GitGuardian vs. Tableau Desktop

I do think it'll absolutely fit everyone who codes integrates with another platform or services. We all forget that one credentials one in a while, and especially those who managed public repository, it is important to keep an eye on accidentally committed credentials. While I think you don't really needs it for personal project, it's a nice to have, you don't want to waie up to 50k USD of sudden surcharge on resources you don't use.

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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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• GitGuardian monitors every public or private GitHub commit ( that have GitGuardian installed) and event in real-time for secrets and sensitive data. In a leak scenario it immediately notifies us.
• It uses sophisticated pattern matching techniques to detect credentials that cannot be strictly defined with a distinctive pattern (like unprefixed credentials)
• It covers several API providers, database connection strings, private keys, certificates, usernames and passwords etc
• GitGuardian have high True Positive Rate of around 91% and reduces alert fatigue with smart occurrences regrouping

• 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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• Improved user interface: It would be beneficial to have a more intuitive and user-friendly interface for Internal Monitoring on GitGuardian. This would make it easier for users to quickly access the data they need and understand the results of their scans.
• Automated alerts: It would be helpful to have automated alerts when certain conditions are met, such as when a scan reveals sensitive data or when a new repository is created. This would help users stay informed and take action in a timely manner.
• More detailed reports: Currently, Internal Monitoring reports are limited in terms of the depth of information they provide. It would be useful to have more detailed reports that include additional metrics, such as the number of repositories scanned and the types of sensitive data found.
• Faster scan times: Scan times can be slow at times, making it difficult to stay on top of changes in repositories quickly. It would be beneficial to have faster scan times so that users can take action quickly when needed.

• 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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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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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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I've evaluated quite a few other tools, like git-secrets, Git-leaks, scan, and maybe a few more. They're all great but quite surprisingly none of them detected Github OAuth Secrets for us. A lot of the FOSS tools out there focus on much simpler, generic secrets, which is good in itself but with GitGuardian, it was dead simple from day one. I just connected our Github Account and set up the gg-shield cli and that was all.

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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.

• GitGuardian Internal Monitoring has had a positive impact on our overall business objectives. By providing visibility into our code repositories and alerting us to potential security risks, we have been able to identify and mitigate security issues before they become a problem. This has allowed us to focus more on developing our product and less on responding to security incidents. We have also seen an increase in customer confidence in our product as a result of using GitGuardian Internal Monitoring, which has led to increased customer loyalty and retention. Overall, the ROI of using GitGuardian Internal Monitoring has been very positive for our business.
• We have seen an increase in the security of our codebase, as well as an improvement in the speed and accuracy of our code reviews. This has enabled us to quickly identify and address any potential security issues before they become a problem. Additionally, we have seen an increase in our ROI as a result of using GitGuardian Internal Monitoring, as it has allowed us to save time and money by preventing costly security breaches.
• No more.

• 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.

Incentivized

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