HyperDX is an open-source observability platform that puts session replays, logs, traces, metrics, and errors on one timeline. It serves small product engineering teams that debug user-facing issues across frontend and backend and want Datadog-style correlation without per-seat billing.[1]
Quick verdict
Small product engineering teams that debug user-facing issues across frontend and backend will get the most from HyperDX. Its session replay arrives already linked to the logs, traces, and errors behind each session, so a support report turns into backend context on one timeline. Teams that need SSO on a self-hosted install, documented regional data controls, or a vendor untouched by acquisition will find sharper answers elsewhere. If usage-based pricing and OpenTelemetry-native ingestion fit your stack, start with HyperDX Cloud or the MIT-licensed self-hosted build; otherwise compare Highlight for replay depth or a dashboards-first tool first.[1][2][3]
Capabilities
Session replay linked to backend telemetry Replays connect automatically with the logs and traces from the same session, so debugging starts from what the user actually saw.[1]
Full-text search without query-language overhead Logs and spans are searchable with plain text, which keeps ad-hoc incident lookup approachable for the whole team.[1][2]
OpenTelemetry-native ingestion Vendor-neutral OpenTelemetry carries logs and traces in, with SDKs across eleven languages and frameworks including Node.js, Python, Go, Java, Elixir, and React Native.[1]
ClickHouse-backed speed Storage and search run on ClickHouse with object storage, the cost basis behind the usage-based cloud pricing.[1][2]
Automatic event-pattern clustering Billions of events condense into distinctive log patterns, which helps separate a new failure mode from background noise.[1]
Chart builder and dashboards Logs, metrics, and traces graph and share through a point-and-click builder, for example errors grouped by customer ID.[1]
Alerts, PagerDuty, and an HTTP API Alerts fire on event data, PagerDuty receives pages, and an API manages alerts and dashboards and queries chart data programmatically.[1]
LLM observability hooks Integrations with Mirascope, OpenLIT, and OpenLLMetry bring model-call telemetry into the same debugging surface.[1]
Who will love it
Replay plus backend context in one place shortens the path from a support ticket to a root cause.[1][2]
Vendor-neutral ingestion across SDKs, collectors, and major deploy platforms avoids agent lock-in.[1]
Usage-based cloud pricing with unlimited users, or the MIT self-hosted build, keeps the bill tied to data volume.[1][2]
Who should avoid it
SSO is cloud-only and SAML is Enterprise-only, so the open-source build cannot satisfy that control.[1]
No SOC 2 or regional story was verified in the inspected sources, so regulated buyers must confirm before committing.[1][2][3]
The March 2025 ClickHouse acquisition ties the roadmap to ClickHouse; buyers wary of that direction should weigh alternatives first.[1]
Monitoring scope
The self-hostable MIT build includes logs, metrics, traces, dashboards, session replay, JSON auto-parsing, live tail, and event patterns; SSO and SAML are cloud and Enterprise-only.[1]
Instrumentation is OpenTelemetry-native across eleven SDKs plus Docker, Kubernetes, AWS, Vercel, Fly.io, Heroku, and Cloudflare paths; the March 2025 acquisition post says Cloud continues and the OSS project stays maintained.[1][2]
Questions worth asking
What is the best HyperDX alternative for non-technical users?
Is HyperDX really no-code?
No. Setup means installing an SDK or collector and instrumenting with OpenTelemetry, which is developer work. Day-to-day search, chart building, and dashboards are point-and-click, but there is no path that skips engineering.[1]
How much does HyperDX cost per month?
As checked October 11, 2026, Cloud offers Free at $0 (3 GB per month, 3-day retention, one user) and Starter at $20 per month (50 GB per month, 30-day retention, unlimited users, then $0.40 per extra GB and $0.40 per 100 metric data points per minute). Enterprise is custom pricing with custom retention, SAML SSO, and volume discounts. Self-hosting the MIT build costs whatever infrastructure you run it on.[1]
Sources and editorial review
Source research. Reviewed on October 11, 2026. Written by Sanjib Sah. AI assisted; reviewed by a human editor.
We have not run or tested this product.
- HyperDX homepage
official · Observed October 11, 2026
Official homepage: unified replay/logs/traces/metrics/errors scope, Datadog-price-tag positioning, ClickHouse backing, OTel ingestion, acquisition banner.
- HyperDX pricing
official · Observed October 11, 2026
Official pricing tiers, overages, metric DPM definition, Datadog $192 comparison example.
- HyperDX docs: getting started
official · Observed October 11, 2026
Docs: correlation scope, SDK/platform/collector/LLM lists, SSO, PagerDuty, source maps, HTTP API.
- HyperDX OSS vs Cloud
official · Observed October 11, 2026
OSS-vs-cloud feature table and GitLab-style stewardship note; SSO/SAML restriction.
- HyperDX LICENSE
official · Observed October 11, 2026
MIT grant text, copyright 2023 DeploySentinel, Inc.
- hyperdxio/hyperdx repository
official · Observed October 11, 2026
Repository identity hyperdxio/hyperdx and unified-scope tagline.
- ClickHouse acquires HyperDX (official blog)
official · Observed October 11, 2026 · Published March 6, 2025
Firsthand acquisition announcement: Cloud continues, OSS maintained, v2 beta.