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Hyperdx vs Logz.io: Pricing and Ratings Compared (2026)

Entry prices and free plans as read on each vendor's pricing page, and user ratings as published on review sites, for Hyperdx and Logz.io side by side. This page compares data; it is not a hands-on review.

On the data: On the data below, Hyperdx leads on lower entry price. We do not name an overall winner for this pair.

Data comparison compiled by Toolradar, not hand-reviewed Methodology
Data comparison 171 user reviews compared Pricing checked Oct 25, 2026

Short on time? Here's the quick answer

Based on published vendor pricing and features and on public review data, here's who should pick what:

Hyperdx

Affordable full-stack production debugging & monitoring with unified observability.

Best for you if:

  • • You want significantly more affordable than competitors like Datadog and New Relic

Logz.io

Cloud observability platform on Elastic

Best for you if:

  • • You want ELK-based observability
At a glance: Hyperdx vs Logz.io
At a Glance
Hyperdx Hyperdx
Logz.io Logz.io
Starts at
Free plan, paid from $20/mo, billed monthly Starter plan
Free plan, paid from $89/mo, billed monthly Pro plan
Category
Monitoring Log Management
Monitoring Data Visualization
Rating
n/a 4.5/5 G2 4.5 171 reviews
Free plan
Yes Yes
Watch out for
Overage fees for data beyond 50 GB at $0.40/GB Overage fees for exceeding data limits

Choose Hyperdx or Logz.io?

Hyperdx

Choose Hyperdx if

  • You want significantly more affordable than competitors like Datadog and New Relic
  • You want open-source nature provides transparency and flexibility
  • Budget matters ($20/mo, billed monthly vs $89/mo, billed monthly)
Logz.io

Choose Logz.io if

  • You want ELK-based observability
  • You want good log management

In-Depth Analysis

Hyperdx Hyperdx

Affordable full-stack production debugging & monitoring with unified observability.

Good value

Hyperdx offers a generous Free tier for basic monitoring, but the Starter tier at $20/month for 50 GB is quite competitive for small to medium-sized teams needing more data retention.

Watch out

Overage fees for data beyond 50 GB at $0.40/GB

Strengths

  • Pro: Significantly more affordable than competitors like Datadog and New Relic.
  • Pro: Open-source nature provides transparency and flexibility.
  • Pro: Unifies all observability data (logs, traces, metrics, session replays) in one platform.
  • Pro: Fast search and analysis of large data volumes.
  • Pro: Vendor-agnostic instrumentation via OpenTelemetry prevents lock-in.

Weaknesses

  • Con: Requires some setup for self-hosting the open-source version.
  • Con: Newer entrant compared to established observability solutions, potentially fewer integrations (though OpenTelemetry helps).

Key features

Unified Session Replays, Logs, Traces, Metrics, and Errors End-to-End Correlation (browser/mobile to backend) Blazing Fast Performance (ClickHouse-powered) Intuitive Search Syntax Automatically Clustered Event Patterns Correlated Session Replays with Backend Data

Logz.io Logz.io

Cloud observability platform on Elastic

Good value

Logz.io's pricing starts generously with a free Community tier offering 1GB/day, which is excellent for small projects or evaluation.

Watch out

Overage fees for exceeding data limits

Strengths

  • Pro: ELK-based observability
  • Pro: Good log management
  • Pro: Managed service
  • Pro: Good support
  • Pro: Fair pricing

Weaknesses

  • Con: Can get expensive
  • Con: Learning curve
  • Con: Query complexity
  • Con: Limited retention cheaper
  • Con: Better alternatives exist

Key features

Observability ELK-based SIEM Metrics Tracing Cloud native

Plans and prices: Hyperdx vs Logz.io

Plans and prices of Hyperdx and Logz.io, as read on each vendor's pricing page. Each plan keeps its own billing unit.
Tool Plans and prices Source
Hyperdx
  • Free: Free
  • Starter: $20/mo, billed monthly
  • Enterprise: Custom pricing
hyperdx.io/pricing read Oct 25, 2026
Logz.io
  • Community: Free
  • Pro: $89/mo, billed monthly
logz.io/pricing read Oct 13, 2026

Prices as read on each vendor's own pricing page on the date shown. Plans are listed per tool and are not matched against the other tool's plans: a plan name or price in one column says nothing about the same row in the other. Details on Hyperdx pricing and Logz.io pricing.

Key Takeaways

Hyperdx

  • Lower entry price: $20/mo, billed monthly vs $89/mo, billed monthly

Logz.io

  • Choose if you want cloud observability platform on Elastic

What the data shows

On the data below, Hyperdx leads on lower entry price. We do not name an overall winner for this pair.

  • Only Logz.io has a published user rating (4.5/5 from 171 reviews); Hyperdx has none we can show.
  • Hyperdx has the lower entry price: $20/mo, billed monthly (Starter) against $89/mo, billed monthly (Pro) for Logz.io.
  • Both have a free plan.

Criteria: user rating (only above 20 reviews on both sides, gap of 0.2 or more), entry price (only on the same billing basis), free plan. How we rate

Frequently Asked Questions

How do Hyperdx and Logz.io compare in 2026?

On the data below, Hyperdx leads on lower entry price. We do not name an overall winner for this pair. Only Logz.io has a published user rating (4.5/5 from 171 reviews); Hyperdx has none we can show. Hyperdx has the lower entry price: $20/mo, billed monthly (Starter) against $89/mo, billed monthly (Pro) for Logz.io. Both have a free plan.

What are Hyperdx and Logz.io used for?

Hyperdx: Affordable full-stack production debugging & monitoring with unified observability. Logz.io: Cloud observability platform on Elastic.

What does Hyperdx cost vs Logz.io?

Hyperdx's cheapest paid plan is Starter at $20/mo, billed monthly; it also has a free plan. Logz.io's cheapest paid plan is Pro at $89/mo, billed monthly; it also has a free plan. Prices read on the vendors' pricing pages, latest check Oct 25, 2026.

What's the main difference between Hyperdx and Logz.io?

Hyperdx's main strength: significantly more affordable than competitors like Datadog and New Relic. Logz.io's main strength: ELK-based observability.

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