Quest Foglight for Databases vs Toad Data Modeler comparison

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Quest Software Logo
3,531 views|1,288 comparisons
91% willing to recommend
Quest Software Logo
642 views|433 comparisons
94% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Quest Foglight for Databases and Toad Data Modeler based on real PeerSpot user reviews.

Find out in this report how the two Database Development and Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Quest Foglight for Databases vs. Toad Data Modeler Report (Updated: March 2024).
768,415 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Foglight is also able to help the DBAs proactively fix problems before they become an issue. It provides them with real-time activity screens that help in this regard. The DBAs are able to go to these screens and look at what's happening in real time, and that buys them time. It helps them see problems ahead of time and find solutions to them.""Its reporting capabilities are immense.""The ability to monitor multiple database platforms streamlines our database operations. The single pane of glass is what we were really after when we picked Foglight. We knew we wanted something that could monitor cross-platform because it does save a lot of time to use the same tool. The one thing that I like with Foglight is that we don't have to install anything locally, like agents, directly on the database servers. That was also a big seller because it simplifies things.""We can visualize all the different types of DB servers that we are monitoring in a single pane of glass. It uses a 360-degree overview of the database, for each of those databases that we are monitoring. That includes what kind of resource utilization is happening and what kind of DB parameters are getting monitored, as well as the different types of DB parameters that are being offered for each database type.""Foglight's Change Tracking capabilities are another huge feature. It is wonderful to be able to do that. People don't realize the amount of information that Foglight gathers from a given server or instance. It gets down to the version of SQL, the disk array, everything that's there. Any change that's made, any upgrade to SQL, shows up on the dashboard almost immediately. You don't know how much time you save just having a tool in your back pocket that does that for you.""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.""The PI module allows [my colleague] to identify which new indexes or modified indexes are going to make the biggest impact.""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."

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"It is not feasible for small businesses. It is not used in a small company.""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.""Auto-complete is the best feature of the solution."

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Cons
"The system is not that stable. We have been facing a lot of issues. We built a new store environment of Foglight, an environment for monitoring the Lowe's store servers, which are all Db2 servers. The objective is to monitor 800 Db2 servers in each Foglight instance. Up to 150 Db2 servers, the environment was working fine. The moment it crossed 150 or 160, we started having a lot of stability issues.""The data model needs improvement when it comes to creating custom reports. That is an area where it needs a bit of improvement. Foglight gathers a lot of information around our databases as part of its monitoring. While I know all this information is in there, trying to pull the metric we want out for custom reports is sometimes hard to find. One nice thing about Foglight is that you can create custom dashboards, which you can easily convert to reports. We would be doing a lot more of that if it weren't for the challenging data model.""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.""The version that I'm using is not the latest version, so there might have been some improvement, but the OS monitoring is a bit lacking, and the high-availability option is a bit complicated to set up and it doesn't work all the time.""When holding data for two years for 20 SQL Servers, the reporting becomes sluggish and unresponsive.""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 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.""One thing that I would like, and it's probably something that I could set up internally, is something other than a dashboard which I have to look at to know that a server is down. I'd like bells and whistles to go off... If I look at the dashboard I know there's a server down. But if I'm not looking at it, if I'm looking at some other problem, I want to know about it. You can do that, you can use SMSs and alerts to your phone, and I could set it up to handle that, but it would be nice if, out-of-the-box, Foglight did that."

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"Many users don't know how to add licensing to Toad, or where it is shown, so they could make that easier.""The product should provide better debugging features.""What could be improved in Toad Data Modeler is stability and the complex setup.""It is not feasible for small businesses. It is not used in a small company."

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Pricing and Cost Advice
  • "The price is worth it, if you have the time to go through the information."
  • "Compared to the other tools on the market, Foglight is okay in terms of pricing and licensing."
  • "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."
  • More Quest Foglight for Databases Pricing and Cost Advice →

  • "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."
  • More Toad Data Modeler Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: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… more »
    Top Answer:The licensing model is straightforward. From day one, we know about the charges and costs involved in a project. I rate the product’s pricing a five out of ten, where one is cheap and ten is… more »
    Top Answer:Some customers have issues with the way the data gets read and accumulated. They are expecting a different way of data monitoring. After explanation, they understand what exactly they are doing. Quest… more »
    Top Answer:Auto-complete is the best feature of the solution.
    Top Answer:The query and design could be improved. The product should provide better debugging features. It should also be easy to set up.
    Ranking
    Views
    3,531
    Comparisons
    1,288
    Reviews
    3
    Average Words per Review
    1,624
    Rating
    8.7
    Views
    642
    Comparisons
    433
    Reviews
    3
    Average Words per Review
    348
    Rating
    9.3
    Comparisons
    Also Known As
    Toad
    Learn More
    Overview

    Foglight identifies and resolves performance issues across your applications, databases and virtual environments. The Foglight family of products easily integrates with your existing tools, so you can monitor and analyze data from almost any source across your infrastructure and view it through a single interface with our customizable, unified monitoring platform

    Toad Data Modeler helps you create high-quality data models. This data modeling tool enables you to easily deploy accurate changes to data structures across more than 20 different platforms.

    Sample Customers
    CommitDBA
    Zions Bancorporation
    Top Industries
    REVIEWERS
    Retailer25%
    Sports Company13%
    Healthcare Company13%
    Financial Services Firm13%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Computer Software Company12%
    Government9%
    Insurance Company8%
    REVIEWERS
    Healthcare Company36%
    Logistics Company18%
    Marketing Services Firm9%
    Financial Services Firm9%
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Government15%
    Computer Software Company8%
    Manufacturing Company7%
    Company Size
    REVIEWERS
    Small Business20%
    Midsize Enterprise10%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise15%
    Large Enterprise65%
    REVIEWERS
    Small Business45%
    Midsize Enterprise10%
    Large Enterprise45%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise11%
    Large Enterprise70%
    Buyer's Guide
    Quest Foglight for Databases vs. Toad Data Modeler
    March 2024
    Find out what your peers are saying about Quest Foglight for Databases vs. Toad Data Modeler and other solutions. Updated: March 2024.
    768,415 professionals have used our research since 2012.

    Quest Foglight for Databases is ranked 2nd in Database Development and Management with 10 reviews while Toad Data Modeler is ranked 9th in Database Development and Management with 18 reviews. Quest Foglight for Databases is rated 8.6, while Toad Data Modeler is rated 8.4. The top reviewer of Quest Foglight for Databases writes "Excels at displaying intensive database queries and enables me to address things before they become real problems". On the other hand, the top reviewer of Toad Data Modeler writes "Along with an initial setup that is straightforward, the solution offers excellent support to users". Quest Foglight for Databases is most compared with Quest Spotlight, Oracle Enterprise Manager, SolarWinds Database Performance Analyzer, IDERA SQL Diagnostic Manager for SQL Server and Redgate SQL Toolbelt, whereas Toad Data Modeler is most compared with Oracle SQL Developer, IDERA ER/Studio, Aqua Data Studio, Redgate SQL Toolbelt and Toad Edge. See our Quest Foglight for Databases vs. Toad Data Modeler report.

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    We monitor all Database Development and Management 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.