OpenText Availability vs. Tableau Desktop

I believe it would work well with continuous replication in a DR scenario with no time limits and having the ability to fail back is a bonus, but in a one off move the decision to restrict the time it can sync for has proven to be an issue for us.

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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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• A product is worthless in my opinion if you don't have a great support team to work with. I've had issues with replication jobs that were resolved quickly and easily by the support team.
• DR - Doubletake is the only tool that I'm aware of that can handle DR replication of both physical and virtual environments. There sre others, but they use a snapshot technology, where doubletake has continuous replication of data.
• Move - we have moved physical and virtual environments from around the world without ever having to leave the office. One of the companies we migrated started off with their equipment in Switzerland, and after the servers were in a fully protected state in the US, that failover to the new location took 45 min.

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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 initial set-up can be challenging in some regard.
• Would like to see version updates that support all OS. Unfortunately we use several OS and are on an older version with 7 of our 8 servers.
• Will be doing the upgrades to version 8 shortly and hope the software is compatible with all OS.

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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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Cabonite Availability is a very practical and useful tool that can help any business weather any type of IT disaster. The ease and quickness of restoring data helps us provide as seamless an experience as possible. Many times our customers will never know there was an outage. This brings confidence in our brand and improves our organization's standing and reputation.

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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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Once through to support it is very good and they have assisted us through a number of issues. I don't always think that they provide a solution, more a workaround, but in a move situation where each copy is moving once, that isn't an issue. I'd be more concerned if we were using it to manage a DR scenario.

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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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It is better for critical apps than Veeam due to the lower RPO. Veeam is favoured by some customers due to it's attractive price point. Zerto is a very strong product and is innovating continuously. I don't see so much of this from DoubleTake.

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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.

• From data recovery perspective for customers- Carbonite DoubleTake is a good solution.
• The honest price for Carbonite DoubleTake and for the ROI -it's a good transaction for the customer.

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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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