Metaplane
Data quality monitoring and incident detection for data warehouses
- Also known as
- metaplane
Available worldwide
What is Metaplane?
A data observability platform that monitors data warehouse quality using automated alerts, detects anomalies, and traces column-level lineage from source to analytics tools to help data teams identify and resolve data quality issues quickly.
Metaplane pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
Free plan with 10 tables, then pay per monitored table for Pro, or custom Enterprise pricing
Free
FreeFree forever plan with basic monitoring
- users
- 4
- monitored_tables
- 10
- custom_sql_monitors
- 3
- 10 monitored tables
- 4 users
- Unlimited viewers
- Volume, schema, freshness, uniqueness, nullness, statistical distribution monitoring
- Manual thresholds
- Basic alerting to Slack, Email, MS Teams
- Email support
Pro
Usage-based pricing for growing data teams
- users
- 12
- monitored_tables
- 100
- custom_sql_monitors
- 5
- Everything in Free
- 100 monitored tables
- 12 users
- Unlimited viewers
- Column-level lineage
- Data pipeline visibility
- Data CI/CD with regression testing
- Cost & performance monitoring
- Data usage insights
- dbt job monitoring
- Query monitoring
- Custom SQL monitors
- Alerting to Slack, Email, MS Teams, PagerDuty
- Premium support, shared Slack channel, CSM
Enterprise
Contact salesCustom pricing for enterprise-grade teams
- users
- Custom
- monitored_tables
- Unlimited
- custom_sql_monitors
- 5
- Everything in Pro
- Unlimited monitored tables
- Custom user limits
- Automated anomaly detection with ML
- Advanced monitor types (partition, rolling window)
- Data impact previews
- Data test previews
- Warehouse spend monitoring
- Custom SQL monitors with ML models
- Custom integrations
- SSO (Okta, AD, SAML)
- AWS or Azure PrivateLink support
- Alerting to Slack, Email, MS Teams, PagerDuty, API, Webhooks
- Model adjustment based on user feedback
- Premium support, shared Slack channel, dedicated CSM, engineering time
Add-ons
- Data Impact Previews
- Data Test Previews
- Warehouse Spend Monitoring
- Credit and Spend Monitoring
What Metaplane does
The capabilities that matter for data quality, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Deployment model
- Cloud managed saas
- ML automated anomaly detection
- ✓
- Custom python sql testing rules
- ✓
- Column level data lineage tracing
- ✓
- Data freshness delay monitoring
- ✓
- Schema change drift alerts
- ✓
- Data volume anomaly monitoring
- ✓
- Snowflake bigquery dwh sync
- ✓
- Dbt airflow orchestration sync
- ✗
- Slack pagerduty incident routing
- ✓
- SOC2 type ii
- ✓
- ISO 27001
- ✓
- Pricing model
- Data volume compute tier
Platform & deployment
Independently observed- Web
- Cloud / SaaS
- Self-hosted
Integrations (27)
Independently observed- Snowflake
- BigQuery
- Redshift
- Clickhouse
- Postgres
- MySQL
- SQL Server
- Databricks
- dbt
- Fivetran
- Looker
- Tableau
- Metabase
- Mode
- Sigma
- PowerBI
- Slack
- MS Teams
- PagerDuty
- API
- Webhooks
- GitHub
- GitLab
- Jira
- Segment
- Hex
Metaplane alternatives
Other data quality we track, ranked by the same independent score.
Compare Metaplane
Side by side against other data quality, attribute by attribute, with a source on every value.
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Metaplane, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Pricing transparency | 80 | 0.08 | 6.7 | ✓ |
| Security posture | 85 | 0.07 | 6.2 | ✓ |
| Capabilities | 100 | 0.05 | 4.9 | ✓ |
| Price level | 80 | 0.05 | 4.2 | ✓ |
| Integrations | 42 | 0.04 | 1.7 | ✓ |
| Reliability | 0 | 0.07 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Iso 27001: Yes · Soc2 type ii: Yes · Pricing model: data_volume_compute_tier · Deployment model: cloud_managed_saas · Schema change drift alerts: Yes · Snowflake bigquery dwh sync: Yes | mediumsource · 2026-08-25 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 27 | mediumsource · 2026-08-25 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-25 · 75% |