Qlik VS StackGres
Compare Qlik VS StackGres and see what are their differences
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Qlik
Tableau
Looker
Sisense
Domo
Microsoft Power BI
QlikSense
MicroStrategy
StackGres
Kubernetes
TiDB
Google Cloud Spanner
Adaptive.live
k3s
KubeDB
CloudNativePG
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Qlik's associative data model makes data analytics seamless.
Highly Recomend using this to anyone.
Based on our record, StackGres should be more popular than Qlik. It has been mentiond 10 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.
All files was pulled into a program called : QLIK, qlik.com is the company and my company uses it for our reporting and our customer's reporting needs. Source: over 5 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
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
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.