Metaplane vs Monte Carlo: Pricing per Monitored Table, Features and Which to Choose

Metaplane and Monte Carlo now both have a published per-table price, and at small and mid-size estates Datadog's list price and Monte Carlo's Scale tier land within about 8% of each other. Datadog, which owns Metaplane, lists its Data Observability meter at $16 per monitored table per month on an annual commitment, $19,200 a year for 100 tables. Monte Carlo's own order form and rate card put 100 tables at $17,885 on its Scale tier and $11,498 on Start. The real split is above 1,000 tables: Monte Carlo's bracketed rate card falls to about $86 per table a year at 5,000 tables and $47 at 10,000, while the Datadog list price stays at $192. Prices read from each vendor's own documents on 15 and 16 September 2026.

That changes the usual framing. For years the comparison was "Metaplane is the cheap, fast one and Monte Carlo is the enterprise one", and nobody could put numbers on it because neither vendor printed a rate on its pricing page. Both rates are now public if you know where to look, so this page compares them on money first and on fit second.

Metaplane vs Monte Carlo pricing at a glance

Sources: datadoghq.com/pricing/list with the site set to US, the Quality Monitoring pricing FAQ, metaplane.dev/pricing, montecarlo.ai start and scale order forms, and Monte Carlo Consumption Rates Version 2.1 (updated 8 September 2026). Totals are list, twelve months, standard monitors only, no discount.

The full working for each vendor is on its own page: Metaplane pricing covers Datadog's meter, what counts as a table and the Jobs Monitoring rates, and Monte Carlo data pricing covers every bracket on the credit rate card and the agents.

Is Metaplane cheaper than Monte Carlo?

Not at list, once you compare published numbers. Monte Carlo Start at $0.18 a credit is the cheapest paid option for 100 to 1,000 tables, at about $115 per table per year. Datadog's annual rate is $192 per table, and Monte Carlo Scale sits between them at $178.85. Metaplane's reputation as the budget choice comes from its free tier and self-serve Pro plan, not from a lower published rate.

There is one honest caveat. Metaplane's own pricing page still reads "pay per monitored table" with no figure, and Datadog does not say that Metaplane Pro contracts bill at the Quality Monitoring rate. A small team on Metaplane Pro may well pay less than $16 a table. What you cannot do is prove it from anything public, and that asymmetry matters when a finance team asks where your number came from.

Where the curves split: why estate size decides it

The two meters have different shapes. Datadog publishes one price per monitored table regardless of volume, with "starting at" wording that invites negotiation but no published bracket. Monte Carlo publishes eleven brackets. Tables 1,001 to 2,000 use 1.09 credits a day instead of 1.75, the fifth thousand uses 0.27, and everything past 10,000 uses 0.010.

So the comparison flips with scale. At 100 tables Datadog's list is $1,315 a year more than Monte Carlo Scale, a rounding error on a data team's budget. At 1,000 tables it is $13,150 more. At 5,000 tables the Datadog list total is more than twice Monte Carlo Scale, because every table past the first thousand still costs $192 and Monte Carlo's marginal table costs a fraction of that. A large estate on Datadog should expect to negotiate hard off list, and a small estate choosing between them should decide on fit, because price will not decide it.

Both bills also grow in ways the headline rate hides. On Datadog every custom SQL monitor counts as an extra table, so 200 tables with 40 business-rule checks bill as 240. On Monte Carlo, Metric, Custom SQL and Query Performance monitors are metered on top of Table Monitors, two AI agents became billable during 2026 and a third is metered from 1 October. A usage-metered observability bill is worth watching the same way you watch warehouse spend, and teams that already set real-time budget alerts on their SaaS subscriptions should add this one to the list before the first invoice arrives.

Metaplane vs Monte Carlo features: what each is built for

What Metaplane does better

Speed to first alert and a free way in. You connect Snowflake, BigQuery, Redshift, Databricks, Postgres, MySQL, SQL Server or ClickHouse, add dbt and a BI tool from Looker, Tableau, Metabase, Mode, Sigma or Power BI, and freshness, volume, schema and distribution monitors start learning baselines within a day. The Free plan covers ten tables and three custom SQL monitors at $0 with no time limit, which neither Monte Carlo nor Bigeye offers.

The other advantage is Datadog itself. If your infrastructure and application alerts already route through Datadog, data incidents land in the same on-call rotation, next to the Airflow and Spark job traces from Datadog's Jobs Monitoring. For a platform team that already pays Datadog, that consolidation is worth more than any line on a price comparison.

What Monte Carlo does better

Breadth at enterprise scale. Monte Carlo's Scale tier adds lakes (Databricks, Hive, Glue, ADLS), transactional databases, SSO, SCIM, self-hosted storage and PII filtering, and Enterprise adds Oracle, SAP HANA, Teradata and Microsoft Fabric plus multi-workspace chargeback. It runs a set of agents on top of monitoring: a Troubleshooting Agent for root cause, a Triage Agent for alert volume, a PR Agent that reviews changes, and Agent Observability for teams putting LLM agents into production. Metaplane Pro stops at 100 tables and 5 custom SQL monitors; Monte Carlo's Start tier alone allows up to 1,000 monitors.

Where they are the same

Both are monitoring-first. Both connect read-only, both learn baselines from history, both show column-level lineage to explain an alert after it fires. Neither is built primarily to answer the question "what breaks if I change this column" before a change ships. Metaplane sells a Data CI/CD add-on for dbt pull requests and Monte Carlo has its PR Agent, but a Fivetran schema change, a vendor adding a column upstream or an analyst editing a Looker explore never arrives as a pull request.

Which should you choose?

Choose Metaplane if you are under 100 tables, want to start free today, or already run Datadog and want data alerts in the same place. Budget $16 a table a month at list if you grow onto Datadog's meter, and ask whether your Metaplane contract bills at that rate.

Choose Monte Carlo if the estate is past a thousand tables, spans lakes and legacy databases, or needs the agents. Its published brackets make it the cheaper list price at scale, and Start at $0.18 a credit is the cheapest published paid rate for mid-size teams willing to live with the tier's 1,000-monitor cap and its one BI plus one orchestration integration.

Choose neither if what you actually came for is lineage and change impact. Both vendors give you the lineage graph as a way to explain an alert, and both charge for the alerts table by table. Datatrail connects read-only to your warehouse, parses query history and dbt artifacts into column-level lineage, and shows downstream impact analysis for any column before you merge, with freshness and schema-change alerts ranked by what they break. Plans are flat at $99, $299 or $799 a month on the pricing page, with no table count. For the full shortlist when you are moving off either tool, see Metaplane alternatives and Monte Carlo alternatives.

Frequently asked questions

What is the difference between Metaplane and Monte Carlo?

Metaplane is a self-serve data observability tool owned by Datadog, with a free plan for 10 tables and a Pro plan capped at 100 monitored tables. Monte Carlo is an enterprise data and AI observability platform billed in credits across four tiers, with broader source coverage and a set of AI agents. Both monitor freshness, volume and schema and show column-level lineage.

How much does Monte Carlo cost compared to Metaplane?

For 100 monitored tables, Monte Carlo costs $11,498 a year on Start and $17,885 on Scale at its published credit rates. Datadog's published Data Observability rate, the nearest public figure for Metaplane, is $19,200 a year for the same 100 tables on an annual commitment. At 1,000 tables the figures are $114,975, $178,850 and $192,000.

Does Metaplane have a free plan and does Monte Carlo?

Metaplane does: the Free plan covers 10 monitored tables and 3 custom SQL monitors with Slack, email and Teams alerts, with no time limit. Monte Carlo's pricing page and published order forms show no free plan. Its smallest published option is the Start tier at $0.18 per credit, billed monthly, with no minimum commitment printed on the order form.

Is Metaplane part of Datadog?

Yes. Datadog announced the acquisition of Metaplane on 23 April 2025, and the product is sold as Metaplane by Datadog at metaplane.dev. Datadog also lists Data Observability Quality Monitoring on its own price list at $16 per monitored table per month billed annually, with lineage and metadata syncing included at no charge.

Which is better for a Snowflake and dbt team?

Both support Snowflake and dbt well. Under 100 tables, Metaplane's free tier and self-serve Pro plan get you monitoring fastest, and Metaplane lets Snowflake customers pay with existing Snowflake credits. Past a few hundred models, Monte Carlo's published brackets are cheaper at list. If the pain is changes breaking dashboards rather than stale tables, a lineage-first tool fits better than either.