Free for 2 pipelines — catch silent failures, issue Pipeline Passports, and prove data is trustworthy when Airflow only proves the job ran.

Free for 2 pipelines · Team from $99/mo

DataXPipe

Airflow is green. Your dashboard isn't.

The pipeline catalog and trust runtime that catches silent failures when orchestration succeeds but data is stale or drifted. Import dbt or Airflow. Issue a Pipeline Passport stakeholders can trust.

Start free — 15 min setup See pricing

No credit card · Passports · PR blast radius · Consumer contracts

pipeline passport · revoked

Silent failure

Airflow task: orders_daily_sync  →  SUCCESS ✓
Freshness check: mart.executive_kpis  →  FAIL (stale 38h)
KPI drift: revenue_daily  →  FAIL (+42% vs baseline)

Passport ppt_8f2a  →  REVOKED (check_failure)
  warrant was active until 09:15 · owner analytics-eng

Blast radius:
  raw.orders → mart.orders_daily → mart.executive_kpis
  ↳ 3 downstream dashboards · 1 consumer contract at risk

Share link disabled until checks pass and passport re-issues.

Silent failures

Green Airflow, stale or drifted data — caught before the board pack

Passports

Shareable trust warrants with SLA expiry and revoke-on-fail

PR blast radius

Downstream, contracts, and passports at risk before merge

Import what you have. Govern what you run.

dbt manifests, Airflow DAGs, and warehouse metadata become catalog entries with checks and lineage — one contract, not four tools.

Pipeline Passports

Issue a shareable trust warrant when checks pass. Auto-revoke on silent failure or KPI drift — the artifact execs and auditors can actually open.

PR blast-radius preview

Diff a pipeline spec in CI and see downstream datasets, consumer contracts, and passports at risk before merge — commented on the pull request.

Consumer contracts

Producers write the pipe. Consumers write the promise — max staleness, row floors, KPI checks — with compatibility status against live producers.

Semantic / KPI drift

Catch wrong-but-green failures: kpi_baseline, row_count_drift, and distribution_drift against rolling baselines — not just freshness.

Pipeline catalog

Silent-failure checks

Freshness and quality checks tied to runs. Alert when orchestrators succeed but data is stale — before stakeholders open the dashboard.

Outcomes

Built for operating pipelines at scale

Customers don't buy metadata. They buy fewer incidents, faster debugging, and proof for compliance.

Before the dashboard breaks

Fewer silent failures

Orchestrator green, warehouse stale — or worse, KPI drift. Freshness and semantic checks revoke the Passport before stakeholders open the board pack.

See who you wake up

Safer merges

PR blast-radius preview lists downstream datasets, consumer contracts, and passports at risk — commented on the pull request.

Pipeline Passport

Proof you can share

One contract generates, observes, and warrants. Consumers declare promises; producers honor them — without four disconnected tools.

The five-minute question
“Why not dbt + Airflow + Great Expectations?”
Because you maintain four disconnected systems. DataXPipe is one contract with a live trust runtime — Passports, consumer contracts, and CI impact — so Day 2 operations get easier, not harder.

15-minute proof

From stale table to alert — in one session

The aha moment isn't writing YAML. It's catching a silent failure with lineage and checks before executives notice.

1
Connect what you already have
Import a dbt manifest, paste an Airflow DAG, or discover tables from Postgres — no greenfield YAML marathon.
Start from your messy reality, not a blank spec.
2
Generate checks & lineage
DataXPipe builds freshness, drift checks, and lineage from one contract — tied to the tables that matter.
One source of truth for observe + govern.
3
Catch silent failures first
When orchestration is green but mart.executive_kpis is stale (or drifted), the Passport revokes with blast radius.
AI explains the failure and what to check upstream.
4
Share the warrant
Re-issue a Pipeline Passport after recovery. Share the link with finance — or wire consumer contracts and CI impact next.
Alerts go to email/Slack with check context.

Try the guided path See roadmap

Trusted by data platform teams

Why teams switch to one pipeline contract

Design partners use DataXPipe to catch silent failures, bootstrap catalog coverage from dbt, and onboard engineers with clear roles.

“We caught a stale executive dashboard before the Monday review — Airflow was green, the passport was revoked, and Slack had the blast radius in one message.”
Sarah Chen
Head of Data, Northwind Analytics

“PR impact comments show which consumer contracts break before we merge. We stopped guessing who to page from dbt DAG diffs.”
Marcus Webb
Analytics Engineering Manager, Riverstone Commerce

“Finance declares staleness in a consumer contract; we issue a passport when KPIs land. Auditors ask for the share link, not a Slack archaeology tour.”
Priya Sharma
Data Platform Lead, Helix Pay

Why not dbt + Airflow + Great Expectations?

Because you maintain four disconnected systems. DataXPipe is one contract that generates artifacts, registers metadata, and records check results.

Need	Typical scattered stack	DataXPipe
Silent failures (green Airflow, stale data)	Task logs + manual SQL	Freshness checks + Passport revoke
Prove data is trustworthy	Slack screenshots	Shareable Pipeline Passport
PR impact before merge	Hope + tribal knowledge	Blast-radius report in CI
Consumer vs producer SLAs	Email threads	Consumer contracts + compatibility
Wrong but green KPIs	Found by executives	KPI / distribution drift checks
Lineage & ownership	Spreadsheets + dbt docs	Catalog API + import from dbt/Airflow

Vision

The trust runtime for data pipelines

Not another catalog to configure — a platform that imports what you already run, issues Pipeline Passports, previews blast radius in CI, and keeps producers honest against consumer contracts. One contract replaces scattered Airflow glue, quality scripts, and wiki docs.

Import first

dbt manifests, Airflow DAGs, and warehouse discovery — not greenfield YAML homework.

Observe & warrant

Freshness, KPI drift, lineage blast radius, and shareable Pipeline Passports.

Contract & gate

Producer specs + consumer promises with PR impact analysis before merge.

Roadmap

Where we are — and where we're going

We ship in the open. Early access users shape what lands next.

Available today

Now

Silent failures, passports & PR blast radius

Import dbt/Airflow, catch green-but-stale failures, issue Pipeline Passports, and preview impact in CI.

Silent failure detection
Live
Freshness and volume checks that fail when Airflow is green but data is stale.
Pipeline Passports
Live
Shareable trust warrants with SLA expiry, auto-issue on pass, revoke on fail.
PR blast-radius preview
Live
POST /specs/impact + GitHub Action comments for downstream, contracts, passports.
Consumer contracts
Live
Consumers declare staleness/row expectations; compatibility checks vs producers.
Semantic / KPI drift
Live
kpi_baseline, row_count_drift, and distribution_drift — wrong but green catches.
dbt & Airflow import
Live
Bootstrap lineage and default checks from manifest.json or DAG source.
15-minute guided PLG path
Live
Stale demo → explain → passport → register in one session.

Q3 2026

Deeper runtime & authoring

AI-assisted spec drafting and richer hosted API surfaces for Day 2 teams.

Hosted Catalog API
In progress
api.dataxpipe.com — register pipelines and query runs from day one.
Slack & email alerting
Live
Failed checks routed to email and Slack incoming webhooks in Settings.
Interactive lineage explorer
Live
Click any dataset — see upstream/downstream blast radius visually.
AI-assisted spec drafting
In progress
Describe a pipeline in plain English; get a reviewable YAML contract.
CI/CD contract gates
Live
Validate + impact on PR; register from protected branches.

2026 & beyond

Vision

AI control plane at scale

From assisted authoring to autonomous suggestions — always with human review before production.

Warehouse-wide discovery
Planned
Connect Snowflake/BigQuery — suggest contracts, owners, and freshness SLAs.
Auto-remediation hints
Planned
Suggested backfills, reruns, and owner escalations when checks fail.
Template marketplace
Planned
Vetted specs for common warehouse and orchestration patterns.
Enterprise SSO & audit
Planned
SAML/OIDC, immutable audit logs, SOC 2 readiness.

Shape the roadmap

Join early access — your use case drives what we build next

Request a workspace, tell us your stack (Airflow, dbt, Snowflake, BigQuery), and get priority when self-serve API access opens.

Request early access Read the blog

How teams use DataXPipe

A repeatable workflow from declarative specs to observable production pipelines.

Define your pipeline spec

Author a YAML or JSON spec with sources, targets, lineage edges, and quality checks. DataXPipe validates it against a JSON Schema before anything runs.

Generate & deploy artifacts

Get Airflow DAGs, SQL transforms, runnable check scripts, and metadata bundles. Generated DAGs notify the catalog on every run.

Catalog, trace & verify

Register pipelines in the catalog API, query lineage for any dataset, and review check results tied to each run — all from one place.

Start free. Prove your pipelines can be trusted.

Two pipelines on Free forever. Team from $99/mo when you need more connections, retention, and support — transparent pricing, no sales call.

Start free — 15 min setup See pricing

Airflow is green. Your dashboard isn't.