Vendor

Chronosphere pricing 2026: the number they will not put in writing

Verified June 2026

Chronosphere publishes no public price. It is a contact-sales, enterprise observability platform that charges on persisted writes, the data it actually stores, rather than on raw ingest. Here is exactly what that means for the bill, and why the model exists.

TL;DR

No public price: Chronosphere is contact-sales only. The meter is persisted writes (DPPS), the data points actually stored after the Control Plane aggregates telemetry, not raw ingest. That means aggressive central aggregation directly lowers the bill. It is an enterprise, high-cardinality Prometheus platform with no free or self-serve tier. Compare on your own persisted cardinality, because there are no list rates to quote.

The pricing model

You pay for what is stored, not what is sent

Chronosphere's entire commercial premise is that most metric data is redundant, and that charging on raw ingest punishes teams for cardinality they cannot control at the source. The meter is built around that premise.

Chronosphere does not publish a price list. There is no free tier, no self-serve checkout, and no per-host or per-GB rate card on the public site. It is sold through a sales conversation, sized to your metric volume, because the platform's value (and its cost) depends on how aggressively it aggregates your telemetry. This opacity is deliberate: the answer to how much it costs is genuinely a number Chronosphere will only put in writing in a quote.

The meter is persisted writes, measured in data points per second (DPPS). A persisted write is a data point Chronosphere actually stores after its Control Plane has shaped incoming telemetry. Per the documentation, the count is the sum of unaggregated raw data points written, aggregated data points written, and non-Prometheus rolled-up aggregated data points written. Crucially, you are not charged for raw ingest; you are charged for what lands in the database. Persisted cardinality, the count of unique time series stored over a 2.5-hour window, is the related capacity meter.

This is the inverse of per-host and raw per-GB models. In a Kubernetes environment most metric data points are low-value duplicates of high-cardinality labels, and a meter on ingest would bill all of it. By charging on persisted writes and shipping a Control Plane built to aggregate and roll up data before storage, Chronosphere makes central data shaping the primary cost lever. The trade-off is that this is an enterprise platform for large-scale, Prometheus-native teams: it is not positioned for small deployments. Confirm the model and obtain a sized quote from Chronosphere before relying on any estimate.

The facts

What is actually published

Drawn from Chronosphere's public site and licensing documentation, reviewed June 2026. No dollar figures are published; the model is.

Pricing model

Usage-based on persisted writes (DPPS)

Public price

Not published, contact sales only

Meter

Persisted data points, not raw ingest

Cardinality unit

Persisted cardinality over a 2.5-hour window

Positioning

Enterprise, cloud-native, high-scale Prometheus

Differentiator

Control Plane aggregates before storage

Source: docs.chronosphere.io licensing, reviewed June 2026.

Where it bites

Three Chronosphere cost traps

No aggregation rules configured

The Control Plane is the cost lever, but it does nothing until you write aggregation and rollup rules. A team that onboards without shaping persists every raw series and pays for all of it.

Unbounded per-team cardinality

Without metric quotas and pools, a single noisy namespace can balloon persisted cardinality and consume the shared budget. The platform supports per-team quotas precisely to prevent this.

Treating it as a small-team tool

Chronosphere has no free or self-serve tier and is priced for high-scale enterprise volume. Small deployments are the wrong fit and will not see the cost advantage the model is built to deliver.

Cost reduction levers

Three ways the model rewards you

Aggregate at the Control Plane

Define rollup and aggregation rules so high-cardinality raw series collapse into the aggregates teams actually query before they persist. Every series aggregated away cuts persisted writes directly.

Set quotas and pools per team

Allocate persisted-cardinality budgets per team so no namespace can run away with the shared meter. Quotas make cost ownership explicit.

Drop low-value series before storage

Identify metrics nobody dashboards or alerts on and stop persisting them. Because the meter is stored data, dropping noise is the most direct possible saving.

Verify before you buy

Chronosphere publishes no public price; the model (persisted writes, DPPS, charge-on-stored-not-ingested) is documented at docs.chronosphere.io, reviewed June 2026. Any dollar estimate must come from a sized sales quote against your actual persisted cardinality. Do not budget from a list rate, because there is not one.

Cross-references

/grafana-cloud-pricing

Grafana Cloud pricing breakdown

/datadog-pricing

Datadog pricing breakdown

/datadog-vs-prometheus-grafana

Datadog vs Prometheus + Grafana

/kubernetes-monitoring

Why Kubernetes multiplies the bill

/comparison

Six-vendor comparison

/calculator

Multi-vendor cost calculator

/open-source-vs-paid

Open source vs paid TCO

/reduce-monitoring-costs

Twelve cost-reduction strategies

/methodology

How we research pricing

Frequently asked

How much does Chronosphere cost?

Chronosphere does not publish public pricing; it is a contact-sales enterprise platform. Pricing is usage-based on persisted writes, measured in data points per second (DPPS), meaning you pay for the aggregated data Chronosphere actually stores rather than for everything your systems emit. Because real quotes depend heavily on how aggressively the Control Plane aggregates raw telemetry, the only reliable number comes from a sales conversation sized to your metric volume.

What are persisted writes in Chronosphere pricing?

A persisted write is a data point that Chronosphere actually stores in its database, after the Control Plane has aggregated and shaped incoming telemetry. The count is the sum of unaggregated raw data points written, aggregated data points written, and non-Prometheus rolled-up aggregated data points written. The crucial point is that Chronosphere charges on persisted writes, not on raw ingest, so dropping or aggregating noisy metrics before storage directly lowers the bill.

Why does Chronosphere charge on persisted data instead of ingest?

The model aligns the meter with stored value rather than raw firehose volume. In a Kubernetes-heavy environment most metric data points are redundant or low-value, and charging on ingest would penalise teams for cardinality they cannot easily control at the source. By charging on persisted writes and shipping a Control Plane that aggregates aggressively, Chronosphere lets teams cut cost by shaping data centrally. It is a deliberate contrast to per-host or raw per-GB models.

Is Chronosphere cheaper than Datadog for metrics?

For very high-cardinality Prometheus-native workloads, Chronosphere can be cheaper because its Control Plane aggregates data before storage, so you do not pay for every redundant time series the way custom-metric overages bill on Datadog. The catch is that Chronosphere is an enterprise, contact-sales platform aimed at large-scale teams; it is not positioned for small deployments and there is no free or self-serve tier. Compare on your actual persisted-cardinality, not on list rates, because there are none.

How can I reduce a Chronosphere bill?

Use the Control Plane, which is the entire point of the platform. Define aggregation rules and rollups so high-cardinality raw series collapse into the aggregates teams actually query before they are persisted. Set metric quotas and pools per team so no single namespace can balloon persisted cardinality unchecked. Because the meter is persisted writes, every series you aggregate away or drop at the Control Plane reduces the bill directly.