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Early access

Start with one table. We will help.

ColdCTL is in early access. We are working with a small number of PostgreSQL teams to run their first archives together and measure the space they get back.

Coming later

Team and Enterprise

Planned

Public plans will follow once early partners are in production.

  • MySQL and MongoDB alongside PostgreSQL
  • Team invites, roles and alerts
  • SQL access to archived data
  • Retention rules and legal hold
Get notified

A great fit if you…

  • Run PostgreSQL on RDS, Aurora, Cloud SQL or your own servers
  • Have tables in the hundreds of gigabytes that keep growing
  • Must keep old records for audits, support or compliance

Probably not yet if you…

  • Need SQL Server or Oracle today
  • Need certified legal-hold storage on day one
  • Want a fully managed service that hosts your archives
ILLUSTRATIVE STORAGE MODEL

Estimate the storage tradeoff.

Start with an illustrative 10 TB database (10,000 GB), 70% cold data and an archive half the source size. Replace the rates with your RDS, Aurora or other provider bill and use a measured archive ratio. These are hypothetical rates, not a provider quote or guaranteed savings.

$630.00 / monthModeled storage-cost difference if 7,000 GB of billed database storage can be removed and becomes 3,500 GB of archive storage.Formula: eligible GB × database rate − archive GB × object-storage rate. A negative result means higher modeled storage cost.

Deleting records does not automatically shrink provisioned storage or reduce your bill. This excludes gateway compute, temporary disk, requests, retrieval, egress, replicas, backups, software fees and operational costs. No inputs are submitted.

Questions

About early access.

How does pricing work during early access?

Terms are agreed with each design partner directly. Public plans have not been announced yet.

When will public plans be announced?

After the first design partners are running ColdCTL in production. Partners will hear first.

What do we need to get started?

A PostgreSQL database with a large table of old, rarely-changed rows, a bucket in S3, Azure or Google Cloud, and a Linux or Windows server or container to run the agent.