Dataobservability
Blog / Buyer guide 8 min read

Metaplane Pricing: What Each Tier Costs and Where the Limits Bite

September 2026 · Dataobservability

SNOWFLAKE · PROD
247 tables |
Break a monitor:

Alerted #data-eng 0.8s ago.

Downstream impact · consumers at risk

INCIDENT #1042 OPEN · owner @you

Live console · pick a break, watch it get caught

Short answer: Metaplane publishes tier limits but not a dollar figure. The Free plan is 0 dollars forever and covers 10 monitored tables, 4 users, and 3 custom SQL monitors. Pro is usage based and priced per monitored table, listed at 100 tables with 12 users, unlimited viewers, and 5 custom SQL monitors. Enterprise is custom priced with unlimited tables, 12 or more users, and 10 custom SQL monitors. There is a 14-day trial before you pick a paid plan. The number worth staring at is the last one in each row: monitored tables scale from 10 to 100 to unlimited, and custom SQL monitors scale from 3 to 5 to 10.

That gap is the part a pricing page does not explain and a sales call rarely volunteers. Automated monitoring scales with your money. Your own business logic does not.

The published tiers, side by side

These are the limits Metaplane states on its own pricing page as of September 2026. Where a figure is absent, it is absent because Metaplane does not publish it, not because we could not find it.

PlanPriceMonitored tablesUsersCustom SQL monitors
Free0 dollars, free forever1043
ProUsage based, pay per monitored table, no rate published10012, unlimited viewers5
EnterpriseCustom, no figure publishedUnlimited12 or more, unlimited viewers10

Pro adds column level lineage, data CI/CD, and cost and performance monitoring on top of the Free feature set. Enterprise adds custom integrations, SSO through Okta, Active Directory or SAML, and AWS or Azure PrivateLink support. Those are the normal shapes of a mid-market and an enterprise tier, and there is nothing surprising in them.

Why the custom SQL ceiling matters more than the table count

Every data team that gets past its first year of monitoring ends up in the same place. The automated checks catch the obvious failures: a table stopped loading, row counts fell off a cliff, a column changed type overnight. Those are worth having and they are exactly what an anomaly detection engine is good at. But the incidents that cost real money are almost always business logic. Revenue recognized in the wrong period. Orders whose line item total does not reconcile to the header. A customer dimension where the active flag and the churn date contradict each other. Refunds counted twice because a source system replayed a batch.

None of those are anomalies in a statistical sense. The row counts look normal, freshness looks normal, the schema is unchanged. They are assertions you have to write, in SQL, against your own definitions. And on Metaplane you get 3 of them on Free, 5 on Pro, and 10 on Enterprise.

Ten is not a large number for a company paying an enterprise contract. A finance-facing warehouse at a mid-sized SaaS business will generate more than ten reconciliation rules before the first quarter close is done. So the honest way to read this pricing page is that Metaplane is priced and shaped as an automated anomaly detection product with a small allowance for hand-written rules attached, rather than as a general purpose data testing platform. If your program is mostly automated coverage across a wide surface, that shape fits well. If your program is mostly bespoke assertions, you will hit a wall that no amount of budget moves, because the ceiling is not on spend, it is on the plan.

What "pay per monitored table" actually means for your bill

Metaplane's Pro tier is usage based and charges per monitored table, and no per-table rate is published. Two consequences follow, and both are worth raising on the first call.

The first is that your bill is a function of scope, not of effort. Adding a fourth check to a table you already monitor does not change the meter. Connecting a second schema with 300 tables you barely look at does. That is the opposite of how most teams think about growing a monitoring program, because the natural instinct is to start narrow and deepen. Under a per-table meter, deepening is nearly free and widening is the expensive move. Decide deliberately which one you are doing.

The second is that a usage-based meter with no published rate cannot be modeled before you talk to sales. You can estimate a per-seat product from a headcount plan. You cannot estimate this one without the rate. Ask for it in writing, ask whether views and dbt models count as tables, and ask what happens if a dbt run creates and drops temporary relations inside the monitored schema. Then ask what the renewal looks like if the table count grows 40 percent, since that is the clause that surprises people in year two rather than year one. Teams that watch usage-based tooling closely often end up wiring a budget alert on the monthly spend so the finance conversation happens in month two rather than at renewal.

Metaplane is now owned by Datadog, and that is mostly good news

Datadog acquired Metaplane in April 2025, and Metaplane's own site frames it as bringing software and data observability together. As of September 2026 Metaplane still sells as a standalone product with its own pricing page, its own tiers, and its own free plan. It has not been folded into a Datadog SKU and it has not been discontinued.

For a buyer, ownership by a large public infrastructure vendor cuts both ways in ways worth naming honestly. On the good side: a security review packet, a procurement path your company may already have open, financial stability, and a strong reason to believe the product will exist in three years. If your organization already runs Datadog for application monitoring, there is a real argument for putting data monitoring next to it, because the on-call engineer looking at a broken dashboard at 2am should not have to switch vendors to find out whether the problem is the app or the table underneath it.

On the other side: acquired products tend to drift toward the parent's packaging over time, and the parent here sells a platform priced by hosts, ingested logs, and custom metrics. If you are signing a multi-year deal, ask explicitly whether the standalone pricing model is contractually protected for the term. That is a fair question and a reasonable vendor will answer it. We look at the broader picture of who owns whom in this market on the Metaplane alternatives page.

How Metaplane's meter compares with the rest of the market

Metaplane is one of the few platforms in this category with any published structure at all. Most do not publish tiers, limits, or figures. Here is what the meters actually count across the vendors whose numbers are verifiable, which makes the point that two quotes for the same warehouse are rarely comparable.

VendorWhat the meter countsPublic figure
MetaplaneMonitored tables, usage based on ProFree tier is 0 dollars. No rate published for Pro or Enterprise
Monte CarloMonitors, drawn against Monte Carlo Credits50,000 dollars per 12 months on its AWS Marketplace listing
SiffletAssets, with tiers at 500, 1,000, and above48,000 dollars per 12 months on its AWS Marketplace listing
BigeyeActively monitored tables45,000 dollars for 100 tables, 75,000 dollars for 300, both 12 months, on AWS Marketplace
AcceldataAverage terabytes of monitored data processed monthly5,000 dollars per TB for Data Reliability, plus a separate 10,000 dollar platform access listing
SodaProcessing units, with a free tier for unlimited usersFree at 0 dollars, Team at 750 dollars per month, Enterprise custom
DataobservabilityFlat monthly plan, monitors generate themselves99, 299, and 799 dollars per month, published

Bigeye is the closest structural match to Metaplane, since both count tables, and it is the useful reference point for what a table-based meter costs at enterprise scale. Its listings work out to roughly 37.50 dollars per table per month at 100 tables and 20.83 at 300. Whether Metaplane lands anywhere near that is not knowable from public information, but if a vendor quotes you a per-table rate wildly outside that band in either direction, it is worth asking what is different. Our full breakdown of how these models compare sits on the data observability pricing page, and the head-to-head between the two biggest enterprise listings is on Monte Carlo vs Sifflet.

Who Metaplane fits, and who it does not

Metaplane fits a team that wants broad automated coverage across a warehouse, wants column level lineage without a separate purchase, and is comfortable with a scope-based bill. The free tier at 10 tables and 4 users is genuinely usable for a proof of concept on your most important pipeline, which is more than most vendors in this category offer, and the 14-day trial covers the rest. If your company already runs Datadog, the argument gets stronger.

It fits less well in three situations. If your data quality program is built on hand-written SQL assertions, the 3, 5, and 10 monitor ceilings will bind before anything else does. If you need a firm annual number for a budget cycle, a usage-based meter with no published rate is hard to defend to finance. And if your warehouse is wide but shallow, with thousands of tables you want basic freshness and volume coverage on, a per-table meter is the most expensive possible shape for that estate.

The alternative worth checking first

If the reason you are reading a pricing page is that you need a number before you can start, that is a solvable problem. Dataobservability publishes its price: 99, 299, and 799 dollars a month, with a 14-day trial and no credit card. It connects read-only to Snowflake, BigQuery, Databricks, and Redshift, generates freshness, volume, schema, and distribution monitors automatically on every table it finds rather than making you budget for each one, includes column level lineage rather than gating it behind a tier, and routes alerts to Slack and PagerDuty. There is no monitored-table meter to forecast and no custom check allowance to ration. If you want to see what that covers on a warehouse like yours, start with data quality monitoring or connect a warehouse and let it find the tables itself.

Frequently asked questions

How much does Metaplane cost?

Metaplane does not publish a dollar figure for its paid plans. The Free plan is 0 dollars forever with 10 monitored tables, 4 users, and 3 custom SQL monitors. Pro is usage based and charged per monitored table at a rate Metaplane does not publish, listed at 100 tables. Enterprise is custom priced with unlimited tables. The only way to get a number is to ask for the per-table rate directly.

Does Metaplane have a free plan?

Yes. Metaplane's Free plan costs 0 dollars and is described as free forever, covering 10 monitored tables, 4 users, 3 custom SQL monitors, and the core monitoring with automated anomaly detection and manual thresholds. There is also a 14-day trial before you choose a paid plan. The free tier is genuinely useful for proving the product on one important pipeline before you buy.

How many custom SQL monitors does Metaplane allow?

Three on the Free plan, five on Pro, and ten on Enterprise. That ceiling stays in single digits at every tier while the monitored table count goes from 10 to 100 to unlimited. If your data quality program depends on hand-written business logic assertions rather than automated anomaly detection, this limit will bind long before the table count does, and no amount of budget raises it.

Is Metaplane still available after the Datadog acquisition?

Yes. Datadog acquired Metaplane in April 2025 and as of September 2026 Metaplane still sells as a standalone product with its own pricing page, its own tiers, and its own free plan. It has not been discontinued or folded into a Datadog SKU. If you are signing a multi-year contract, it is reasonable to ask whether the standalone pricing model is contractually protected for the term.

Is Metaplane cheaper than Monte Carlo?

Almost certainly at the low end, since Metaplane has a free tier and Monte Carlo's public AWS Marketplace listing prices a 12-month contract at 50,000 dollars with no self-serve option. At enterprise scale it is unknowable from public information, because Metaplane publishes no rate for its Enterprise tier. The two also meter different things, tables versus monitors, so the same warehouse produces quotes built from different inputs.

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