Oracle Java SE Subscription vs. Tableau Desktop

The Oracle Java SE Subscription is a useful service that can support larger organizations that need to implement quick feature development and need to do so with maximum support with minimal fuss. Performance can vary due to the nature of Javas JVM having to boot upon every start and there can be some compatibility issues with a few third-party systems. Smaller organizations would be better off utilizing Java SDK or OpenJDK as these are free but don't have the benefit of direct support from Oracle. If a larger organization has a long history of using Java and has legacy systems running on older versions of Java, then the extra support needed will more than justify the cost If you are heavily invested in Java and need to support applications running on older versions such as Java 8, or you want to use OracleJDK, then you would want to consider getting the subscription for its support and patches.

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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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• Collect in an inventory all versions of Java that have been used in different applications.
• Determine the status of old versions of Java and update or apply essential security patches.
• Oracle Support is the best to be able to solve problems in an agile and safe way.
• Fast update cycles to make new features available.

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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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• AMC Usage details hard to Decipher and Categorize
• AMC JRE Upgrades have very limited Scheduling of Deployments, should be more like SCCM. Where you know exactly when deployments are going out. Not just when the Agent decides to check in.
• Cost is WAY too high

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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

It provides an affordable way to protect your investment.

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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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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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As I mentioned before, quality of support from Oracle Java SE Subscription is extraordinary. The speed of resolution and the expertise of the staff is really appreciated. We raised a high priority support incident which blocked our process [and] Oracle Java SE support did a quick analysis and provided a solution which took less time than we expected. They also help us in installing patches and updates whenever required.

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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 more suitable and effective to opt for Oracle Java SE Subscription to receive enhanced support for your Java SE Applications. The support team is highly qualified and technically sound to manage your Java SE Applications properly. Also they are available 24*7 to make sure applications are up-to-date.

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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.

• Code portability allowed us to run the same code on all platforms
• Security is always a key issue especially in the world of increasing cybersecurity laws. It only makes sense to invest in a secure development environment
• Developers appreciate rich community support for java se platform

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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