The OpenTelemetry-native Coralogix alternative.

Coralogix prices in units: one unit is $1.50 worth of logs, metrics and traces, bought as a daily quota that renews each day, invoiced annually in advance, and unused units expire at the end of the term. What a gigabyte costs depends on the priority tier you route it to. Coralogix prices logs at $1.15 per GB in the Frequent Search tier and $0.50 per GB in the Monitoring tier, the Compliance tier is about $0.18 per GB, and even blocked logs carry a reduced charge. Traces follow the same tiers, from about $0.75 down to $0.15 per GB, and metrics are priced per GB, where Coralogix counts 1 GB as 750 active time series. Session replay, AI Center evaluations and Olly, the AI agent, which is metered per user in a separate pool of AI units, come on top. Data above the daily quota is blocked until midnight UTC unless pay-as-you-go is switched on, which costs 25% more. Users, hosts, support and enterprise features such as SSO and RBAC are included in every plan. The minimum plan size is not published. List prices checked October 2026. For your own numbers, book a Coralogix bill teardown.

Often, but not always and not by a fixed percentage, so we do not print one. Coralogix can price a large account flat and low. The difference is structural: Dash0 has no priority tiers, no daily quota and no annual prepayment. Everything you send is indexed at one rate, a tenth of it at ingest and the rest at indexing, so spam filters cut the bill instead of moving data into a tier you cannot alert on. What changes most is what you can use. On Coralogix, teams route data to the cheaper tiers to stay inside the quota and lose fast search, alerts and dashboards on it. On Dash0 every signal gets the same treatment at the same price. The reliable answer comes from your real volumes: book a call and bring your Coralogix usage, or run both side by side for 14 days.

Yes, well. Coralogix ingests OTLP directly, with no proprietary agent, and ships a Collector Helm chart, a Kubernetes operator and eBPF instrumentation. The differences start after ingest: Coralogix requires its own application and subsystem attributes to organise your data, limits the labels on a metric, recommends aligning span attributes with its own conventions, and keeps logs in search indexes and archive files rather than as OpenTelemetry data. Dash0 is OpenTelemetry end to end: resources, semantic conventions and every attribute stay exactly as your Collector sent them, and switching is a second exporter in your Collector config.

Partly. Dashboards you run in Grafana, hosted by Coralogix or your own, import into Dash0 as Perses dashboards. Native Coralogix dashboards and DataPrime queries have no import path. Prometheus-format alert rules import unchanged as check rules, and Agent0 drafts check rules and dashboards from a description, validated against your live telemetry. Most teams rebuild the handful of views they actually use during the parallel run, and Agent0 scans the environment continuously for what no dashboard covers.

Coralogix and Dash0 both bill on data rather than hosts and both ingest OpenTelemetry without a proprietary agent. Datadog bills per host, per custom metric and per indexed log, and its deepest APM needs the Datadog Agent. Between the two data-priced platforms the difference is tiers: Coralogix asks you to route each dataset into a priority tier with its own price and its own limits, while Dash0 indexes everything at one rate and lets you cut volume before indexing. If you are leaving Datadog and weighing Coralogix against Dash0, start with the row on what you can search, then run both for 14 days on live traffic. The full table is on our Datadog comparison.