Coalesce Quality Pricing: What Data Observability Costs After the SYNQ Acquisition

Short answer: Coalesce does not sell Quality on its own. Data observability is bundled with Coalesce Transform on every tier, so the price of monitoring is the price of the platform. The Developer tier is 0 dollars and includes Transform and Quality. Starter is listed at 150 dollars per user per month billed annually, capped at 4 Transform users and 15,000 actions per month. Enterprise is custom priced with 5 or more Transform users and 100,000 actions per month, and Business Critical is custom priced on top of that. The number that decides your bill is not the seat price. It is the action, because Coalesce defines an action as a successful node execution, a Catalog asset refresh, or a monitor refresh, which means every data quality monitor you run draws from the same pool as every pipeline you build.

That single definition is the whole story of this pricing page, and it is the part a demo will not dwell on. Monitoring and transformation are not separate budgets here. They are the same budget, spent twice.

The published tiers, as Coalesce states them

These figures come from Coalesce's own pricing page as of September 2026. Where a number is missing below, it is missing because Coalesce does not publish it.

Overage is described as a simple per-action rate with no tier jumps or penalties, which is a genuinely customer-friendly design compared to platforms that bump you into the next contract when you cross a line. The per-action rate itself is not published, so the overage is predictable in shape and unknowable in size until somebody quotes it to you.

What counts as an action, and why it decides the bill

Coalesce defines an action three ways: a successful node execution, a Catalog asset refresh, or a monitor refresh. Read those three together and the consequence is immediate. A team on Starter has 15,000 actions a month to spend across building pipelines, refreshing the catalog, and running data quality monitors. Those are not three allowances. They are one.

Work through what that means in practice. Say you monitor 300 tables and you want freshness checked hourly, because a table that stopped loading at 9am should not be discovered at 5pm. That is 300 monitors times 24 refreshes times 30 days, which is 216,000 monitor refreshes a month, before a single pipeline node runs. Drop to four times a day and it is 36,000. Drop to daily and it is 9,000, which fits inside Starter with 6,000 actions left for all your actual transformation work. The arithmetic is not a criticism of Coalesce, whose rate may well be cheap enough that none of this stings. It is a warning about what you are buying: on this meter, checking your data more often is arithmetically identical to building more pipelines, and the two compete.

This is the same trap that shows up across native warehouse tooling, where four of the five major meters charge you more for detecting problems faster. If your monitoring budget is metered by refresh frequency, the cheapest configuration is always the one that finds problems last. Teams that run usage-based data tooling generally end up wiring a real-time budget alert to the account, because the failure mode of a shared action pool is not a shocking invoice, it is a quiet decision three months in to halve the monitor schedule so the numbers work.

Why Coalesce Quality is not sold separately

Coalesce acquired SYNQ on March 10, 2026 and relaunched it as Coalesce Quality, positioning it alongside Coalesce Transform and Coalesce Catalog as part of what the company calls a data operating layer. The strategic logic is coherent: if you already build your pipelines in Coalesce, having quality monitoring inside the same product removes context switching and gives the monitors real knowledge of your models.

The logic inverts if you do not build your pipelines in Coalesce. SYNQ's strongest integration before the acquisition was with SQLMesh, and it was a serious piece of engineering, resolving models to their physical table locations across snapshots so monitors could follow SQLMesh virtual data environments. A team that chose SQLMesh made a deliberate decision about where its transformation logic lives. Buying observability that only arrives bundled with a competing transformation platform asks that team to pay for the thing it already decided not to use. Anyone in that position should read our breakdown of SQLMesh data quality and the audits that ship with the framework, because the practical answer for SQLMesh teams is now warehouse-level monitoring rather than framework-level.

How the Coalesce meter compares to everyone else's

The reason data observability pricing is so hard to compare is that no two vendors meter the same thing. Here is the full picture as of September 2026, from each vendor's own published material.

Nothing in that table is directly comparable to anything else in it, which is the point. Adding three checks to 400 tables you already watch moves the Monte Carlo bill and the Coalesce bill and does not move Sifflet's at all. Leaving clusters running overnight moves Datadog's and moves nobody else's. Hiring six analysts moves Tableau's and Coalesce's, because both count people, and moves nothing else. If you are building a budget line across shortlisted vendors, our guide to data observability pricing and what each meter actually charges for lays out how to normalize them, and the Metaplane tier limits are worth reading alongside this because they show the opposite failure: generous table counts with a custom SQL monitor ceiling stuck in single digits.

Is Coalesce Quality worth it if I already use Coalesce?

Probably yes, and this is the case where the bundling works in your favor rather than against it. If your pipelines are already built in Coalesce Transform, then Quality costs you no additional license, the monitors understand your nodes natively, and lineage runs through a catalog that already indexes your assets. You still need to do the action arithmetic before you set monitor schedules, but you are getting observability for the marginal cost of the actions it consumes rather than a second vendor contract. That is a genuinely good deal, and it is the strongest version of the platform argument.

What does Coalesce Quality cost for a team of ten?

Coalesce does not publish a figure for that, and the reason is structural rather than evasive. Starter caps at 4 Transform users, so ten Transform users puts you on Enterprise, which is custom priced. Using the Starter rate of 150 dollars per user per month as an anchor gives 1,500 dollars a month for ten seats, but treat that as a floor and not an estimate: Enterprise is negotiated, it includes 100,000 actions per month rather than 15,000, and it carries features Starter does not. The honest answer is that any team past four Transform users cannot price Coalesce from the website and has to take the call.

Three questions worth asking on the pricing call

First, what is the per-action overage rate in dollars? It is the only number that turns the action allowance into a budget, and it is not published. Second, does a monitor that finds nothing still consume an action? Almost certainly yes, since it is a monitor refresh, but get it in writing, because it determines whether your quiet tables are free to watch. Third, do failed node executions count? The definition says a successful node execution, which implies failures are free, and that is worth confirming since a flapping pipeline could otherwise be billed twice for being broken.

Ask all three before you model the cost, because the answers move the total by more than the seat price does. For a wider view of who owns what after eighteen months of consolidation, including the acquisitions that took four independent vendors off the board, see our map of the data observability market in 2026.

The bottom line

Coalesce publishes more than most of this market, and that deserves credit: a real seat price, real action allowances, and a plainly stated overage design put it ahead of the six vendors on the table above that publish nothing at all. The catch is not hidden, it is just easy to miss. Because Quality is bundled and metered from the same action pool as Transform, the cost of watching your data more closely is denominated in the same currency as the cost of building it, and those two things should not have to trade against each other. If your transformation layer lives somewhere else, whether that is SQLMesh, dbt, or Airflow, the cleaner arrangement is monitoring that connects to the warehouse read-only, prices itself on a flat tier, and does not care which tool wrote the table.