Legacy – A lightweight Cassandra backup-to-S3 tool written in Go
Legacy is a light weight Cassandra backup utility suitable for backing up snapshots and incremental backups to Amazon S3. - iamthemovie/legacy
Legacy – A lightweight Cassandra backup-to-S3 tool written in Go launched on June 25, 2015 with 12 votes, #1,472 of 3,954 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 11 years on.
In plain words
Legacy is a lightweight Cassandra backup utility written in Go that backs up database snapshots and incremental backups to Amazon S3. It is designed for teams managing Cassandra databases who need a simple tool to store backups in cloud storage. The tool stands out for its lightweight design and support for both full snapshots and incremental backups.
written from the facts on this page · September 2026
Does a similar job
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Relica – Cross-platform local, remote, and multi-cloud file backups2018 · relicabackup.com · ▲132Immutable cloud storage with multi-cloud redundancy. Zero-knowledge encryption, unlimited devices. Built on restic — no vendor lock-in. From $5/month.
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Low-cost backup to S3 Glacier Deep Archive2022 · github.com · ▲120Hi, most people (hopefully) have local backups. However, when that backup fails, it is good to have a backup stored somewhere off-site. In the old days you would ship physical drives/tapes, which is cumbersome, costly, and slow. With fast upload speeds, it is now possible to upload your data to the cloud. I have found S3 Glacier Deep Archive to be a great solution for this: - It is very cheap ($1/TB/month for US region) - Very reliable (99.999999999% data durability, data spread over 3 Availability Zones) However, usability out of the box is not that great, I'm not aware of…
Uphold – Tool for programmatically verifying database backups2016 · github.com · ▲89A tool for programmatically verifying database backups - forward3d/uphold
CallFS – S3-style object store in one Go binary (MIT)2025 · github.com · ▲66We started CallFS after yet another late-night “why did the uploads vanish?” incident. Our small team had stitched together rsync, a fragile NFS mount, and an S3 bucket—none of it observable, all of it waiting to bite us. So we wrote a single-process file service in Go that: • Speaks the S3 API (so existing tooling works). • Stores hot data on local disks for speed; cold data can sit in any S3-compatible bucket. • Exposes Prometheus metrics and JSON logs by default, because “what happened?” shouldn’t be guesswork. • Ships as a ~25 MB static binary—no external deps, MIT license. Today it’s…

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