Google Compute Engine VS RepDB
Compare Google Compute Engine VS RepDB and see what are their differences
AI agents that spec, build, test, and ship code โ with voice chat, deep GitHub integration, and zero LLM markup.
featured
Google Compute Engine
Amazon EC2
DigitalOcean
Microsoft Azure
Vultr
Linode
OpenStack
Amazon AWS
RepDB
RepDB is a one-time-purchase exercise dataset for developers building fitness and workout apps โ not a subscription, not a rate-limited API. You download the data once and own it: JSON (and SQLite on the higher tier), WebP images, and full EN/DE/ES translations, with no per-request billing and no dependency on our servers staying up.
A free tier includes 400 exercises with flat-style 512ร512 images, attribution-licensed for commercial in-app use. The Starter tier ($199) adds the full catalog in classic white-background style. Standard ($399) adds transparent 1024px images, looping animations, exercise relations (similar/progressions/regressions), workout templates, and embeddings โ exclusive to that tier.
Every exercise includes muscle-group highlighting, equipment/muscle icons, MET values, and safety/goal tags. Compared to GIF- or JPG-based competitor APIs, RepDB images are transparent WebP with no watermarks, so they drop into any app UI without a white box around them.
Google Compute Engine RepDBRepDB's answer:
RepDB is sold as a one-time download, not a metered API โ you own the JSON/SQLite data and WebP images outright, with no rate limits, no per-request billing, and no risk of the vendor cutting off access. It's also the only dataset in this space with EN/DE/ES translations, transparent (alpha-channel) images with no watermark, muscle-group highlighting, safety/goal tags, and looping animations on the higher tier.
RepDB's answer:
RepDB grew out of a consumer workout app its creator was building solo. Sourcing exercise images and data meant either paying for a subscription API with usage caps and no caching rights, or producing everything from scratch. The illustrated, multi-language dataset was built for us first, then split out as its own product once it became clear other indie developers had the same problem and preferred to buy the data outright rather than rent it through an API.
RepDB's answer:
Most alternatives are subscription APIs โ you pay monthly, you're capped on requests, and ExerciseDB's terms of use explicitly forbid caching or storing the data at all, so every image render is a live paid API call. RepDB is the opposite: pay once, download the files, self-host with zero ongoing dependency. It's also the only option offering true DE/ES localization and transparent images instead of a white box behind every exercise.
RepDB's answer:
Solo developers and small teams building fitness or workout-tracking apps (iOS, Android, web) who need licensed exercise images and structured exercise data, but don't want to build their own media pipeline or depend on a rate-limited third-party API.
Based on our record, Google Compute Engine seems to be more popular. It has been mentiond 17 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.
For maximum control: Spin up a Compute Engine instance with the latest NVIDIA H100 or A100 Tensor Core GPUs and take full control of your environment. - Source: dev.to / 7 months ago
Https://cloud.google.com/products/compute ? You get one e2-micro VM instance free per month. - Source: Hacker News / about 1 year ago
Surely you can run your own instances on some sort of "Compute" in GCP? https://cloud.google.com/products/compute. - Source: Hacker News / over 2 years ago
The backend is written in node.js and is deployed using Google Compute Engine. I wanted to learn Kubernetes but it seemed more complicated and also more expensive than GCE. We also use mongodb. Source: about 3 years ago
Google seems to have a free tiny VM offering. AWS and Azure have one for a year. Of course, whether Google's will still be free in a year is whoknows. Source: over 3 years ago
Amazon EC2 - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.
Vultr - Global, automated cloud infrastructure from the broadest array of AMD and NVIDIA GPUs to virtual CPUs, bare metal, Kubernetes, storage, and networking solutions.
Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.
OpenStack - OpenStack software controls large pools of compute, storage, and networking resources throughout a datacenter, managed through a dashboard or via the OpenStack API.