One governed runtime, made fun & easy

Governed by design.

Policy, access control, and classification enforced on every operation — not bolted on.

Use your own stack.

No rip-and-replace. Point your existing sources at atomhub and keep your formats.

Full lineage.

Source-to-consumption lineage on every dataset. Never wonder where a number came from.

Minutes to value.

One config connects a source. atomhub auto-discovers datasets and maps lineage instantly.

Optimized for scale & control

When the whole business runs on your data platform, we keep the lights on — one governed runtime instead of a fragile stack of tools.

Operational fragility

Pipelines break silently. Issues cascade. Teams scramble to diagnose root causes across disconnected systems.

Governance inconsistency

Policies enforced in silos. Access controls fragmented. Compliance becomes reactive instead of built-in.

Infrastructure complexity

Each tool adds its own infrastructure, maintenance burden, and integration surface area.

Delayed AI readiness

Data quality, freshness, and trust issues block AI initiatives. Models trained on unreliable data fail silently.

Platform tax

Engineering teams spend more time maintaining infrastructure than building data products.

Every month on a fragmented stack is a month a competitor ships faster on a unified one.

$ atomhub connect --source s3://lake --governed
✓ discovered 148 datasets
✓ lineage mapped end-to-end
✓ policies applied · 0 manual steps
✓ observability + agents online
→ trusted data products live in 6m 12s

One bill, not six

Ingestion, orchestration, governance, lineage, and observability collapse into one runtime. The platform tax disappears with the tools.

Your cloud, your compute

atomhub runs in your environment on open formats. No per-query premium, no egress tax, and no lock-in penalty when it's time to negotiate.

Agents that cut spend

AtomTune continuously optimizes storage layout, query plans, and resource allocation — savings that compound instead of costs.

Plug-and-play with your existing stack

No lock-in. No guesswork. atomhub is standards-native — it speaks the open formats and engines your platform already uses.

AtomAutomate

Designs, creates, and optimizes data pipelines automatically based on your requirements and patterns.

AtomBuzz

Monitors platform health, detects anomalies, and tracks data quality metrics in real-time.

AtomTune

Optimizes storage layout, query performance, and resource allocation continuously.

AtomRetry

Diagnoses failures, identifies root causes, and orchestrates safe recovery procedures.

AtomIQ

Gives natural-language access to trusted data and platform intelligence for all users.

You set intent. Agents coordinate across every layer to keep it running.

Data Engineers

Point your sources, get governed, observable pipelines with self-healing recovery. Build data products, not glue code.

Platform & SRE

One operating layer to run, monitor, and govern. Consolidate infra, cut the maintenance surface, sleep through the night.

Engineering Leaders

Lower platform cost, stronger governance, faster AI. Move the org from maintaining infrastructure to shipping outcomes.

Cloud

Fully managed on AWS, Azure, or GCP with enterprise SLAs and support.

Private VPC

Deploy in your own cloud account with full network isolation and data residency control.

On-Premise

Air-gapped deployment for highly regulated environments with complete infrastructure control.

Connect & Assess

Connect your data sources, assess current state, define target architecture.

Build & Migrate

Migrate initial workloads, establish governance framework, enable observability.

Scale & Optimize

Expand coverage, enable AI agents, optimize performance, achieve platform maturity.

Stop assembling stacks. Start operating one.

What is atomhub?

atomhub is a data operating system: a single governed runtime that folds ingestion, execution, governance, lineage, and observability into one platform. Instead of stitching together six or more separate tools, teams run one operating layer that produces trusted, AI-ready data products — and it runs inside their own cloud on open formats.

How is atomhub different from a data stack?

A traditional data stack combines separate ingestion, orchestration, compute, storage, governance, and observability tools, each with its own bill and integration surface. atomhub replaces that fragmented stack with one governed runtime where policy, lineage, and observability are built in on every operation rather than bolted on afterward.

Does atomhub replace my existing tools or require a migration?

No rip-and-replace is required. You point your existing sources at atomhub and keep your formats such as Apache Iceberg, Delta Lake, and Parquet. atomhub auto-discovers datasets and maps lineage instantly, so most teams reach value in under 100 days starting with a single workload.

Where does atomhub run and is my data secure?

atomhub runs in your own cloud environment on open, standards-native formats, so zero bytes of data leave your environment. Governance, access control, and classification are enforced at the platform level on every operation.

How does atomhub make data AI-ready?

By enforcing governance, freshness, and full source-to-consumption lineage by default, atomhub delivers clean, trusted data products that AI and ML models can rely on — removing the data-quality and trust issues that stall AI initiatives.