Elementary alternatives

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

Elementary Metaplane Monte Carlo Great Expectations
Vendor Elementary Data, Inc. Metaplane Monte Carlo Data, Inc. GX (Great Expectations)
Pricing model Quote only Free tier + paid plans Quote only Free tier + paid plans
Free tier Yes Yes No Yes
Deployment Cloud, Self-hosted Cloud Cloud Cloud, Self-hosted
Open source Yes (Apache-2.0) No No Yes (Apache-2.0)
Best for dbt-centric analytics engineering teams wanting observability without leaving their existing workflow. 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 and ML engineering teams wanting code-first, version-controlled data quality tests.
Pricing

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.

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.

Open-source library is free; GX Cloud has a free Developer plan plus quote-based Team and Enterprise plans.

Developer Free
Team Custom
Enterprise Custom

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

Features
  • 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
  • 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
  • Declarative 'expectations' for data validation
  • Auto-generated data documentation
  • Automated profiling and test suite generation
  • Airflow, dbt and Dagster integration
  • Python and SQL-based validation
  • GX Cloud hosted UI
  • Validation results store
  • Alerting on failed checks (Cloud)

In the index now