BackupLABS
Rewind
ProBackup
FluentPro Backup
Skyvia
Notion Backups
Acronis Backup and Recovery
SysCloud
RepDB
BackupLABS provides an automated way for organizations of all sizes to protect your critical data that is held within popular cloud based applications. The vast majority of these cloud based apps, make it very easy to onboard and import data to start using the app. Such as GitHub, GitLab, Trello, Jira, Asana and Notion.
However, none of them offer a robust backup solution so you can protect your most important asset - your data. Organizations are putting more and more critical data on these platforms and the providers T&Cs always state that the customer needs to backup and protect their own data. This is also known as the "Shared Responsibility Model".
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.
BackupLABS RepDBBackupLABS's answer
We backup SaaS apps that the main backup providers do not offer. Such as Trello, GitHub, GitLab, Asana, Jira and Notion.
RepDB'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.
BackupLABS's answer
BackupLABS is easy to use and can be setup within 5 minutes.
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.
BackupLABS's answer
SME market as well as public sector.
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.
BackupLABS's answer
Amazon Web Services.
BackupLABS's answer
BackupLABS was created after the founder, Rob Stevenson became frustrated with the lack of backup solutions available for SaaS apps. He also runs a traditional backup service with a sister company called BackupVault.
Back in 2017 when Microsoft 365 was created, there was no backup available. He missed the opportunity to create a 365 backup system and saw the same issues occuring now with the explosion of other SaaS based services.
These services all contain critical data, and the app providers themselves all state the data is the customers responsibility.
BackupLABS was founded with two apps supported at first: GitHub and Trello. But many more have been added including: GitLab, Jira and Notion.
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.
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