head to head · open source

mountpoint-s3 vs aistore

mountpoint-s3 has 5,796 GitHub stars, 256 forks, 121 open issues and last shipped 3 days ago. aistore has 1,959 stars, 295 forks, 5 open issues and last shipped 2 days ago. mountpoint-s3 leads on adoption by 196% (5,796 vs 1,959 stars). mountpoint-s3 is written in Rust under Apache-2.0; aistore is written in Go under MIT. mountpoint-s3 has attracted 4% as many forks as stars, aistore 15%. aistore was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (object-storage), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

mountpoint-s3 ★ 5.8K aistore ★ 2.0K category Data & Analytics

← all 20902 open source comparisons

Side by side

mountpoint-s3 aistore
GitHub stars ★ 5.8K ★ 2.0K
License Apache-2.0 MIT
Written in Rust Go
Last push 2026-11-07 2026-11-08
Forks ⑂ 256 ⑂ 295
Self-hosting Yes Yes
Data ownership Your server Your server

pick mountpoint-s3 if

  • You weight community size — 5.8K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Rust
  • You value the larger contributor base for long-term maintenance

full mountpoint-s3 profile →

pick aistore if

  • You want the aistore feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Go
  • You evaluated both and aistore fits your workflow better

full aistore profile →

About mountpoint-s3

Mountpoint for Amazon S3 Mountpoint for Amazon S3 is a simple, high throughput file client for mounting an Amazon S3 bucket as a local file system. With Mountpoint for Amazon S3, your applications can access objects stored in Amazon S3 through file operations like open and read . Mountpoint for Amazon S3 automatically translates these operations into S3 object API calls, giving your applications access to the elastic storage and throughput of Amazon S3 through a file interface. Mountpoint for Amazon S3 is optimized for applications that need high read throughput to large objects, potentially from many clients at…

read the full mountpoint-s3 overview →

About aistore

AIStore: High Performance, Scalable Storage for AI Workloads AIStore (AIS) is a lightweight distributed storage stack tailored for AI applications. It's an elastic cluster that can grow and shrink at runtime and can be ad hoc deployed, with or without Kubernetes, anywhere from a single Linux machine to a bare metal cluster of any size. Built from scratch, AIS provides linear scale out, consistent performance, and a flexible deployment model. AIS is a reliable storage cluster that can natively operate on both in cluster and remote data, without treating either as a cache. AIS consistently shows balanced I/O…

read the full aistore overview →

More in Data & Analytics

Related comparisons

More Data Warehousing & Processing projects

Compare either of these against the rest of the Data Warehousing & Processing field.

Frequently asked questions

Is mountpoint-s3 or aistore more popular?

mountpoint-s3 has 5,796 GitHub stars and aistore has 1,959. mountpoint-s3 has the larger community by that measure.

Are mountpoint-s3 and aistore free?

Both are open source. mountpoint-s3 is licensed under Apache-2.0 and aistore under MIT. Neither carries a licence fee.

What is the difference between mountpoint-s3 and aistore?

mountpoint-s3 is written in Rust and aistore in Go. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, mountpoint-s3 or aistore?

Choose mountpoint-s3 if you want the larger community (5,796 stars) or its Apache-2.0 licence terms. Choose aistore if its feature set, stack or MIT licence fits better. Both are self-hostable.