Datadog Data Observability With Data Jobs Monitoring and Quality Monitoring Priced
Your infrastructure alerts already land in Datadog, so switching on data monitoring there looks free. It is not. We read Datadog's own price list and docs, costed a real estate line by line, and set it next to the alternatives. Or connect your warehouse here with a read-only role and see your column lineage in minutes.
Read-only connection. DataTrail never moves or mutates your data.
Datadog Data Observability is billed as two meters: Quality Monitoring at $16 per monitored table per month on an annual commitment, and Data Jobs Monitoring at $0.05 per host-hour for Databricks and Spark clusters or $0.10 per job-hour for Airflow and dbt. Lineage and the data catalog are included. For 250 tables, 30 custom SQL checks, a 12-host Databricks workspace and 40 Airflow jobs, that is about $57,360 a year at list. Almost all of it is the table meter, so the bill grows with the warehouse, not with the team.
Five parts of Datadog Data Observability and which ones carry a price
Datadog built this product out of two things: its own Data Jobs Monitoring, which watched Spark and Databricks runs for cost and failures, and Metaplane, the warehouse monitoring startup it bought in April 2025. The documentation now presents five parts. Two of them are metered.
Freshness delays, row-count anomalies and column metrics like null counts and uniqueness, on static thresholds or learned baselines.
Run health, duration and Spark stage metrics such as idle executor CPU, shuffle and disk spill, correlated with logs and cluster config.
Tables, columns, jobs and dashboards in one graph, built from the metadata the two monitoring products already collect.
A searchable inventory of the assets your connected integrations expose, with owners and usage.
Impact Lineage and Drift Detection posted as a comment on pull requests that modify dbt models.
Snowflake, Databricks, BigQuery, Redshift, Iceberg tables in AWS Glue, and PostgreSQL.
Databricks, Airflow, dbt Core and dbt Cloud, AWS Glue, Azure Data Factory, Spark on Kubernetes, EMR and Dataproc, and custom jobs that emit OpenLineage events. Lineage also reads Airbyte, Fivetran and Hightouch.
Looker, Tableau, Sigma, Metabase and Power BI, for downstream impact.
Datadog Data Observability pricing by billing option
Datadog's public price list shows every product in three columns. Annual is the committed rate, month-to-month costs about 31% more for tables, and on-demand 50% more. There is no minimum: Datadog's pricing FAQ says you can start with one monitored table, and usage is averaged over the month.
| Product | Unit | Billed annually | Month-to-month | On-demand |
|---|---|---|---|---|
| Quality Monitoring | Per monitored table, per month | $16 | $21 | $24 |
| Jobs Monitoring, Clusters (Databricks and Spark) | Per host, per hour | $0.05 | $0.06 | $0.072 |
| Jobs Monitoring, Orchestrators (Airflow and dbt) | Per job, per hour | $0.10 | $0.12 | $0.144 |
| Jobs Monitoring, Databricks serverless | Per job, per hour | Contact sales | Contact sales | Contact sales |
| Lineage, catalog and metadata sync | Included | $0 | $0 | $0 |
datadoghq.com/pricing/list with the Datadog site set to US, read 12 October 2026. List prices, before any negotiated discount.
A table with standard monitors (freshness, volume, schema, column metrics) counts once. Each custom SQL monitor counts as an extra table, so business-rule checks quietly raise the meter.
Cluster jobs are metered on the hosts they run on, per hour. Orchestrated jobs in Airflow and dbt are metered per job, per hour. Long-running DAGs cost more than many short ones.
Jobs Monitoring for Databricks serverless shows "Contact sales" in all three columns. If your Databricks spend has moved to serverless, the cheapest-looking line is the one without a number.
What Datadog data quality monitoring and jobs monitoring cost for a mid-size team
| Line | How we got there | Per year at list |
|---|---|---|
| Quality Monitoring | 280 billable tables (250 tables plus 30 custom SQL monitors) x $16 x 12 | $53,760 |
| Jobs Monitoring, Databricks clusters | 12 hosts x 10 hours x 30 days = 3,600 host-hours a month x $0.05 x 12 | $2,160 |
| Jobs Monitoring, Airflow | 40 jobs x 1 hour x 30 days = 1,200 job-hours a month x $0.10 x 12 | $1,440 |
| Lineage and catalog | Included | $0 |
| Total | Annual billing, standard and custom SQL monitors, no discount | $57,360 |
The estate is our own example of a common US mid-market stack: Snowflake or Databricks as the warehouse, dbt for modeling, Airflow for orchestration, a few hundred production tables. Swap in your own counts; the shape of the answer rarely changes. The table meter is 94% of the bill. Jobs Monitoring is cheap at these volumes, and the lineage you would otherwise buy separately is free.
Two things move the number most. Growth: at 1,000 monitored tables the Quality Monitoring line alone is $192,000 a year, because Datadog publishes one flat rate with no volume brackets. And custom SQL: every business rule you encode as a monitor adds $192 a year at the annual rate. Teams that monitor "everything in the warehouse" by default tend to find this out at the first true-up.
When Datadog Data Observability is the right buy and when it is not
- One on-call for everything. If your platform team already routes infrastructure and application alerts through Datadog, a late table lands in the same rotation as the Spark job that caused it. No other tool on this page can do that.
- Spark cost visibility. Jobs Monitoring shows idle executor CPU, shuffle and spill per run and recommends cluster changes. That is a real money-saver on Databricks, and it is metered cheaply.
- Lineage at no extra charge, down to columns on Snowflake, with dashboards from five BI tools.
- No minimum. You can start with one table on a month-to-month bill.
- dbt pull request checks. Impact Lineage and Drift Detection comment on PRs in GitHub, GitLab, Bitbucket Cloud and Azure DevOps.
- The meter follows the warehouse. $192 per table per year at list, with no published volume break. A 5,000-table estate is $960,000 a year before negotiation.
- Pre-merge impact covers dbt PRs only. A Fivetran connector dropping a column, a vendor changing a feed, or an analyst editing a Looker explore never arrives as a dbt pull request, so it is caught after it breaks.
- Lineage is as wide as your monitoring. It is built from the integrations you connect for Quality and Jobs Monitoring, so cutting monitored tables to save money also narrows the graph you rely on during an incident.
- Not on the federal sites. The docs say Data Observability is not supported on app.ddog-gov.com or us2.ddog-gov.com.
- You need a Datadog account. For a data team that does not already use Datadog, this is a second large vendor relationship, not a data tool.
The full Metaplane side of this story, including the Free plan and the 100-table Pro cap, is on Metaplane pricing. If your team is mostly in dbt, our dbt observability comparison prices six tools for a 300-model project.
Datadog Data Observability vs Monte Carlo, Metaplane and DataTrail
Same 280 billable tables, list prices only. These tools overlap but do not do identical jobs: Monte Carlo and Datadog are broad anomaly monitors, DataTrail is lineage-first with freshness and schema-change alerts. The column that matters is the last one.
| Tool | Published meter | This estate, per year | Best for |
|---|---|---|---|
| Datadog Data Observability | $16 per monitored table a month, annual | $53,760 for 280 billable tables | You already run Datadog and want data alerts in the same on-call |
| Metaplane by Datadog | Free to 10 tables, Pro per table to 100, rate not printed | Above the Pro cap | Small estates starting free |
| Monte Carlo, Scale | $0.28 per credit, 1.75 credits per table a day | About $50,000 for 280 tables | Large estates across lakes and legacy databases |
| Monte Carlo, Start | $0.18 per credit, up to 1,000 monitors | About $32,000 for 280 tables | Mid-size teams that can live with one BI and one orchestrator |
| DataTrail | Flat plan, no table meter | $2,148 a year on Team, $5,748 on Scale | Column-level lineage and impact before a change ships |
Monte Carlo from its Start and Scale order forms and Consumption Rates 2.1 (read 15 September 2026), table monitors only. Metaplane from metaplane.dev (16 September 2026). DataTrail from our pricing page, billed yearly; Enterprise sits above Scale.
Monte Carlo is cheaper per table than Datadog at list on both of its published tiers, and its brackets make the gap widen with scale. Datadog wins on consolidation, not on price. Monte Carlo pricing walks through every bracket.
DataTrail is a different trade. We do not meter tables, so connecting the whole warehouse costs the same as connecting ten schemas. What you get is column-level lineage from query history and dbt artifacts, and downstream impact analysis for any column before you change it, whether the change comes from a dbt PR, a connector, or an analyst. We do not profile Spark executors and we are not your infrastructure monitor. You can keep Datadog for that and use DataTrail for the data graph.
How DataTrail works next to Datadog
Snowflake, BigQuery, Redshift, Databricks or Postgres. Metadata and query history only, nothing written back.
Query history and dbt artifacts become a column-level graph across every table, monitored or not.
Tableau, Looker and Power BI content links to the columns it reads.
Freshness and schema-change alerts in Slack list the models and dashboards they reach. Keep Datadog for hosts and Spark.
Datadog Data Observability questions buyers ask
How much does Datadog Data Observability cost?
Datadog lists Quality Monitoring at $16 per monitored table per month billed annually, $21 month-to-month and $24 on-demand. Jobs Monitoring is $0.05 per host per hour for Databricks and Spark clusters and $0.10 per job per hour for Airflow and dbt on annual billing. Lineage and the catalog carry no separate charge. A 280-table estate with Databricks and Airflow jobs comes to about $57,000 a year at list.
What is included in Datadog Data Observability?
Five parts, per Datadog's documentation: a Data Catalog of your warehouse assets, Lineage across tables, columns, jobs and dashboards, Quality Monitoring for freshness, row counts and column metrics, Jobs Monitoring for Databricks, Spark, Airflow, dbt, Glue and Azure Data Factory runs, and CI/CD checks that comment on pull requests that modify dbt models.
What is Datadog Data Jobs Monitoring?
It is the part of Data Observability that watches pipeline runs rather than tables. It tracks job health, duration and failures across Databricks, Spark on EMR, Dataproc and Kubernetes, Airflow, dbt, AWS Glue and Azure Data Factory, shows Spark stage metrics such as idle executor CPU and disk spill, and is billed per host-hour for clusters and per job-hour for orchestrators.
Does Datadog do data quality monitoring?
Yes. Datadog Quality Monitoring detects late table updates, unexpected row counts and changes in column metrics such as null counts and uniqueness, using static thresholds or learned baselines. It connects to Snowflake, Databricks, BigQuery, Redshift, Iceberg tables in AWS Glue and PostgreSQL, and traces impact into Looker, Tableau, Sigma, Metabase and Power BI.
Is Metaplane part of Datadog?
Yes. Datadog announced the acquisition of Metaplane on 23 April 2025. Metaplane still sells its own Free, Pro and Enterprise plans as Metaplane by Datadog, while Datadog sells Quality Monitoring inside its own platform on the same per-monitored-table meter. Datadog does not state that Metaplane Pro contracts bill at the $16 Quality Monitoring rate.
Does Datadog charge extra for data lineage?
No. Datadog builds lineage from the metadata its Quality Monitoring and Jobs Monitoring integrations already collect and does not bill it as a separate line. You pay for monitored tables and for job hours. That makes lineage cheap to switch on, but only as wide as the sources you have connected for monitoring.
Is Datadog Data Observability available in GovCloud?
No. Each Data Observability documentation page states the product is not supported on the app.ddog-gov.com and us2.ddog-gov.com sites, and Datadog's pricing FAQ says Quality Monitoring is not currently available in GovCloud (US). Federal teams on those sites need a different tool for data quality and lineage.
Is there a cheaper alternative to Datadog Data Observability?
For lineage and change impact, yes. DataTrail connects read-only to Snowflake, BigQuery, Redshift, Databricks or Postgres, builds column-level lineage from query history and dbt artifacts, and sends freshness and schema-change alerts with the downstream dashboards listed, on a flat plan from $708 a year with no per-table meter. Monte Carlo Start is cheaper per table at list if you want broad anomaly monitoring.
Where these numbers came from
Rates come from Datadog's public price list with the Datadog site set to US. The page renders in the browser, so we loaded it and read the Data Observability rows for all three billing options; the figures match what we first recorded on 16 September 2026 and were rechecked on 12 October 2026. Product scope, supported sources, the federal-site restriction and the CI/CD behavior come from the Data Observability pages on docs.datadoghq.com, read the same day.
The worked estate is our own example and its assumptions are stated in each row. Job-hour counts in particular depend on how your DAGs are scheduled, so treat those two lines as an order of magnitude. Monte Carlo comparisons use its published order forms and consumption rates. List prices are where a negotiation starts; large Datadog accounts usually carry commit discounts across products.
Related pages
The Free plan, the 100-table Pro cap and estates from 10 to 5,000 tables.
Per-table cost curves and where they split.
Credits, brackets and what a table costs per year.
The full field compared on price and fit.
Native monitoring, Datadog, Monte Carlo and DataFlint priced for a lakehouse.
The realistic shortlist if you are moving off.
See every column your warehouse feeds without a per-table meter
Connect a read-only role, get column-level lineage and impact analysis across the whole warehouse, and keep Datadog for your hosts. Plans start at $59 a month billed yearly.