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Tableau
StackGresTableau 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.
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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
StackGres might be a bit more popular than Tableau. We know about 10 links to it since March 2021 and only 8 links to 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: almost 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
At StackGres [1] we find Timescale to be one of the most used extensions. Timescale is quite a successful project! StackGres is actually the first solution recommended by Timescale for self-hosting with Kubernetes operators [2]. So if you are into Kubernetes (or if not, consider it, using something like K3s [3] is quite straightforward and lightweight on resources), this is probably a great option to self-host... - Source: Hacker News / 19 days ago
* Latency. Yes, yes, yes, they add "microseconds" vs "milliseconds for queries", and that's true, but just part of the story. There's an extra hop. There's two extra sets of TCP layers being traversed. If the hop is local (say a sidecar, as we do in StackGres) it adds complexity in its deployment and management (something we solved by automation, but was an extra problem to solve) and consumes resources. If it's a... - Source: Hacker News / 5 months ago
This is conceptually similar to what we did for Postgres extensions at the StackGres [1] project. I gave a talk at a Kubecon about it [2]. However, this scheme is not perfect. Some Kubernetes security solutions enforce immutable containers, and once the agent pulls any additional file into the container, it will be flagged. It's also harder to reason about the security of the image (think CVEs, etc), given that... - Source: Hacker News / 11 months ago
I applaud the decision to use AGPL-3.0. For me, it's a license that provides forward guarantees to the Community: no proprietary forks can happen, so any fork will be an OSS fork from which the upstream project may benefit too, which benefits all users. That's the reason we chose this license for StackGres [1], another project in the Postgres space. [1]: https://stackgres.io. - Source: Hacker News / about 2 years ago
This is good and interesting recipe to get Keycloak and Postgres on Kubernetes. There is an important improvement, though: the Postgres deployed here is not production ready (high availability, backups, monitoring, etc). We run Keycloak on StackGres [1] which gives us production-ready Postgres setup (disclaimer: it's dogfooding). Happy to share the YAML manifests used to deploy Keycloak with StackGres. Maybe we... - Source: Hacker News / about 3 years ago
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
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.
TiDB - A distributed NewSQL database compatible with MySQL protocol
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.
Google Cloud Spanner - Google Cloud Spanner is a horizontally scalable, globally consistent, relational database service.