NewGFS 1.0: open source is here→MCPAgents branch, commit, rollback, natively→

Make the switch to
ephemeral databases.

Build AI-ready
infra.

Every Agent gets their own production-identical environment that spins up in seconds and disappears when it's done. Unlock safe experiments, faster tests, and instant rollbacks with Guepard DataOps.

Ephemeral databases and sandboxes for every agent, PR, and experiment. Spin up in seconds. Tear down when done. Ship what wins.

Book a demoStar on GitHub Explore MCP

Self-hosted · Deploys in your VPC · Audit logs by default

Cursor · Claude · Windsurf · every MCP-compatible agent

Trusted by engineering teams shipping daily

Agents & ephemeral data

Agents didn't slow down.
Your delivery model did.

Agents and CI already run in parallel — persistent staging forces them back into a queue. Ephemeral Postgres branches: one database per run, then discard.

Serial delivery

shared-staging

One database. Every agent waits.

agent/claude-7waiting for lock
ci/pr-892schema drift
agent/cursor-2holds lock · 4h 12m
qa/release-3position 4

1of 47 runs concurrent

Parallel delivery

guepard branch

Fork from prod in seconds.

branch create --from prod

$ branch/pr-8924s 120ms

184+branches today

Agent-driven development

One Postgres per agent run and CI job — spin up, ship, discard.

Simulation & RL

Snapshot once, fork in parallel, tear down, repeat. No restore window.

Multi-tenant platforms

Isolated data plane per tenant. No shared staging queue.

Persistent → Ephemeral

Speed is the standard.

Compute is ephemeral. Containers are ephemeral. Preview URLs are ephemeral. Meanwhile your team, humans and agents alike, is still fighting over one persistent staging DB. Guepard retires it.

Database clones created

per week on a single instance

Parallel experiments daily

by CI, agents, and engineers

Reduction in CI DB time

from 45 min to under 3

Database engines supported

Postgres, MySQL, Mongo, +4

Today

With Guepard

One shared staging DB

Three slots for twenty teams

→One environment per PR

Spun up on demand, torn down on merge

Agents queued behind humans

Serialized runs, contaminated state

→Every agent gets its own DB

Parallel, isolated, disposable sandboxes

Risky migrations on stale data

Schema changes tested against 6-month-old copies

→Migrations on production-identical data

Branch prod, run it, throw it away

Compliance theater

Devs cloning prod data into laptops

→Governed ephemeral envs

RBAC, PII masking, audit logs by default

Built for your role

We speak your language.

Ship faster, org-wide.

"We stopped shipping in trains. Every team ships when they're ready. That was a trillion-dollar bug fix."
Nina K., VP Eng, Axle

4.2×deploy frequency, measured via DORA
−62%lead time for changes
0data egress — clones stay in your VPC

Still costing you

Teams blocked waiting on shared environments
Release cycles stretching longer each quarter
Data leaving the network to third-party tools

How Guepard works

From production to isolated branch in seconds.

Everything above (parallel agents, per-PR CI, role-specific wins) runs on the same loop: connect once, snapshot with copy-on-write, branch on demand, tear down when you're done.

01Connect

Read-only to production

Point at Postgres, MySQL, Mongo, or any of 7 engines. Data never leaves your VPC.

productionread-only · postgres · 3.2 TB · us-east-1

branch/pr-892
branch/agent/claude-7
branch/ci/build-847

Watch the full workflow for a deeper look

Enterprise-ready, day one

Your security team
will love it.

Self-hosted by default. Your data, your network, your compliance posture. We never see it.

Enterprise details Security whitepaper

Encryption & access control

Encryption at rest and in transit. Role-based access. Granular permissions per environment.

Bring Your Own Cloud

Deploy in your VPC via Terraform. Data never leaves your network. Zero egress.

Audit everything

Every branch, every query, every access logged. Export to your SIEM.

Data residency

EU, US, APAC regions. GDPR, HIPAA, and ISO 27001 ready.

In the wild

They switched to ephemeral.They ship faster.

SaaS

“We used to spend a full day getting CI databases ready for every release. With Guepard, each PR gets its own isolated clone spun up in seconds.”

Ilies Grafton

CTO · Visum

−89%

CI wait time

Logistics

“Branch-per-PR became the default the day we onboarded Guepard. Engineers ship in parallel, every CI run gets a fresh clone, and our staging queue went to zero, without adding a single ops headcount.”

Ryan Rusnak

CTO · Airspace

12×

deploys per week

Dev Hub

Engineering insights.

View all posts →

Engineering

Book a free sessionand unlock a new level with Parallel shipping for every PR, CI run, and agent.

We'll map your pipeline and show how disposable, prod-shaped data envs unlock full automation: self-serve environments, confident releases, humans and agents shipping together.

Schedule a call

Make the switch toephemeralephemeral databases.

Build AI-readyAI-readyinfra.