Tableau
Microsoft Power BI
Looker
Qlik
Metabase
Sisense
Domo
QlikSense
Spring
Sniply.io
Animoto
DeepLink
Mountaintop Data
start a FIRE
PushEngage
flipRSS
TableauTableau 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.
Iโve used Tableau to analyze and present data for business reporting, and its strength is clearly in visualization. Turning raw data into interactive dashboards is fast once you understand how the tool works, and the end results look polished and professional.
However, getting to that point isnโt instant. New users may struggle with calculations, data modeling, and performance tuning. Licensing costs are also high, which can be difficult to justify for smaller teams or individual users.
Tableau works best for organizations that rely heavily on data-driven decisions and can invest time and budget into analytics. Itโs not the easiest or cheapest option, but the output quality makes it worthwhile
Based on our record, Spring seems to be a lot more popular than Tableau. While we know about 86 links to Spring, we've tracked only 8 mentions of Tableau. 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.
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: about 3 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 3 years ago
Tableau public: tableau.com. Big player but your data will be made public and not really user-friendly data model. Source: over 4 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 4 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 4 years ago
With Spring, data validation is a breeze in many common use cases (like validating a method's input parameters) - and is highly recommended for creating robust applications. - Source: dev.to / 4 months ago
This allows Java to have such goodies as reflection, dynamic proxies, ServiceLoader, and DI frameworks like Spring, Micronaut, or Quarkus. - Source: dev.to / 5 months ago
Let's rewind. Why did frameworks like Spring and Camel become so dominant? The reasons were clear and valid:. - Source: dev.to / 10 months ago
But Javas has so many of these web frameworks?! * Spring (https://spring.io/) * Spring Boot (https://spring.io/projects/spring-boot) * Helidon (https://helidon.io/) * Micronaut (https://micronaut.io/) * Quarkus (https://quarkus.io/) * JHipster (https://www.jhipster.tech/) * Vaadin (https://vaadin.com/) That's just to mention the bigger ones, there's lots of mini frameworks like Javalin (https://javalin.io/) and... - Source: Hacker News / over 1 year ago
Spring Boot simplifies Java backend development by providing a pre-configured setup. It's based on Controllers, Services, and Repositories. Controllers handle HTTP requests and routes. Services control the business logic flows. Repositories handle database operations. Check out the official spring documentation at spring.io. - Source: dev.to / over 1 year ago
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
Sniply.io - Add a call-to-action to every shortened link you share.
Looker - Looker makes it easy for analysts to create and curate custom data experiencesโso everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Animoto - Animoto turns your photos and video clips into professional video slideshows in minutes. Fast, free and shockingly simple - we make awesome easy.
Qlik - Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.
DeepLink - Deeplink is a deep linking platform for native apps, enabling app developers to link to specific pages inside their apps.
