Object Storage
S3-API-compatible object storage with a substantial included egress allowance, lifecycle automation, and no request or retrieval fees.
Built for workloads that actually serve data
Point your existing S3 SDKs and tooling at Parallax with minimal code changes.
Every bucket comes with a substantial monthly egress allowance, and anything beyond it is handled at one flat rate agreed up front.
Automatically transition or expire objects on a schedule you define.
Objects are stored with redundancy designed around a 99.9% durability target.
One bucket, everything included
There are no separate charges for requests, no retrieval fees, and no cold-storage class you have to rehydrate from before you can read your own data.
Egress is the hidden cost of object storage. Hyperscalers bundle a token free tier and then meter every gigabyte that leaves, which is exactly the traffic pattern a media library or a public download endpoint generates. Parallax includes a substantial monthly egress allowance with every bucket, and anything beyond it is handled at one flat rate agreed up front, so a traffic spike does not turn into a surprise.
From bucket to production
If your stack already speaks S3, the migration is a configuration change rather than a rewrite.
We provision your buckets and issue access keys. Tell us the capacity you expect and the egress pattern you anticipate, and we will size the allowance to match.
Change the endpoint in your existing S3 SDK, CLI, or backup software. The AWS CLI, rclone, s3cmd, Veeam, MinIO clients, and most backup suites work unchanged.
Set lifecycle rules to expire or transition objects on your own schedule, and enable versioning where you need protection against accidental overwrites.
Where teams put Object Storage to work
Serve static sites and front-end assets directly from a bucket, with an egress allowance that keeps traffic spikes predictable.
Store and stream large video and image libraries without hyperscaler-grade egress metering eroding your margin.
A durable, low-cost landing zone for scheduled backup exports and long-term archival data.
Land raw data for ETL pipelines and analytics jobs before it moves into a warehouse.
Store large training datasets and model checkpoints using the S3-compatible tooling your ML stack already supports.
Host installers, container layers, and release artifacts for fast, reliable downloads.
Centralize application and infrastructure logs, with lifecycle rules that expire them on the retention schedule you set.
Retain records and documents for regulatory windows with lifecycle rules that automate the cleanup.