Beacon — Data Infrastructure

Data infrastructure for considered teams

The pipeline layer that stays quietly out of your way

Beacon is a data infrastructure platform built for teams who treat their pipelines as engineering, not plumbing. Ingest, transform, and observe — without the noise.

Read the docs →
IngestModelTransformObserveShip
beacon.yaml — pipeline definition
# Define a streaming pipeline from Postgres to the warehouse source: postgres.orders destination: warehouse.analytics transform: clean_currency: select: [id, amount, currency, created_at] where: "amount > 0 AND currency IS NOT NULL" enrich_geo: join: reference.iso_countries on: "orders.country = iso_countries.code" observe: freshness: "5m" volume: "±10%" alert: on-call-data # Beacon handles backfill, retries, and schema drift.

The platform

One declarative layer for ingestion, transformation, and observability

Most data tools ask you to stitch together three or four products and hope they agree on a schema. Beacon is a single declarative layer — you describe the pipeline, and the runtime handles connection pooling, backfill, schema evolution, and failure recovery.

It is, deliberately, the boring choice. No orchestration graph to maintain, no DAG visualizer to babysit. Your pipelines live in version control next to your application code.

Explore the architecture →
architecture — beacon runtime
SourcesPostgres · Kafka · S3 · Stripe
Beacon Runtimeschema drift · backfill · retries
WarehouseSnowflake · BigQuery · Databricks
Observefreshness · volume · lineage

What's inside

Six things Beacon does so your team doesn't have to

Each capability is a small, well-defined responsibility — not a feature checkbox. Together they replace the patchwork of ingestion, orchestration, and monitoring tools that most data teams maintain by hand.

Declarative pipelines

Define sources, transforms, and destinations in YAML. Version-controlled, reviewable, diffable. No more clicking through a UI at 2am.

Schema drift handling

When upstream adds a column, Beacon detects it, logs the change, and evolves the warehouse schema — without breaking downstream models.

Incremental backfill

Reprocess historical data without re-running the full pipeline. Beacon checkpoints by event time and resumes from the last clean offset.

📊

Lineage by default

Every column carries its provenance. Trace any metric back to its source field in seconds — for audits, root-cause analysis, or impact assessment.

📌

Freshness contracts

Declare how stale a table is allowed to get. Beacon measures actual lag against the contract and pages your on-call before downstream consumers notice.

💻

Local-first dev loop

Run a full pipeline against a sample of production data on your laptop. Test transforms with the same runtime that ships to staging — no mock harness drift.

Customer stories

Teams who replaced their patchwork with one layer

"We were maintaining Airflow DAGs, a custom ingestion service, and three separate monitoring dashboards. Beacon replaced all of it. Our pipeline code went from 2,400 lines of orchestration to 180 lines of declarative YAML."

"The lineage graph alone justified the migration. When a compliance audit asked where a specific patient-derived metric originated, we answered in two minutes instead of two days of archaeology."

"We shipped our first Beacon pipeline in an afternoon. It felt anticlimactic, which is the highest compliment I can give infrastructure. The thing that used to be a week of glue code became a config file."

Pricing

Priced by active pipelines, not seats

We don't charge per user. Your whole team can read, review, and deploy pipelines. You pay for the pipelines that are actually running.

Starter

$0

up to 3 active pipelines

  • 1 source connection
  • Community support
  • Local dev loop
  • 7-day lineage history
Most common

Team

$24/pipeline/mo

unlimited seats & sources

  • Unlimited source connections
  • Email & Slack support
  • 90-day lineage history
  • Freshness contracts & alerts
  • Schema drift automation

Enterprise

Custom

volume & self-hosted

  • Self-hosted or VPC
  • Dedicated support engineer
  • Unlimited lineage history
  • SOC 2 Type II, HIPAA
  • Custom SLAs
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