
The best part about Coralogix is the variety of query mechanisms, making it a powerful tool for frequent log analysis and monitoring. Their real-time support team is responsive, and while it may take some time to get a solution, they do come through with a fix. The range of REST APIs is also impressive, allowing for flexible integrations across different use cases.
In terms of ease of use, once you get familiar with the platform, it becomes a reliable solution for real-time log processing. However, navigating the tiered structure and finding the right configurations can feel like a puzzle at times. For frequent users, Coralogix proves to be an efficient platform, provided you’re willing to spend time understanding its query mechanisms and available features. Review collected by and hosted on G2.com.
The biggest drawback of Coralogix is its limited documentation, which makes implementation more challenging. Important details, such as field descriptions and allowed values, are often missing or unclear, requiring constant reliance on chat support for even minor queries. Additionally, some REST APIs lack pagination, making data retrieval inefficient and difficult to manage at scale. One major issue with the DataPrime Query API is that if the response contains 300 logs, it returns three separate JSON arrays instead of a single JSON object. This causes problems in automation, as many scripts or tools may only process the first JSON array, ignoring the rest. A properly structured JSON object would significantly improve integration and ease of use. Review collected by and hosted on G2.com.
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