No-code data monitoring
Add monitors without writing SQL, and use suggested monitors to focus on the tables that matter most.
Metaplane by Datadog is a data observability platform for data teams that need to detect data quality issues, trace impact, and understand how to fix problems. It offers monitoring, lineage, alerting, and CI/CD features with free, usage-based, and enterprise pricing.
Metaplane by Datadog is a data observability platform for modern data teams. It is designed to catch silent data quality issues, show what changed, and help teams trace the impact from source systems through BI and reporting layers.
The product combines monitoring, anomaly detection, column-level lineage, usage analytics, and data CI/CD. The site also positions it as a fast-start platform, with free and paid plans, a setup flow that can take about 15 minutes, and optional Snowflake-native deployment for teams that want to work inside their warehouse.
Add monitors without writing SQL, and use suggested monitors to focus on the tables that matter most.
Track data quality across sources to BI and use machine learning-based models that account for seasonality and trends.
See end-to-end column-level relationships across warehouses, transformation tools, and BI systems with no manual setup required.
Identify how data is used, by whom, and how often so teams can prioritize the most useful queries and reduce data debt.
Prevent data quality issues before merges by running automated regression and impact tests in PR workflows.
Send targeted notifications with context through supported alert destinations to help teams resolve issues faster.
Use monitors, anomaly detection, and targeted alerts to catch silent data quality issues before they affect downstream reporting or decision-making.
Trace a broken metric or dashboard back through tables, schemas, and columns to identify the upstream source of the problem.
Review downstream dependencies before changing schemas or models so you can forecast which tables and dashboards may be affected.
Use dbt-connected CI/CD checks to run regression and impact tests on pull requests and reduce the chance of shipping data issues.
Look at table and query usage to understand which assets matter most and reduce attention on low-value or unused data.
Metaplane provides free and paid plans. The pricing page lists a Free plan, a usage-based Pro plan, and an Enterprise plan with custom pricing.
The pricing page lists Snowflake, BigQuery, Redshift, ClickHouse, Postgres, MySQL, SQL Server, and Databricks as supported data warehouses, plus dbt and BI tools such as Looker, Tableau, Metabase, Mode, Sigma, and Power BI.
The pricing page says the free plan includes 10 monitored tables and 4 users, while the Pro plan increases the number of monitored tables and users and adds more monitor types and alert destinations. The Enterprise plan adds custom integrations, SSO, and private connectivity options.
The homepage says Metaplane uses read-only access to metadata and does not store customer data or access PII. It also says Snowflake users can install the native app inside their warehouse and pay with existing Snowflake credits.
The site says setup can take about 15 minutes, with alerts appearing in as soon as 3 days, and that no credit card is required for the free plan.