FAQ
Data Observability FAQ on Cost, Setup and Security
DataObservability monitors freshness, volume, schema, anomalies and lineage on Snowflake, BigQuery, Databricks and Redshift through a read-only connection. Plans start at 59 dollars a month billed yearly, most teams are live the same day, and every plan starts with a 14-day trial and no credit card.
- StarterUp to 50 tables monitored $59/mo
- TeamUp to 250 tables monitored $179/mo
- ScaleUp to 1,500 tables monitored $479/mo
- EnterpriseUnlimited tables monitored $999/mo
Monthly billing is twice the yearly rate. One trial per work email.
Before you buy
Pricing and billing
How is data observability priced per table?
Here it is a flat monthly tier with a table ceiling, not a meter. Billed yearly, Starter costs 708 dollars a year for up to 50 tables (about 14 dollars a table), Team 2,148 dollars for 250 tables (about 8.60 dollars a table) and Scale 5,748 dollars for 1,500 tables (under 4 dollars a table). Many enterprise tools bill by monitors, credits, assets or compute hours instead, which is harder to forecast.
Is yearly or monthly billing cheaper for data observability?
Yearly billing costs half of monthly. Starter is 59 dollars a month billed yearly against 119 dollars month to month, Team 179 against 359, Scale 479 against 959. Monthly suits a team proving value over a quarter; yearly suits a team that already knows which warehouse and how many tables it needs to watch.
Can I change plans later without signing a new contract?
Yes. A plan change goes on your existing subscription from the billing portal, so you move from Starter to Team, or from monthly to yearly, without a second checkout, a new order form or a sales call. Each work email holds one subscription, which keeps invoices and access in one place.
What happens to monitoring if the subscription lapses?
Monitors stop and the workspace shows no tables, metrics or incidents until the plan is paid again. Your warehouse is untouched either way, because the connection was read-only from the start. Paying again picks the same connection back up, so there is nothing to rebuild.
Before you buy
Choosing a tool
How much do enterprise data observability tools cost compared with this?
Public contract prices we read on AWS Marketplace in September 2026 run 50,000 dollars a year for Monte Carlo, 48,000 for Sifflet and 45,000 for Bigeye. Team here is 2,148 dollars a year for 250 tables. Enterprise tools add depth such as broad connector catalogs and dedicated support; the gap is the price of that depth.
Is a data observability platform worth it for a small data team?
Usually yes, once a table feeds something people act on: a revenue dashboard, a finance export, a customer-facing metric. Starter at 708 dollars a year watches 50 tables for freshness, volume, schema and anomalies, which costs less than the hours one stale dashboard eats in Slack threads, reruns and an apology to finance.
Does it work with dbt Core and dbt Cloud?
Yes. On Team and above you upload the manifest.json that every dbt run writes, from dbt Core's target folder or a dbt Cloud job's artifacts. Models, sources and seeds become monitored tables, declared source freshness becomes each table's SLA, and the model graph becomes lineage. Starter monitors the same tables without the manifest.
Setup, compute and security
Questions data teams ask first
Data observability is the practice of continuously monitoring the health of your data and pipelines across five pillars: freshness, volume, schema, distribution (anomalies), and lineage. A data observability platform automatically detects when data arrives late, when row counts swing unexpectedly, when a schema changes, or when values drift, then alerts the data team and maps the downstream impact so problems get caught before stakeholders see broken numbers.
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.
Alerts are tuned to be acted on, not ignored. ML-based thresholds learn each table's normal behavior, related alerts are grouped into a single incident, and you set severities and routing per monitor. The result is fewer, higher-signal alerts in Slack or PagerDuty.
We connect with read-only access and are metadata-first, meaning we read metadata and statistics rather than copying your rows. Enterprise plans offer an in-VPC deployment so data never leaves your environment, plus SSO and an audit log.
dbt tests and assertion frameworks check rules you write at run time, which is valuable but only catches the failures you anticipated, only when a model runs. Data observability adds always-on, ML-tuned monitoring across freshness, volume, schema, and anomalies on every table, plus end-to-end lineage and incident tracking, so you also catch the breakages you did not think to write a test for.
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.
No. Monitors and lineage are generated from your warehouse and dbt project, which you own. There is no proprietary modeling layer to rebuild and no long-term contract on self-serve plans. You can export your configuration and cancel anytime.
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