ManageEngine OpManager vs. Tableau Desktop

Manage Engine OpManager is better suited to serve server and network admins at organization to monitor their servers and network devices. It helps us with compliance with the reports available like utilization reports and capacity planning reports. It helps you to keep track of what all process are consuming the resources. It helps you in monitoring what is happening in your switches, routers and firewall

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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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• It measures the CPU utilization of hosts, the network bandwidth utilization of links, and other aspects of the operation
• It often sends messages—sometimes called watchdog messages—over the network to each host to verify if it is responsive to requests.
• Set Up Notifications And Reports.
• OpManager offers a set of advantages that allow it to adapt to the needs of the company, guaranteeing effective monitoring of the application networks used in our organization.

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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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• Alerts has to be configured correctly otherwise unnecessary bombarding of alerts can cause inconvenience.
• The server on which ManageEngine OpManager is to be deployed should have higher resources as monitoring a large number of devices may slow down the performance of the system.
• Configuring the advanced features may require a learning curve.

• 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

This product works very well for our organization, and it would be hard to not have a tool like this going forward

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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The rating I provided is based on the product quality, experience (I have been using OpManager for almost the last 4 years), and relevance of the information/response I generated through Manage Engine OpManager. I have also received good support from OpManager.

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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At first, we were not able to add our Avaya switches to the configuration backup module, our partner tried to help, but they did not find the solution, we had one remote session with tech support of ME and they solve the problem.

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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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During our competitive analysis, we found ManageEngine OpManager was not expensive compared to other vendors. At the same time, there was no compromise on the features such as customized reporting or configuring alerts per our clientele's unique requirements. These are our client words "Other vendors ask us to pay more $$$ for enabling additional email alerts".

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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.

• I don't know if you can calculate ROI with a monitoring solution, there are more factors to calculate.
• We found a really big problem with a network switch (faulty transceiver) in a trunk configuration with OPManager. this caused us serial troubles with the overall network stability.
• We are loosing around € 3.000 to 5.000 per hour if our network is not working so this was a great help to fix this issue
• Our label printers are really important to monitoring in our warehouse system, this makes OPManager a great solution for that

• 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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Independently Invited by TrustRadius

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