpful, especially for small development teams or teams that lack the input skills necessary to write and program efficiently."

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

"The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version."

"The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version. Scalability is difficult when it is that costly."

"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."

More Toad Data Point cons

Pricing and Cost Advice

Information not available

"The cost of this product is reasonable."

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

"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."

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Top Industries

By visitors reading reviews

Construction Company

27%

Manufacturing Company

13%

Computer Software Company

10%

Retailer

Financial Services Firm

22%

Healthcare Company

10%

Manufacturing Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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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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Product Reports

Buyer's Guide

Data Integration

March 2026

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Buyer's Guide

Toad Data Point

March 2026

Download Toad Data Point product report

Overview

CloverETL is a rapid, end-to-end data integration solution. Businesses choose CloverETL for its usability and intuitive controls, along with its lightweight footprint, flexibility, and processing speed. Achieving true, rapid data integration means much more than just raw data processing power. Rapid refers to an end-to-end process that begins the moment a data-related problem is recognized to the point when the data is in the right place and form to be analyzed and monetized.

Javlin

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

Sample Customers

IBM, Oracle, MuleSoft, GoodData, Thomson Reuters, salesforce.com, Comcast, Active Network, SHOP.CA

Concordia University

Buyer's Guide

CloverETL vs. Toad Data Point

March 2026

Free Report: CloverETL vs. Toad Data Point

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