
Google Cloud Platform
DigitalOcean
Microsoft Azure
Linode
Heroku
Vultr
CloudFlare
Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.

Masthead Data
Removaly
Metaplane
Piwik PRO
No-Code Board
Knovos Cascade
Free Word Cloud Generator (.com)
Quality assurance & monitoring for analytical data

Which is more popular?
Based on our record, Amazon AWS seems to be a lot more popular than Datafold. While we know about 488 links to Amazon AWS, we've tracked only 1 mention of Datafold.
Website, pricing, platforms and company facts side by side.
|
|
|
|
|---|---|---|
| Website | aws.amazon.com | datafold.com |
| Pricing | ||
| Company | Startup from the United States | — |
| Listed in |
What each product offers, as listed by its team.


Possible disadvantages
No features have been listed yet.
Walkthroughs and reviews on video.
Announcing AWS DeepComposer with Dr. Matt Wood, feat. Jonathan Coulton
More videos
Datafold Demo // Modern Data Reliability, Quality, Column-lineage, etc (w/ Matt David) | Demohub.dev
More videos
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Amazon AWS and Datafold. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


API Gateway private endpoints allow AWS customers to use API endpoints inside their VPC. They can leverage Route 53 resolver endpoints and hybrid connectivity to access APIs and integrated backend services from...
Dedicated hosts on Amazon EC2 are physical servers that are completely dedicated to meeting corporate compliance standards. With AWS, you can create EC2 instances on a dedicated server. The flexibility offered by...
The dedicated server options from Amazon Web Services (AWS), a well-known brand in the tech industry, are equally excellent. AWS’s elastic infrastructure can smoothly adjust to your demands whether your e-commerce...
We have no reviews of Datafold yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


Read replicas can be deployed to edge locations (e.g., AWS us‑east‑1, ap‑south‑1) to serve match requests with <10 ms latency. Remember that write traffic still funnels to the core. - Source: dev.to / 13 days ago
Provision managed resources (Postgres, MongoDB, Kafka, RabbitMQ, etc.) from DigitalOcean, Supabase, Scaleway, AWS, or Google Cloud. It doesn't really matter which; they all offer good SLAs. - Source: dev.to / about 2 months ago
In conclusion, Cloudflare Workers and AWS Lambda are two popular edge computing solutions that offer a range of benefits, including reduced latency, improved performance, and enhanced security. By understanding the key differences... - Source: dev.to / 3 months ago
Gleb, Alex, Erez and Simon here – we are building an open-source tool for comparing data within and across databases at any scale. The repo is at https://github.com/datafold/data-diff, and our home page is https://datafold.com/. As a... - Source: Hacker News / over 4 years ago
When comparing Amazon AWS and Datafold, you can also consider the following products.

Google Cloud provides flexible infrastructure, end-to-security, modern productivity, and intelligent insights engineered to help your business thrive.
Compare Google Cloud Platform to Amazon AWS or Datafold:

Masthead Data helps data teams to identify and fix data errors before they become a problem for data consumers. It catches anomalies in the data warehouse in real time.
Compare Masthead Data to Amazon AWS or Datafold:

Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
Compare DigitalOcean to Amazon AWS or Datafold:

Remove your personal information from the internet.
Compare Removaly to Amazon AWS or Datafold:

Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.
Compare Microsoft Azure to Amazon AWS or Datafold:

Metaplane is the Datadog for Data — a data observability tool that continuously monitors your data stack, alerts you when something goes wrong, and provides relevant metadata to help you debug.
Compare Metaplane to Amazon AWS or Datafold: