Coralogix Reviews & Product Details

Integration is very simple, concept of application and sub-system to group logs and single query panel to search all types of logs is best. Support is very active and quick, they are available anytime and help to resolve your queries ASAP. Review collected by and hosted on G2.com.

Migration of existing Grafana dashboards to custom dashboard is not supported. As Open Telemetry is the source of all custom dashboards and if someone wants to bring all monitoring needs to one single platform, there is no support to add external datasource, which restricts us to see Coralogix as a single platform for all monitoring, alerting needs. Review collected by and hosted on G2.com.

What I like most is the reliability of the streaming data pipeline. Getting real-time alerts without latency issues helps us catch production bugs immediately. The interface makes it incredibly simple to correlate logs with tracing data during active incidents. Review collected by and hosted on G2.com.

I sometimes experience slow performance and delayed log fetching when working with large volumes of data, and the main logs UI can feel cluttered. Review collected by and hosted on G2.com.

I like that Coralogix keeps advancing and stays up to date with current technologies. The recently released CLI was a great improvement, and using Coralogix through AI agents on my computer with the CLI works very well. I get a good experience both in the UI and with AI agents. Coralogix gives us a stable backend to store telemetry, visualization, and a platform to query what we need and set alerts. I use the logs visually to read messages, and I think the quota management is very good. The initial setup was great, and the support team helped a lot. Zoya, Roy Manor, and previously Mark Sunis were always amazing with their responsiveness and help with everything we needed. Review collected by and hosted on G2.com.

I think the metrics retention and tiering are an issue right now. Costs can spike because of metrics, and there’s very little I can do about it. Adding adaptive metrics and adaptive traces would be a nice improvement. Review collected by and hosted on G2.com.

TCO Optimizer & In-Stream Analysis: Coralogix analyzes logs, metrics, and traces in the stream before indexing. We can route routine compliance data straight to an S3/GCS archive and only index high-priority data, which cut our observability bill significantly.

Archive Querying (CX-Data): Even for logs sent directly to cold storage, Coralogix allows fast querying directly from our cloud bucket without needing to re-index the data.

Unmatched In-App Support: The 24/7 in-app chat with real engineers typically responds in under 60–90 seconds. You don't have to navigate a tiered ticketing system or wait 48 hours for an answer.

Seamless OpenTelemetry Integration: Modern, vendor-agnostic ingestion that fits cleanly into existing cloud-native pipelines without vendor lock-in. Review collected by and hosted on G2.com.

The setup and configuration process has a fairly steep learning curve. The UI can feel dense and overwhelming for newcomers, especially when navigating between multiple dashboards and setting up advanced alert rules. Additionally, taking full advantage of the cost savings requires ongoing governance to make sure data is mapped to the correct pipeline tiers, rather than a set-it-and-forget-it experience. Review collected by and hosted on G2.com.

I like that Coralogix brings different data sources into one dashboard for both infrastructure and application teams. The support team is always there to help with issues. I find the tracing and spans pages useful for troubleshooting exactly where issues are in our system. Real user monitoring is quite helpful, and the logs area is clear, easy, and intuitive; everyone on my team knows how to use it. The Checkly integration works well. Review collected by and hosted on G2.com.

Real user monitoring is a bit laggy. The OpsGenie integration is really bad, and the experience and range of functions I can implement are quite limited. The initial setup took us a lot of time, especially implementing logs and tracing with OpenTelemetry on ECS. The integration was a nightmare, and I don't think Coralogix fits ECS. Review collected by and hosted on G2.com.

The MCP integration and DataPrime are really useful. I can query logs, metrics, alerts, and dashboards directly from Claude Code. It’s nice having one platform that brings together logs, metrics (PromQL), alerts, and dashboards in a single place. We also manage dashboards and alerts as code using Terraform, which fits well with our workflow. Review collected by and hosted on G2.com.

Terraform: The plan step needs admin rights. The provider also sometimes reports an “inconsistent result” error even when the change actually worked.

Metrics from AWS: A new CloudWatch namespace has to be added to an allow-list first. Also, tag changes can take up to ~1 hour before they show up as labels.

Queries: Some PromQL behaviors are surprising, such as increase(), percentile values being returned as a fraction, and max_by. In addition, some metrics only allow one dimension set per query and don’t offer percentiles.

Custom attributes: The OTel collector mapping drops custom resource attributes. Review collected by and hosted on G2.com.

One platform, dataprime, events2metrics, central ingestion processing, TCO controls, integrated alert lifecycle, less datasource plumbing, good operational integrations and terraform support Review collected by and hosted on G2.com.

we've encountered limitations on terraform provider, having to upgrade several times, also some errors only show when you actually apply the changes. ingestion limit warning everyday and sometimes stopping ingestion on production data causing us losing metrics needed to deploy canaries. TCO tiers hide data, sometimes your query returns nothing because the data is not on that tier. generic lack of terraform export for all resources. very basic anomaly alerts only compare with daily pattern, not week over week which is more useful. parsing rules cannot be scoped precisely: matchers are allowed lists. Dashboard configuration is brittle. A multi-select variable arrives as text rather than a number, some chart fields are silently dropped, and a table column cannot follow the percentile filter. Review collected by and hosted on G2.com.

The UI is very intuitive and easy to use. Coralogix is our central logging system, and it helps us quickly filter and search through logs across multiple microservices. It handles large volumes of logs well and makes it easy to narrow down what we need.

The MCP server provided by Coralogix is what makes it especially useful for us. We use it in day-to-day debugging with our AI tools, and with the MCP server it integrates smoothly into our AI workloads. Support has also been great; they’re always ready to help and respond quickly.

That said, they still need to enhance their AI offerings. It would be nice if it could detect certain issues just from logs across services. Review collected by and hosted on G2.com.

The archive log tier is slow. Maybe it is how it supposed to be but not sure. Also sometime the UI is laggy. Overall the product is good. Review collected by and hosted on G2.com.

Coralogix as a overall tool is good tool to on-board as it provides a single platform to have logs, metrics & traces for all of your application.The UI is much user-friendly and easy to navigate through functionalities.The intergration to Coralogix is also quite simple either through simple UI steps or using OpenTelemetry.

Overall, the performance of tools is great as it provides support for any issues and also release new features on regular basis.

Its Olly AI feature is also quite good as it get trained on the data set you have so it replies based on that.

Pricing per unit seems to be ok & also they have a feature of pay-as-you-go which gives enough buffer you run out of credits/units. Review collected by and hosted on G2.com.

Coralogix, as a tool overall, is very useful. I don’t see many issues with it; however, it would be even better with certain integrations—for example, being able to use AI with different LLMs instead of relying on just one.

Also, they don’t have their own agent that can be used with AWS services or Kubernetes services, which could be helpful during integration. Review collected by and hosted on G2.com.

I like the ease of providing raw logs from a variety of sources to Coralogix, such as using OTEL log capture or API logging endpoints. This flexibility helps us aggregate logs from diverse systems for better monitoring. Creating dashboards is really easy too, which speeds up getting the job done and gives quick feedback for our processes. Coralogix alerting is also simple and effective, making it an essential feature for us. Review collected by and hosted on G2.com.

I find the new log viewer really challenging compared to the classic one. It's essential for identifying new signals, and I end up using the classic version more often. There's also the issue with the base language differences between Lucene and Dataprime, which complicates modeling dashboards and alerting. It’s frustrating because a query that works in log viewing doesn’t necessarily translate to dashboards or alerts. Additionally, the filter options don’t narrow down based on existing filters, which makes it hard to use, especially because I'd expect to see only relevant attributes when applying filters. It would be hugely beneficial if the lookup list filtered attributes based on previous filters. Lastly, the new alerting and event management have potential, but there's not enough guidance on how to use them effectively. Review collected by and hosted on G2.com.