Metaplane alternatives

3 tools to consider instead of Metaplane, shown against it.

Metaplane Monte Carlo Bigeye Elementary
Vendor Metaplane Monte Carlo Data, Inc. Bigeye Elementary Data, Inc.
Pricing model Free tier + paid plans Quote only Quote only Quote only
Free tier Yes No No Yes
Deployment Cloud Cloud Cloud Cloud, Self-hosted
Open source No No No Yes (Apache-2.0)
Best for Small-to-mid data teams wanting quick setup and transparent per-table pricing. Enterprise data teams needing broad, automated monitoring across many warehouse tables. Data platform teams wanting automated observability coverage without hand-writing every check. dbt-centric analytics engineering teams wanting observability without leaving their existing workflow.
Pricing

Free plan covers 10 monitored tables; Pro is usage-based per monitored table; Enterprise is custom.

Free $0
Pro Usage-based, pay per monitored table
Enterprise Custom

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Credit-based, pay-per-monitor pricing across four named tiers; actual credit rates require a sales quote.

Start Custom, pay per monitor
Scale Custom, pay per monitor
Enterprise Custom, pay per monitor
Business Critical Custom, pay per monitor

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Custom quote; the vendor's pricing page could not be read.

Pricing has not been verified yet — see the vendor's site.

Open-source dbt package is free to self-host; Elementary Cloud tiers (Scale/Enterprise/Unlimited) require a sales conversation.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

Features
  • Automated table and column monitoring
  • Custom SQL monitors
  • Column-level lineage
  • Data CI/CD checks on pull requests
  • Warehouse cost monitoring
  • Slack/Teams/email alerting
  • Anomaly detection
  • Snowflake credit billing option
  • Automated data lineage and impact analysis
  • ML-based anomaly detection
  • Freshness, volume and schema monitoring
  • Incident management and alerting
  • Root cause analysis
  • Monitors-as-code
  • dbt and Airflow pipeline context integration
  • Automated metric generation
  • ML-based anomaly detection
  • Data SLAs
  • Lineage-based root cause analysis
  • Custom SQL rules and unit tests
  • Slack and PagerDuty alerting
  • Lightweight catalog view
  • dbt-native anomaly detection
  • Automated tests derived from dbt metadata
  • Column-level lineage
  • Incident management
  • Slack/Teams/Jira alerting
  • AI agents for root-cause suggestions
  • Data health scores
  • Self-hosted open-source core

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