GraphQL
gRPC
Next.js
React
Prisma
Hibernate
SQLAlchemy
Redis
Metabase
Tableau
Microsoft Power BI
Looker
Grafana
Redash
Domo
Qlik
GraphQL MetabaseBased on our record, GraphQL seems to be a lot more popular than Metabase. While we know about 224 links to GraphQL, we've tracked only 14 mentions of Metabase. 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.
In this article, I’ll show why GraphQL is the preferred approach over a RESTful API here, demonstrating how to deploy Apollo Server (and Apollo Explorer) to get up and running quickly with GraphQL. - Source: dev.to / 1 day ago
GraphQL is a query language and runtime for APIs. It provides a flexible and efficient way for clients to request and retrieve specific data from a server using a single API endpoint. - Source: dev.to / about 1 month ago
When you use technologies like GraphQL, it is trivial to derive TypeScript types. A GraphQL API is created by implementing a schema. Generating the TypeScript type definitions from this schema is simple, and you do not have to do any more work than just making the GraphQL API. This is one reason why I like GraphQL so much. - Source: dev.to / about 1 month ago
REST and GraphQL have advantages, drawbacks, and use cases for different environments. REST is for simple logic and a more structured architecture, while GraphQL is for a more tailored response and flexible request. - Source: dev.to / about 2 months ago
A Gatsby site uses Gatsby, which leverages React and GraphQL to create fast and optimized web experiences. Gatsby is often used for building static websites, progressive web apps (PWAs), and even full-blown dynamic web applications. - Source: dev.to / about 2 months ago
I've never used Tableau, but heard a lot of hate about it. However, in my previous role, we were big fans of Metabase (https://metabase.com). You can also self-host it, which was a huge win for us. - Source: Hacker News / 2 months ago
The solution really depends on what sort of problems you are trying to solve and who your customers are. There are a fair few low-code solutions out there for reporting and data visualisation that are great for finance and marketing teams for example. e.g. https://metabase.com/ , https://evidence.dev/ For enterprise processes I'd go with Camunda (solely based on recommendations and not first hand experience).... - Source: Hacker News / 12 months ago
Metabase | https://metabase.com | REMOTE | Full-time | Backend, Frontend, Full Stack, and DevOps engineers. - Source: Hacker News / over 1 year ago
With a few simple steps, you can deploy Metabase on Microsoft Azure using Azure Container Apps. This process works for any Docker container hosted on Docker Hub, not just Metabase, so you can try it with your containers. - Source: dev.to / over 1 year ago
Try metabase.com its built with node and uses plugins. Source: almost 2 years ago
gRPC - Application and Data, Languages & Frameworks, Remote Procedure Call (RPC), and Service Discovery
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.
Next.js - A small framework for server-rendered universal JavaScript apps
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
React - A JavaScript library for building user interfaces
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.