Foglight for Databases vs Toad Data Modeler comparison

Why PeerSpot?

Foglight for Databases and Toad Data Modeler are both solutions in the Database Development and Management category. Foglight for Databases is ranked #1 with an average rating of 8.5, while Toad Data Modeler is ranked #10 with an average rating of 9.0. Foglight for Databases holds a 3.6% mindshare in DDM, compared to Toad Data Modeler’s 3.0% mindshare. Additionally, 96% of Foglight for Databases users are willing to recommend the solution, compared to 94% of Toad Data Modeler users who would recommend it.

Foglight for Databases

Read 24 Foglight for Databases reviews

4,479 Views
4,434 Comparison Views

96% willing to recommend

Toad Data Modeler

Read 19 Toad Data Modeler reviews

3,065 Views
2,697 Comparison Views

94% willing to recommend

Foglight for Databases

Toad Data Modeler

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 1, 2026

Toad Data Modeler and Foglight for Databases operate in the database software category, with Toad focusing on modeling and Foglight on monitoring and management. While Toad excels in design features, Foglight holds an advantage in terms of performance tracking and analytics.

Features:Toad Data Modeler offers comprehensive schema engineering, an intuitive interface for creating and managing database models, and effective tools for database schema generation and re-engineering. Foglight for Databases provides advanced monitoring tools, real-time diagnostics, and superior performance analytics, along with SQL PI for in-depth query analysis and the ability to monitor multiple database platforms.

Room for Improvement:Toad Data Modeler could benefit from enhanced real-time monitoring capabilities, a more detailed analytical suite, and integration with more diverse database environments. Foglight for Databases may improve by simplifying its UI, enhancing support for additional database systems, and reducing its initial complexity for new users.

Ease of Deployment and Customer Service:Toad Data Modeler is known for its straightforward deployment and robust customer support, guiding users through installation with ease. Foglight for Databases, while offering extensive configuration options, may require more time for setup but is supported by comprehensive customer service for complex environments.

Pricing and ROI:Toad Data Modeler is competitively priced, often proving cost-effective for those focusing on efficient database modeling and schema management. Foglight for Databases, though more expensive upfront, justifies its cost with significant ROI for organizations needing detailed monitoring and analytics.

To learn more, read our detailed Foglight for Databases vs. Toad Data Modeler Report (Updated: September 2026).

Buyer's Guide

Foglight for Databases vs. Toad Data Modeler

September 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

Foglight for Databases

Ranking in Database Development and Management

1st

Average Rating

8.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Toad Data Modeler

Ranking in Database Development and Management

10th

Average Rating

8.4

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2026, in the Database Development and Management category, the mindshare of Foglight for Databases is 3.6%, down from 5.2% compared to the previous year. The mindshare of Toad Data Modeler is 3.0%, down from 3.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Database Development and Management Mindshare Distribution
Product	Mindshare (%)
Foglight for Databases	3.6%
Toad Data Modeler	3.0%
Other	93.4%

Database Development and Management

Featured Reviews

AkshayChaudhari

Data specialist at TCS

Centralized monitoring has reduced troubleshooting time and improves visibility across databases

I would improve the user interface of Foglight for Databases, as I feel it is somewhat complex, especially when using the specific troubleshooting view, particularly for new users. I would also appreciate more flexibility when customizing the dashboards and alerts, so better prioritization based on impact would be beneficial. Reporting could also be more straightforward with more ready-made reports and easier customization. Clearer recommendations during troubleshooting would help users move from identifying a problem to understanding the likely root cause. There is still room for improvement in the user interface, reporting, and alert customization, but overall Foglight for Databases has been valuable.

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KaiQuale

Senior engineer at a government with 201-500 employees

Creates intuitive diagrams with comprehensive control over relationships

1) When updating a model after generating a schema, if only a few tables are imported, the tool assumes you want to delete the rest. If you have a large model, you repeatedly have to clarify that you don't want to delete each one. 2) If one could view the same model on physical, logical, and conceptual levels while retaining all information specific to each level (including layout), that would be excellent.

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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

"Its reporting capabilities are immense."

"One of the hardest things to do in database management is to evaluate performance deviation across time. The adaptive baseline that Quest is using is by far the most helpful. That doesn't necessarily mean I use it on a daily basis, but it is something that I have not been able to find in any other tool, at the same level."

"We went from basically 30% coverage of our production environment to 100% coverage."

"Using Foglight for Databases has been beneficial because it is a third-party tool that already has all of Dell's or Quest's experience, adding value in terms of ROI mainly through three avenues: less diagnostic time, fewer prolonged incidents, and less operational inefficiency."

"It can save time and effort when doing root cause analysis. It enables me to obtain information quicker and easier compared to manually compiling it."

"Foglight for Databases has helped us reduce the time we spend monitoring and troubleshooting database issues."

"The alarms alert proactively if there are any potential or ongoing issues with the databases that we support. That means we can take preventive or corrective action before the issue becomes a big issue. And the SQL PI features enable us to drill down into performance issues in our databases so that we can improve performance, which is important."

"I do not find anything I dislike about Foglight for Databases."

More Foglight for Databases pros

"I found all features valuable and necessary in Toad Data Modeler, particularly how good the solution is for modeling, database schema generation, and database re-engineering. I also found Toad Data Modeler straightforward to use."

"SQL Developer is much better than it was."

"The feature I really like is the graphical part, especially the control of the relationships, because you can move them around any way you want, which makes it easy to create a comprehensive and easy-to-understand diagram."

"This product is fast to learn and a user-friendly tool."

"Toad allowed us to run the query on the cloud DB and return data from the query, making things much faster."

"It is a very good option for creating and editing SQL scripts, especially large ones that I have run in support of government billing applications."

"The feature I really like is the graphical part, especially the control of the relationships."

"With Toad, all the users have the same database on the server rather than local individual databases which creates a lot of duplication."

More Toad Data Modeler pros

Cons

"I would like the rule development code to be made available so we don't always have to be referred to professional services for custom solutions. For example, if we want to exclude certain databases from a particular rule, we shouldn't have to go to support and to professional services for that solution. If the code and syntax were available, we have resources that could quickly turn something like that around."

"I think Foglight for Databases could improve its user interface. It can be complex to navigate sometimes, especially when you are trying to troubleshoot a specific issue."

"The system is not that stable; we started having a lot of stability issues once the environment crossed 150 or 160 Db2 servers, with the Agent Manager restarting every five minutes and generating a lot of alerts."

"The data model needs improvement when it comes to creating custom reports."

"Foglight for Databases could benefit from fewer generic alerts and more rules based on impact, priority, and action path, which would make it more useful for daily operations, on-call shifts, and incident follow-up."

"It would be amazing if they could enable the "Performance Investigator" functionality across all database platforms."

"When we decided to go with Foglight, a lot of people stopped using the diagnostics part because it was very intimidating... They still won't use it because they feel it's too intimidating. They will open something up and not know what to do. It's not very user-friendly. You have to click on a lot of stuff to find the information."

"I get a lot of alerts that, while important, are not critical. Then I have to dig in and figure out how to turn alerts off, but not the logging. I want to be able to go back, once we get the other big issues out of the way, and start fine-tuning some of those other areas, but I don't necessarily want to receive an email for all of them."

More Foglight for Databases cons

"The one thing about it is that there are almost too many features and options; some we don’t even use."

"It is not feasible for small businesses. It is not used in a small company."

"Reverse engineering the physical schema is complex and can be made easier."

"Many users don't know how to add licensing to Toad, or where it is shown, so they could make that easier."

"What could be improved in Toad Data Modeler is stability and the complex setup."

"The product should provide better debugging features."

"There were issues due to the databases connectivity."

"When updating a model after generating a schema, if only a few tables are imported, the tool assumes you want to delete the rest, which is cumbersome."

More Toad Data Modeler cons

Pricing and Cost Advice

"It is cost-effective. With our EA, it is really based on the scale of our database environment. We found the Quest team to be reasonable and flexible when it comes to pricing and scaling of licenses."

"This is like the "Cadillac" of performance monitoring software. It's not cheap... I am currently with a company that I was able to convince that the product is worth the cost."

"Pricing is very reasonable. We were able to construct a pretty easy contract with Quest, who were very easy to work with and very amenable to what we are trying to do. It worked out well for us."

"Compared to the other tools on the market, Foglight is okay in terms of pricing and licensing."

"The price is worth it, if you have the time to go through the information."

"The price of Foglight could be a little more competitive in Chile, and it should be lowered for long-time customers— at least by 20 percent. Sometimes the price is a limitation. We have seven instances and nearly 5 million users. If Quest Foglight could reduce its prices for the clients that have been with it for a long time, we would be able to have more instances."

"Though I'm not involved in the licensing for Toad Data Modeler, I believe it's per user and not cheap."

"Price-wise, the lesser it is, the better it is for me, especially in Egypt. I think that the licensing cost ranges from 1,000 to 9,000. Also, it includes maintenance and support for a year."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Outsourcing Company

11%

Manufacturing Company

Government

Financial Services Firm

13%

Comms Service Provider

Manufacturing Company

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	2
Large Enterprise	19

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	4
Large Enterprise	9

Questions from the Community

What is your experience regarding pricing and costs for Quest Foglight for Databases?

I have had a good experience with the licensing costs of Foglight for Databases, as we have a provider who has given us good prices, and so far we have not had any cost problems. Regarding configur...

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What needs improvement with Quest Foglight for Databases?

Overall, I am happy with the product, but there are a few areas where it could be improved. First, I think the user interface could be more modern and intuitive, especially for new users. Some dash...

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What is your primary use case for Quest Foglight for Databases?

My main use case is database performance monitoring and troubleshooting. As a developer, I use Foglight for Databases to understand whether database performance is contributing to an application is...

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What is your experience regarding pricing and costs for Toad Data Modeler?

Considering its functionality, I would rate its pricing as a seven out of ten. It could be cheaper yet is still pretty good.

See all answers

What needs improvement with Toad Data Modeler?

See all answers

What is your primary use case for Toad Data Modeler?

There are two main use cases. One is reengineering an existing model and making changes from a database. The other is making a new model from scratch. These use cases involve all kinds of systems, ...

See all answers

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Product Reports

Buyer's Guide

Foglight for Databases

September 2026

Download Foglight for Databases product report

Buyer's Guide

Database Development and Management

August 2026

Download Toad Data Modeler product report

Also Known As

No data available

Toad

Overview

Foglight for Databases offers comprehensive monitoring with real-time activity screens and adaptive baselines. It provides a 360-degree overview and efficient UI, requiring no custom scripts, aiding in proactive issue identification and resolution before impacting end users.

Foglight for Databases is a robust tool for monitoring across multiple platforms, including SQL and Oracle. It provides features like the "Morning Coffee" dashboard and SQL Performance Investigator, enabling effective workload analysis and historical investigation. Despite some challenges with sluggish performance on large data volumes and excessive non-critical alerts, it remains a preferred choice for its ability to support proactive management and resource planning. Users appreciate its centralized view of extensive database systems, enabling swift detection and resolution of issues in real-time.

What are the key features?

Comprehensive Monitoring: Provides cross-platform real-time monitoring, ensuring effective database management.
Adaptive Baselines: Adjusts to various workloads, enhancing monitoring accuracy.
SQL Performance Investigator: Offers detailed workload analysis without server impact.
Proactive Alerts: Delivers timely notifications, aiding in immediate issue resolution.
Efficient UI: Streamlines user interaction, minimizing the need for custom scripts.

What benefits and ROI should be considered?

Time Saving: Reduces time in root cause analysis, enhancing productivity.
Proactive Management: Detects issues before they affect end users, minimizing downtime.
Resource Planning: Aids in effective allocation planning for enterprise and cloud platforms.

Foglight is extensively implemented in industries managing extensive database systems, handling numerous servers to ensure availability and performance. It assists businesses in resolving blocking and locking deadlocks, crucial for maintaining smooth operations in production and development environments.

Quest Software

Toad Data Modeler is a versatile modeling tool with a robust GUI and an intuitive Query Builder, supporting a wide range of databases including flat-files. It facilitates seamless database schema generation and efficient administration for environments like Oracle, SQL Server, and Postgres.

Designed to meet the needs of database administrators and developers, Toad Data Modeler enables users to create, modify, and manage data models across heterogeneous databases. With features including SQL formatting, cross-database queries, and report automation, it provides comprehensive support for database tasks. Compatibility with Windows 10/11 and functionalities like auto-complete and script editing make it a preferred choice. However, users indicate challenges with performance issues such as crashes, slow query execution, and complex reverse engineering tasks. Improving documentation and interface usability are areas of potential enhancement. Compatibility with Python and better licensing procedures could also strengthen its position in the market.

What are the key features of Toad Data Modeler?

Robust GUI: Intuitive interface for ease of use across tasks.
Query Builder: Easy-to-use tool for constructing queries.
Heterogeneous Database Support: Compatible with various databases including flat-files.
SQL Formatting: Streamlines SQL coding processes.
Cross-database Queries: Facilitates combined database operations.
Report Automation: Automates report generation tasks.
Schema Generation: Helps in creating and modifying database schemas.
Auto-complete: Enhances script editing efficiency.
Windows 10/11 Compatibility: Supports the latest operating systems.
Graphical Relationship Management: Visualizes and manages database relationships.

What benefits should users expect in reviews?

Efficient Database Administration: Simplifies database management tasks.
Fast Learning Curve: Users can quickly become proficient.
Enhanced Query Optimization: Improves performance efficiency in database operations.
Data Comparison: Assists in maintaining data integrity.
Table Import/Export: Facilitates data movement between systems.

In industries like software development and data analytics, Toad Data Modeler is implemented to manage large data volumes, ensuring accurate and efficient database updates. Organizations use it for designing new models or re-engineering existing databases, which is vital for systems requiring high availability and consistent performance.

Quest Software

Sample Customers

CommitDBA

Zions Bancorporation

Buyer's Guide

Foglight for Databases vs. Toad Data Modeler

September 2026

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