Based on our record, Google Cloud Functions seems to be a lot more popular than Apache Drill. While we know about 43 links to Google Cloud Functions, we've tracked only 3 mentions of Apache Drill. 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.
Also are you familiar with apache drill . The idea is to put an SQL interpreter in front of any kind of database just like you are doing for git here. Source: 12 months ago
Looks super interesting and potentially useful. Curious how it compares with Apache Drill (https://drill.apache.org/). - Source: Hacker News / over 2 years ago
Check out Apache Drill: https://drill.apache.org/. Source: over 2 years ago
The first reason is that serverless architectures are inherently scalable and elastic. They automatically scale up or down based on the incoming workload without requiring manual intervention through serverless compute services like AWS Lambda, Azure Functions, or Google Cloud Functions. - Source: dev.to / about 1 month ago
The FaaS platform gained a lot of popularity which resulted in many competitors. There was OSS providers like OpenFaaS or Fission. There were of course the commercial versions to like Azure Functions and Google Cloud Functions. - Source: dev.to / about 1 month ago
One of the issues developers can encounter when developing in Cloud Functions is the time taken to deploy changes. You can help reduce this time by dynamically loading some of your Python classes. This allows you to make iterative changes to just the area of your application that you’re working on. - Source: dev.to / 7 months ago
I've been looking at Google Secret Manager which sounds promising but I've not been able to find any examples or tutorials that help with the actual practical details of best practice or getting this working. I'm currently reading about Cloud Functions which also sound promising but again, I'm just going deeper and deeper into GCP without feeling like I'm gaining any useful insights. Source: 8 months ago
Serverless computing was also introduced, where the developers focus on their code instead of server configuration.Google offers serverless technologies that include Cloud Functions and Cloud Run.Cloud Functions manages event-driven code and offers a pay-as-you-go service, while Cloud Run allows clients to deploy their containerized microservice applications in a managed environment. - Source: dev.to / 11 months ago
Apache Calcite - Relational Databases
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
DataGrip - Tool for SQL and databases
Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
AWS Lambda - Automatic, event-driven compute service