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Data & analytics · Tool
Metaplane
ResearchedMetaplane by Datadog is an end-to-end data observability platform that helps data teams detect, debug, and resolve data quality issues before they impact the business, offering monitoring, lineage, schema alerts, job monitoring, and Data CI/CD.
Official site snapshots
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In one minute
Start here for the decision-making essentials: what Metaplane does, who it is for, how it is accessed, and the first-party sources behind this profile.
Pricing4 options
Free tier available ("Start for free")
Free plan at $0, includes 10 monitored tables and 4 users
Pro plan is usage-based, pay per monitored table, includes 12 users and unlimited viewers
Enterprise plan is custom-priced, includes 12+ users and unlimited viewers
Platforms
Web
API accessNot public
FoundedNot disclosed by source
AvailabilityWeb / remote
LicenseProprietary
Best suited to
Source-backed fit High-leverage data teams Data engineers Modern data teams managing complex pipelines High-leverage data teams and data engineers
Decision support
6 sourced answersCommon questions and adoption checks
Short answers to the questions buyers and builders commonly ask about Metaplane. Each answer cites the shared ledger below, where every source is listed once.
01What does Metaplane say it can do?
Data observability platform that helps data teams know when things break, what went wrong, · End-to-end platform that catches silent data quality issues before they impact the busines · Monitoring and anomaly detection (be the first to know when something breaks) · Schema change alerts to increase awareness for the entire data team
Metaplane is a data observability platform that helps data teams know when things break, what went wrong, and how to fix it.
02Who is Metaplane intended for?
High-leverage data teams and data engineers
We built Metaplane for data engineers.
Ledger citation[3] metaplane.dev/tags/api
03What use cases does Metaplane describe?
Data observability for high-leverage data teams: data quality monitoring, anomaly detectio
Data observability for high-leverage data teams. Save time and preserve trust by being the first to know of data quality issues.
Ledger citation[2] metaplane.dev/security
04What should teams verify before adopting Metaplane?
Only accesses aggregate metadata (row counts, freshness, summary statistics); no sensitive
Metaplane only accesses aggregate metadata, such as row counts, freshness, and summary statistics. No sensitive customer information is retrieved or stored.
Ledger citation[2] metaplane.dev/security
05What pricing information is available for Metaplane?
Free tier available ("Start for free") · Free plan at $0, includes 10 monitored tables and 4 users · Pro plan is usage-based, pay per monitored table, includes 12 users and unlimited viewers · Enterprise plan is custom-priced, includes 12+ users and unlimited viewers
Start for free
06What integrations does Metaplane document?
Integrates with data warehouses (BigQuery, Clickhouse, Databricks, Redshift, Snowflake, AW · Integrates with data warehouses Snowflake, BigQuery, Redshift, Clickhouse, Postgres, MySQL · Integrates with ingestion tools Airbyte and Fivetran · Integrates with transformation tools dbt Cloud and dbt Core
DATA WAREHOUSES BigQuery Clickhouse Databricks Redshift Snowflake AWS S3 Ingestion Airbyte Fivetran Transformations dbt Cloud dbt Core transactional databases MySQL PostgreSQL SQL Server REVERSE ETL Census Hightouch notifications Jira orchestration Airflow Business intelligence Looker Metabase Mode PowerBI Sigma Tableau Hex
Decision guide
Data & analyticsCapabilities and operating fit
This profile connects the jobs Metaplane is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
Common use cases
- Monitoring and anomaly detection on data pipelines
- Schema change alerting across the data team
- End-to-end column-level lineage from sources to BI tools
- Pipeline job monitoring to eliminate latency issues
- Data CI/CD to catch quality regressions in pull requests
- Automated, context-rich alerts for faster incident resolution
Topics mapped
Verified capabilities
- Data observability platform that helps data teams know when things break, what went wrong,
- End-to-end platform that catches silent data quality issues before they impact the busines
- Monitoring and anomaly detection (be the first to know when something breaks)
- Schema change alerts to increase awareness for the entire data team
- Lineage and impact analysis providing data pipeline visibility from source to usage
- Job monitoring to eliminate pipeline latency issues
- Data Insights to explore how data is being used
- Data CI/CD that prevents data quality issues in PRs via automated regression and impact te
Recorded integrations
Integrates with data warehouses (BigQuery, Clickhouse, Databricks, Redshift, Snowflake, AWIntegrates with data warehouses Snowflake, BigQuery, Redshift, Clickhouse, Postgres, MySQLIntegrates with ingestion tools Airbyte and FivetranIntegrates with transformation tools dbt Cloud and dbt CoreIntegrates with reverse ETL tools Census and HightouchIntegrates with BI tools Looker, Metabase, Mode, PowerBI, Sigma, Tableau, and HexIntegrates with orchestration tool Airflow and notifications tool JiraData warehouses: BigQuery, Clickhouse, Databricks, Redshift, Snowflake, AWS S3Ingestion (Airbyte, Fivetran) and Transformations (dbt Cloud, dbt Core)Business intelligence: Looker, Metabase, Mode, PowerBI, Sigma, Tableau, Hex
Intended audiences
Access signals
- Pricing model
- Free tier available ("Start for free") · Free plan at $0, includes 10 monitored tables and 4 users · Pro plan is usage-based, pay per monitored table, includes 12 users and unlimited viewers · Enterprise plan is custom-priced, includes 12+ users and unlimited viewers
- API
- Not publicly listed
- Source links
- 16 recorded
Source-backed
Updated July 23, 2026Verified facts
Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.
Metaplane by Datadog | Data Observability for Modern Data Teams
Metaplane is now part of Datadog (Metaplane by Datadog) · Data observability platform for modern data teams · Catches silent data quality issues before they impact the business
Metaplane is now part of Datadog ("Metaplane by Datadog")
Data observability platform that helps data teams know when things break, what went wrong, and how to fix it
End-to-end platform that catches silent data quality issues before they impact the business
Monitoring and anomaly detection (be the first to know when something breaks)
Schema change alerts to increase awareness for the entire data team
View 32 more verified facts
Lineage and impact analysis providing data pipeline visibility from source to usage
Job monitoring to eliminate pipeline latency issues
Data Insights to explore how data is being used
Data CI/CD that prevents data quality issues in PRs via automated regression and impact tests on pull requests
End-to-end column-level lineage from sources to BI tools with no manual setup required
Automated alerting that gives targeted notifications with context to resolve issues
Integrates with data warehouses (BigQuery, Clickhouse, Databricks, Redshift, Snowflake, AWS S3), ingestion (Airbyte, Fivetran), transformations (dbt Cloud, dbt Core), transactional databases (MySQL, PostgreSQL, SQL Server), reverse ETL (Cen
Free tier available ("Start for free")
Free plan at $0, includes 10 monitored tables and 4 users
Pro plan is usage-based, pay per monitored table, includes 12 users and unlimited viewers
Enterprise plan is custom-priced, includes 12+ users and unlimited viewers
14-day free trial with all features, no credit card required
Snowflake customers can pay with existing Snowflake credits
Integrates with data warehouses Snowflake, BigQuery, Redshift, Clickhouse, Postgres, MySQL, SQL Server, and Databricks
Integrates with ingestion tools Airbyte and Fivetran
Integrates with transformation tools dbt Cloud and dbt Core
Integrates with reverse ETL tools Census and Hightouch
Integrates with BI tools Looker, Metabase, Mode, PowerBI, Sigma, Tableau, and Hex
Integrates with orchestration tool Airflow and notifications tool Jira
Enterprise plan includes SSO via Okta, AD, and SAML, plus AWS or Azure PrivateLink support
Data Observability
High-leverage data teams and data engineers
Monitoring and anomaly detection
Data CI/CD to prevent data quality issues in PRs
Schema change alerts
Lineage and impact analysis across source to usage
Job monitoring to eliminate pipeline latency issues
Free to start, no credit card required
Data warehouses: BigQuery, Clickhouse, Databricks, Redshift, Snowflake, AWS S3
Ingestion (Airbyte, Fivetran) and Transformations (dbt Cloud, dbt Core)
Business intelligence: Looker, Metabase, Mode, PowerBI, Sigma, Tableau, Hex
Monitoring and anomaly detection
Practical capabilities
8 documented areasWhat it helps with
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
Monitoring and anomaly detection on data pipelines
Schema change alerting across the data team
End-to-end column-level lineage from sources to BI tools
Pipeline job monitoring to eliminate latency issues
Data CI/CD to catch quality regressions in pull requests
Automated, context-rich alerts for faster incident resolution
Exploring how data is being used via Data Insights
Data observability for high-leverage data teams: data quality monitoring, anomaly detectio
Availability
Source checkedWhere it runs and where to get it
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
Cost / license
Free tier available ("Start for free") · Free plan at $0, includes 10 monitored tables and 4 users · Pro plan is usage-based, pay per monitored table, includes 12 users and unlimited viewers · Enterprise plan is custom-priced, includes 12+ users and unlimited viewers
Application types
Data ObservabilityData observability platformData Observability / Data Quality platform
Platforms
Integrates with data warehouses (BigQuery, Clickhouse, Databricks, Redshift, Snowflake, AW
App stores and other links
Adoption notes
DeploymentBuilt on Amazon AWS with servers hosted in the U.S. · Snowflake Native App available on Snowflake Marketplace
LicenseNot disclosed by source
Model supportNot disclosed by source
Data controlEnterprise plan includes SSO via Okta, AD, and SAML, plus AWS or Azure PrivateLink support · Compliant with SOC 2, GDPR, and HIPAA · Uses TLS for encryption in transit and encrypts its own databases at rest
Learning curveIntermediate
Primary use casesMonitoring and anomaly detection on data pipelines, Schema change alerting across the data team, End-to-end column-level lineage from sources to BI tools, Pipeline job monitoring to eliminate latency issues, Data CI/CD to catch quality regressions in pull requests, Automated, context-rich alerts for faster incident resolution, Exploring how data is being used via Data Insights, Data observability for high-leverage data teams: data quality monitoring, anomaly detectio
What to verify before adopting
- Only accesses aggregate metadata (row counts, freshness, summary statistics); no sensitive
Evolution and major updates
Research in progressMetaplane timeline
A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.
Scheduled for research
Building a reliable release history.
This profile is being checked for dated releases and material product changes. Nothing appears here until the exact date and event can be verified from a recorded source.
Dated event Short explanation Original source
Citation ledger
16 unique pagesRecorded sources
Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
- 1metaplane.dev 18 facts · 3 answers · Official site
- 2metaplane.dev/security 12 facts · 4 answers · Security
- 3metaplane.dev/tags/api 11 facts · 4 answers · Documentation
- 4metaplane.dev/pricing 12 facts · 2 answers · Pricing
- 5metaplane.dev/tags/guide 12 facts · 2 answers · Official site
- 6metaplane.dev/blog/category/changelog 12 facts · Official site
- 7metaplane.dev/customers 12 facts · Official site
- 8metaplane.dev/integrations 12 facts · Official site
- 9metaplane.dev/blog/5-things-to-know-about-microsoft-fabric 4 facts · Official site
- 10metaplane.dev/blog Official site
- 11metaplane.dev/blog/host-and-share-dbt-docs Documentation
- 12metaplane.dev/blog/introducing-metaplanes-public-api Documentation
- 13metaplane.dev/blog/metaplane-by-datadog-faq Official site
- 14metaplane.dev/blog/new-api-endpoint-evaluation-history Documentation
- 15metaplane.dev/tags/product Official site
- 16metaplane.dev/tags/public-api Documentation
Research status120 substantive facts · 16 source pages · quality score 88/100