Object Mount | Performance
Tested with real-world workloads.
Tested in real-world workloads, Object Mount delivers supercomputing-level performance—without sacrificing simplicity, scalability or compatibility.
Trusted by teams all over the world
Why Storj
Built for extreme performance.
Lightning fast.
With 10+ Tbps throughput, it doesn’t just work at scale—it performs.
Small files.
Handle thousands of tiny files without the usual object storage slowdown.
Large files.
Use cp to transfer massive datasets at up to 30× faster than AWS CLI.
Outruns older tools.
Significantly faster, more scalable and lower cost than FSx, goofys or s3fs.
30x faster than AWS CLI.
Standard tools like AWS CLI add overhead that slows down data transfers. With Object Mount, you can use familiar commands like cp—and still get up to 30× faster performance when copying large files to object storage. No new workflows, no special tooling—just dramatically better throughput.
Small file tasks at a fraction of the time.
Copying 75,000 small Linux kernel source files to S3 dropped from hours to just over 2 minutes using the Linux cp command with Object Mount. Reads that previously took minutes on EFS, EBS or FSx Lustre now complete in seconds. While competing solutions slow to a crawl with small files, Object Mount maintains high performance—even at massive scale.
10+ Tbps aggregate throughput.
By unlocking the raw power of object storage, this solution scales to supercomputing-level throughput—benchmarked at over 10 Tbps aggregate. It handles massive volumes of data without slowing down demanding workflows like AI training, video rendering or genomics analysis.
Built to beat the rest.
Faster, more compatible and built to scale. This comparison shows how Object Mount stacks up against traditional cloud file systems and open-source S3 tools—delivering industry-leading speed, full POSIX compatibility and the scalability needed for modern AI and media workflows.
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Work without waiting.
Make the switch and get local-like performance from the globally distributed cloud.