HyperDX vs Logstash

HyperDX is a cloud-based production monitoring and debugging tool that brings logs, metrics, traces, and user sessions together. It is an open-source observability platform powered by ClickHouse and OpenTelemetry, with cloud and self-hosted deployment options across web, Linux, API, and self-hosted environments. Full-text search works across events without complex query syntax. Users can create visualizations and alerts, while notifications can go to Slack, email, or PagerDuty. Session replays link automatically with backend logs and traces, and recurring log patterns are grouped into clusters. Documented SDKs cover Elixir, Go, Java, browser JavaScript, Nest.js, Next.js, Node.js, Python, React Native, and Ruby on Rails. The Free plan costs nothing and includes 3 GB monthly, 3-day retention, and one user. Starter costs $20 a month with 50 GB, 30-day retention, and unlimited users. Enterprise has custom pricing. Billing adds charges above 50 GB monthly and for metrics usage.

Logstash is an open-source, server-side pipeline that collects data from many sources, transforms events, and sends results to destinations. It can continuously ingest logs, metrics, web application data, data-store information, and AWS service data. Filters parse events, identify fields, and transform content with features such as grok parsing, IP geolocation, and anonymizing or excluding sensitive fields. Data can go to multiple outputs, including Elasticsearch. Its plugin framework includes more than 200 input, filter, and output plugins, and custom plugins can be built with an API and generator. Persistent queues provide at-least-once delivery for in-flight events after node failures; dead letter queues retain events for inspection and replay. Monitoring tools show pipeline performance and availability. Logstash supports log pipelines, archive export, live tailing, and structured parsing. It is self-hosted, with Linux packages and Docker listed. The free plan is free under the Elastic License.