DataObservability
How it works Features
Data observability for Snowflake dbt data observability BigQuery data quality Databricks data observability Redshift data monitoring Airflow monitoring For data engineers For analytics teams Data reliability engineering
Monte Carlo alternative Metaplane alternative Bigeye alternative Anomalo alternative Soda alternative Great Expectations alternative Best data observability tools Datadog data observability alternative Acceldata alternative Datafold alternative Sifflet alternative Databand alternative Elementary alternative Collibra alternative
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Pricing

Data observability pricing plans, transparently listed

Every plan is paid and self-serve. No six-figure contract, no contact-sales gate to see a price. Confirm your work email and your 14-day trial starts, no credit card.

14-day trial, no card All 5 pillars, every table Read-only setup
Save 50% with yearly billing

Starter

Small data teams getting started

$59 /mo

$708 billed once a year, 50% off monthly

Get started
  • 1 warehouse connection
  • Up to 50 tables monitored
  • All 5 pillars: freshness, volume, schema, anomalies, lineage
  • Slack alerts
  • 7-day metric history
Most popular

Team

Growing analytics and data-eng teams

$179 /mo

$2,148 billed once a year, 50% off monthly

Get started
  • 1 warehouse connection
  • Up to 250 tables monitored
  • dbt-native auto-monitors
  • End-to-end lineage and ML anomaly detection
  • Slack and PagerDuty alerts, 90-day history

Scale

Data platforms running at scale

$479 /mo

$5,748 billed once a year, 50% off monthly

Get started
  • Multi-warehouse connections
  • Up to 1,500 tables monitored
  • Column-level lineage
  • SSO and audit log
  • Priority support

Enterprise

Large orgs and custom deployments

$999 /mo

$11,988 billed once a year, 50% off monthly

Get started
  • Unlimited tables monitored
  • In-VPC deployment option
  • DPA and custom integrations
  • Everything in Scale, 365-day history
  • Dedicated support engineer

14-day trial · no credit card · cancel anytime

Far below a six-figure contract

Enterprise data observability platforms are typically sold through sales-led, contract-based motions that start in the tens of thousands per year. Only three vendors in the category publish a price at all. We put ours on the page: 59 dollars per month for the same five pillars and end-to-end lineage, self-serve.

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Two quotes on the table

Vendor pricing compared head to head

Each comparison puts both vendors' published or marketplace prices next to the plans above, so you can see the gap before a sales call.

Acceldata vs Databricks Monte Carlo vs Soda pricing Monte Carlo vs Sifflet Acceldata vs Datadog pricing Lightup vs Acceldata pricing Sifflet vs Datadog pricing Metaplane vs Datadog Anomalo vs Great Expectations Datafold data diff alternative Ataccama vs Informatica pricing Ataccama vs Collibra pricing Alation vs Collibra pricing Atlan vs Collibra pricing Purview vs Collibra pricing Datadog data observability pricing Metaplane pricing Elementary Data pricing Coalesce Quality pricing Tableau Data Management pricing Enterprise data observability cost Data observability platforms under 100k Reading a data lineage vendor quote Best data observability tools for Redshift Best data observability tools for SQLMesh Snowflake data quality tools on Standard edition Informatica data quality alternatives Deequ alternatives Snowflake data metric functions cost

Pricing FAQ

What you get and what it costs

DataObservability is transparently priced and self-serve: Starter is 59 dollars per month, Team is 179 dollars per month, Scale is 479 dollars per month and Enterprise is 999 dollars per month, billed yearly (half the monthly price of 119, 359, 959 and 1,998 dollars). There is no six-figure contract and no contact-sales gate just to see a price. Every plan starts with a 14-day trial, no credit card required, and you can cancel anytime.

Most teams are live the same day. You connect your warehouse with read-only metadata access, and if you use dbt we auto-generate monitors from your manifest. All five pillars are active on day one, and lineage comes free from the same connection.

No. DataObservability is metadata-first: most monitors read warehouse metadata and information-schema statistics rather than scanning full tables, so the compute footprint stays tiny. Heavier checks are sampled and scheduled, and you control the cadence per table.

DataObservability connects to Snowflake, BigQuery, Databricks, and Redshift, is dbt-native, and reads orchestration signals from tools like Airflow and Fivetran. Alerts route to Slack and PagerDuty, and lineage spans your warehouse through to BI tools like Looker.

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