Looker
Tableau
Microsoft Power BI
Sisense
Domo
Qlik
QlikSense
Google Analytics
StackGres
Kubernetes
TiDB
Google Cloud Spanner
Adaptive.live
k3s
KubeDB
CloudNativePG
Looker is a business intelligence platform with an analytics-oriented application server that sits on top of relational data stores. The Looker platform includes an end-user interface for exploring data, a reusable development paradigm for creating data discovery experiences, and an extensible API set so the data can exist in other systems. Looker enables anyone to search and explore data, build dashboards and reports, and share everything easily and quickly.
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Looker might be a bit more popular than StackGres. We know about 14 links to it since March 2021 and only 10 links to StackGres. 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.
Then in the "foldername" you can have 5 folders, each one for each of the groups. This means that when group1 enters looker.com, his default page will be the "foldername", which contains group1folder (he cannot see the rest of the folders if you have set the permissions correctly for each folder). Source: over 3 years ago
Even if you want to make Wide Tables, combining fact and dimensions is often the easiest way to create them, so why not make them available? Looker, for example, is well suited to dimensional models because it takes care of the joins that can make Kimball warehouses hard to navigate for business users. - Source: dev.to / over 3 years ago
We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / over 4 years ago
Dashboard: I like to use Datastudio because it's easy (just like using google sheets), but you can also try out Looker. Source: over 4 years ago
For Growth and larger, I would recommend Looker. The only reason I wouldn't recommend it for the smaller company stages is that the cost is much higher than alternatives such as Metabase. With Looker, you define your data model in LookML, which Looker then uses to provide a drag-and-drop interface for end-users that enables them to build their own visualizations without needing to write SQL. This lets your... - Source: dev.to / 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
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
TiDB - A distributed NewSQL database compatible with MySQL protocol
Sisense - The BI & Dashboard Software to handle multiple, large data sets.
Google Cloud Spanner - Google Cloud Spanner is a horizontally scalable, globally consistent, relational database service.
