dbForge Studio (Edge) vs. Tableau Desktop

This tool is useful for small and large IT departments and associated data analysts that perform direct database functions such as DBA tasks or extracting/importing data. Non-technical staff members would not benefit from this tool as much as the functions are detailed and technical. However, automation engineers will find this tool very open for automation, and can generate the scripting code for any of its functions.

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The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).

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• Connection manager (we use it through ssh tunnels) works effortlessly.
• Great sync tools for both database schemas and data.
• Storing code snippets to be used when needed.
• Nice code suggestions while typing queries.
• Usually does very well with storing your session and opening all of your sql tabs when opening the apps next time.
• Does very well when executing large sql files (without opening the files into the application that is).
• Pretty good debugging help when a problem occurs in executing a query or a files with multiple queries.

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• An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
• Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.

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• The ability to parameterize searches more would be advantageous. For example, being able to specify to only look for certain columns, certain data type changes, etc.
• The output reports from dbForge are very plain and could contain more detail, and perhaps be structured more like a pivot table form Excel

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• Pricing should be more user-friendly and usage-driven
• Making edits to the production reports is fairly tough and has a vast scope of additional capabilities
• Tableau Desktop should be able to differentiate itself from the Tableau server else there is no major meaning of two different products being offered

Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.

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dbForge Studio (Edge) has a great UI and it's versatile, but it still has some glitches. Its multiple database support makes it possible to stick with only one UI to handle different RDBM systems, even though you have to redefine user credentials for each new connection (no copying/cloning feature for database connections). The Edit View and diagramming features also could be improved.

Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.

When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.

Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast

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Although experience here is limited, as only one question has been asked and answered promptly, the registration and licensing process was very smooth and professional. There are forums online that discuss dbForge issues, as well as a Facts and Questions section on dbForge's website, so product support does seem to exist if needed.

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Tableau support has been extremely responsive and willing to help with all of our requests. They have assisted with creating advanced analysis and many different types of custom icons, data formatting, formulas, and actions embedded into graphs. Tableau offers a weekly presentation of features and assists with internal company projects.

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It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.

I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems

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Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.

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Before choosing dbForge Studio I evaluated at least a dozen tools, especially on the Visual Query Builder function. For now, I have identified only one product that has a better Visual Query Builder than dbForge Studio. This other product also manages UNIONs, while dbStudio still doesn't do it visually. However, the better alternative product is enormously slower in operations and less feature-rich than DbForge Studio

I have used Power BI as well, the pricing is better, and also training costs or certifications are not that high. Since there is python integration in Power BI where I can use data cleaning and visualizing libraries and also some machine learning models. I can import my python scripts and create a visualization on processed data.

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Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.

• Saved a TON of time when looking at massive amounts of parent/child data by allowing us to just use the master-detail browser.
• Very little training time needed for employees that are already used to using SQL Management Studio. This is a proper Windows UI application.
• Very cost effective to purchase the standard edition for every employee that needs it, but the free edition does most of what they need too!

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• Tableau was acquired years ago, and has provided good value with the content created.
• Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
• Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info