Coralogix review

Coralogix is an observability platform for collecting and investigating telemetry, including logs, traces and metrics. It stores telemetry in your cloud in open formats, rather than requiring all data to live in a vendor-managed store. The homepage also describes its design as index-free and says it stores the full record.

For investigations, Olly lets users ask questions in natural language, ask follow-ups and explore related incidents. Teams can also use Coralogix through an MCP connector or command-line interface: the connector surfaces insights in tools such as Slack, PagerDuty or an IDE, while the CLI can script investigations and send results to runbooks or CI/CD workflows.

The platform is built to correlate events across signals, whether teams are exploring live data or data in storage. That makes it more than a log search product, though the practical fit will depend on your telemetry mix, usage and how you want to investigate it.

The clearest pitch is a combination of customer-cloud storage and open formats. The pricing page lists infinite retention and storage in your bucket for logs and traces, and infinite retention for metrics. That can suit teams that want to retain telemetry without making the vendor’s storage the only home for it. The homepage says the platform stores the full record without indexing.

Coralogix also offers several ways into investigations. Olly supports natural-language questions and follow-ups; the MCP connector can bring insights into Slack, PagerDuty or an IDE; and the CLI can script investigations for runbooks or CI/CD. Cross-signal exploration is another useful part of the offer: teams can correlate events across signals, live or from storage.

The listed usage rates are concrete enough to start a forecast: logs cost $0.42 per GB, traces $0.16 per GB and metrics $0.06 per GB. The pricing page says sources and users are unlimited for logs and traces. AI evaluation is listed at $1.50 per million tokens. Reddit discussions offer little direct evidence about Coralogix’s day-to-day strengths, so we would treat the product and pricing claims as a reason to evaluate, not proof of fit.

The main drawback is that there is no simple subscription price to compare. Coralogix bills by usage: data units are counted daily, while AI tokens are measured monthly. The listed per-GB rates help, but your bill depends on ingestion and retention-related storage costs, so forecast typical and peak usage before switching.

There are also limits to what the headline rates tell you. Metrics are priced at $0.06 per GB, with 1 GB defined as 750 active time series. The pricing page lists S3 storage at an effective $0.003 per GB for logs and traces and $0.000033 per GB for metrics. Pay-As-You-Go can allow ingestion up to twice the daily plan quota, but its rate is not published. That leaves an important overage cost unclear.

There is no free plan, although the pricing page lists a 14-day trial. Reddit threads published here provide little product-specific feedback: the discussions mainly compare other observability tools or ask about Coralogix. We would not treat them as enough evidence to settle questions about implementation effort or the quality of investigations.

Coralogix has no published fixed monthly price: billing is usage-based, with units counted daily and AI tokens monthly. The pricing page lists Logs at $0.42 per GB, Traces at $0.16 per GB, and Metrics at $0.06 per GB; it defines 1 GB of metrics as 750 active time series. AI costs $1.50 per 1 million tokens. These are different rates by signal, not monthly plan tiers, so your bill depends on what you send and use. The listed plans include infinite retention; Logs and Traces also specify storage in your bucket and unlimited sources and users. S3 storage is an add-on, with an effective cost of $0.003 per GB for logs and traces and $0.000033 per GB for metrics. Pay-As-You-Go may allow ingestion up to twice the daily plan quota, but its rate is not published. There is a 14-day free trial, but no free plan. Forecast signal volume and storage costs before switching; a fixed-price budget is not possible from the published rates alone.

Switching in means planning how to route your telemetry and checking that your existing investigations still work across the signals you use. Before moving production data, inventory those signals and estimate daily ingestion: Coralogix bills usage daily, and Pay-As-You-Go’s rate is not published. You may also need to adapt workflows around Olly, the MCP connector, or the CLI if you want to use its conversational, agent, or scripted investigation features. The published material does not specify migration tools or migration services, so confirm those details with Coralogix before setting a timeline.

Coralogix says telemetry is stored in your cloud in open formats, and its homepage describes full-record, index-free storage. That may reduce storage-format lock-in, but export tooling and exit fees are not published in the material we have. We also can’t say what tends to make customers leave: no Reddit posts or comments were provided to support that claim. Ask about data retrieval and workflow portability before committing.