Heroku is recommended for startups, small to medium-sized applications, hobby projects, and developers who value ease of use and quick deployment cycles. It is particularly suited for those who are developing web applications in languages such as Ruby, Node.js, Python, and others supported by the platform.
Tableau is recommended for data analysts, business intelligence professionals, and organizations that need to transform complex data into actionable insights. It is also suited for industries that rely on data-driven decision-making, such as finance, healthcare, and marketing, as well as any company looking to improve its data visualization capabilities.
Great service to build, run and manage applications entirely in the cloud!
Based on our record, Heroku should be more popular than Tableau. It has been mentiond 73 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Providers include Digital Ocean, Heroku or Render for example. - Source: dev.to / 8 months ago
Review Apps run the code in any GitHub PR in a complete, disposable Heroku application. Review Apps each have a unique URL you can share. It’s then super easy for anyone to try the new code. - Source: dev.to / about 1 year ago
The app is deployed to Heroku and when it came time to switch the mode to email-on-account-creation mode, it was a very simple environment change:. - Source: dev.to / over 1 year ago
Heroku is a cloud platform that makes it easy to deploy and scale web applications. It provides a number of features that make it ideal for deploying background job applications, including:. - Source: dev.to / almost 2 years ago
Once you've created it you can host it locally (this means leaving the program running on your computer) or host it through a service online. I haven't personally tried this yet, but I believe you can use a site like heroku.com or other similar services. Source: almost 2 years ago
Hey everyone, I'm interested in taking the Tableau Certified Data Analyst Exam Readiness course through tableau.com to prepare and get Tableau certified. I had some questions about the course, such as are the videos pre recorded or in person, do you have access to the material once the 90 days expire, and I was also wondering if anyone had input/advice for this course. Thanks! Source: almost 2 years ago
Could anyone recommend what media I should approach to publish my work (internet or print). I could try the Tableau forum in tableau.com but it's not very active + Tableau may be unappreciative as my work overlaps with their (pricey) data management solution. Plus it needs to be some high visibility / reputable media to count for my career development. Any recommendations welcome thanks!!! Source: over 2 years ago
Tableau public: tableau.com. Big player but your data will be made public and not really user-friendly data model. Source: over 3 years ago
For example, we have a project to compare Tableau, Power BI, and InetSoft. The need for strong pagination-based email delivery eliminated Tableau. AWS's Linux instance is the targeted platform which makes Power BI less than ideal. Source: over 3 years ago
I just started learning Tableau because our dept is transitioning into Tableau from Power BI. Since I already have years of experience with Power BI I just went over their tutorials from tableau.com and got onboarded pretty quick. I'm still learning it but I'm at least able to build out reports and get things done. Its not too difficult to pickup one BI tool when you have experience with another. Source: over 3 years ago
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Amazon AWS - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.
Sisense - The BI & Dashboard Software to handle multiple, large data sets.