ClickStack vs Logstash

ClickStack is an open-source observability stack for OpenTelemetry that brings logs, metrics, traces, session replays, and errors into one system. Its HyperDX interface provides Lucene-style search, SQL access, dashboards, alerts, event deltas, and event patterns. A bundled OpenTelemetry Collector handles native collection, while non-OTel wide event data can be used when it has a timestamp field. ClickStack stores data in ClickHouse and is designed for high-cardinality telemetry, with the product site describing sub-second queries even on petabytes of data. It supports self-hosted, hybrid, and cloud deployment. Managed ClickStack runs on ClickHouse Cloud with operations, scaling, upgrades, backups, reliability, authentication, and user management included. The managed offer advertises indefinite retention and storage below one cent per GB. An MCP server connects observability workflows with coding tools, collaboration services, runbooks, and custom agents.

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.