You could say a lot of things about AWS, but among the cloud platforms (and I've used quite a few) AWS takes the cake. It is logically structured, you can get through its documentation relatively easily, you have a great variety of tools and services to choose from [from AWS itself and from third-party developers in their marketplace]. There is a learning curve, there is quite a lot of it, but it is still way easier than some other platforms. I've used and abused AWS and EC2 specifically and for me it is the best.
Based on our record, Amazon AWS seems to be a lot more popular than Databar.ai. While we know about 364 links to Amazon AWS, we've tracked only 13 mentions of Databar.ai. 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.
So my team & I at databar.ai built a Chrome extension which (we think) is truly easy to use. Basically two clicks to turn any website into a structured dataset (there's a video showing how it works here). Source: about 1 year ago
Hi everyone! My team & I are building databar.ai, a spreadsheet that can connect to APIs, run enrichments on top of your data, and automate data flows through a table UI. We've been experimenting with pricing models and decided to launch on Product Hunt with our product requiring you to either sign up for a demo (after registration) or purchase a plan (plans start at $17/mo). Source: over 1 year ago
Mentioned that in my OC comment that people in different cities might be more lenient when leaving reviews. Unfortunately the only way to normalize is to get reviews for all restaurants in a city, comparing them, and then normalizing. We can do that with databar.ai but didn't want to turn this analysis into a thesis :). Source: over 1 year ago
Tools used for visualizing & embedding the data: databar.ai. Source: over 1 year ago
We're developing databar.ai - a no-code UI to work with third party data sources and APIs. Our users so far have used our site to scrape Google Maps, access all sorts of financial/crypto datasets (we have I think ~300 crytpo/finance data sources right now), scrape news articles, and more. Source: almost 2 years ago
In 2006, Amazon launched EC2 and S3 which was the foundation of the first major cloud platform, AWS. Amazon decided to essentially provide their users with storage and virtual machines to operate. They had excess servers in their datacenters and saw this as an opportunity to make some extra money. - Source: dev.to / 8 days ago
To start using AWS, you need to create an AWS account. You can sign up for an AWS account at https://aws.amazon.com/. Once you have an account, you can access the AWS Management Console, which is a web-based interface for managing AWS services. - Source: dev.to / 11 days ago
Image credits: All images are sourced from the AWS website (https://aws.amazon.com/). - Source: dev.to / 22 days ago
For this article, you will need: i. A Google account for your app password generation Ii. A Linux terminal. I used the AWS console. You can sign up for a free 1yr tier account here. - Source: dev.to / 23 days ago
If you don’t already have an AWS account, sign up for one at https://aws.amazon.com/. Once you have an account, log in and go to the Elastic Beanstalk service. - Source: dev.to / about 1 month ago
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