Logz.io charges per GB of logs ingested and per time-series metric. Atatus gives you log management, APM, infrastructure monitoring, distributed tracing, and RUM - all at a flat per-host price. No per-GB surprises. No per-metric overages.
The core difference: Logz.io is a managed version of open-source tools (ELK + Grafana + Jaeger) with a per-GB/per-metric pricing model. You get the familiarity of Kibana and Grafana, but you still pay for every gigabyte you ship and every unique metric you send. Atatus is a purpose-built observability platform with a flat per-host pricing model — ship as many logs as you need, instrument as many metrics as you want, and trace every request without watching a meter tick. And Atatus includes APM, RUM, and uptime monitoring that Logz.io simply doesn't offer.
Your users experience your product in a browser. JavaScript errors, slow page loads, and Core Web Vitals failures happen before a single server log is written. Logz.io has no RUM, no session replay, and no frontend monitoring. Atatus covers the full stack.
Logz.io's App 360 correlates logs with metrics — but it's not a real APM. There's no method-level transaction breakdown, no N+1 query detection, and no trace waterfall showing you what happened inside your application after the request arrived. Atatus provides full APM with distributed tracing.
Logz.io bills Infrastructure Monitoring per unique time-series metric per day. As you add Kubernetes labels, containers, and custom metrics, cardinality explodes and so does your bill. Atatus includes unlimited custom metrics and infrastructure monitoring in the flat per-host price.
Atatus delivers the most value for engineering teams who want predictable log management costs alongside full-stack observability without the complexity of managing ELK-derived tools.
If slow Kibana searches are costing you time during incidents, Atatus delivers sub-2-second full-text log search across billions of entries — without Lucene syntax.
If you're filtering logs at the source or using Logz.io's Data Optimization Hub just to keep bills manageable, Atatus flat pricing means you can ship everything without a cost penalty.
If your team switches between Kibana, Grafana, and Jaeger during every incident, Atatus one-click log-to-trace correlation shows you what caused the error — no tool switching required.
If JavaScript errors and slow page loads are invisible in your current Logz.io setup, Atatus RUM adds browser monitoring, session replay, and Core Web Vitals — all correlated with your server logs.
If Kibana's query syntax limits log access to engineers who know Lucene, Atatus visual search and saved views means support teams, product managers, and junior engineers can all investigate without training.
If Kubernetes label cardinality is driving up your Logz.io Infrastructure Monitoring costs, Atatus includes Kubernetes monitoring with flat pricing — no matter how many nodes, pods, or labels you have.
Compared across Logz.io's actual product areas: Log Management, Infrastructure Monitoring, Distributed Tracing, Dashboards, and Support & Security.
Flat pricing. No per-GB ingestion or retention fees; ship as many logs as you need
Search 1 billion logs in under 2 seconds. Full-text, regex, and field-level filtering
Automatic JSON parsing extracts nested fields without writing Logstash pipelines or extraction rules
Log pipelines such as parse, enrich, filter, and route logs in real time to control data flow and signal quality
Log pattern detection groups recurring messages and surfaces anomalies automatically
One-click log-to-trace navigation, jump from any log entry to its full distributed trace
Live tail, saved views, log usage dashboard - full visibility into ingestion and cost trends
Per-GB pricing on ingestion AND retention, log volume spikes directly increase your monthly bill
OpenSearch-powered log search with strong performance at scale; Kibana/Explore UI for querying
Lucene / KQL syntax required for complex queries; engineers need query training for advanced use
Data Optimization Hub filters unused log data to reduce ingestion costs (30–50% savings possible)
Hot/Warm/Cold tiered storage for cost-efficient retention across different access frequencies
Log-to-trace correlation via Trace Quickview requires separate tracing subscription to be useful
Retention depth depends on plan tier; Cold Tier adds latency to older log searches
“With Logz.io we were constantly trimming what we shipped just to keep the bill manageable. The moment we had a bad deploy, log volume spiked and so did our invoice. Atatus changed that entirely — we ship everything, retain it for 90 days, and pay the same flat rate. The log-to-trace correlation alone saved us hours every week.”
Specific questions about log management and observability that come up when evaluating Atatus as a Logz.io alternative.
Atatus provides its own log search interface with full-text search, regex support, and field-level filtering, designed so engineers don't need to know Lucene or KQL for most use cases. If your team has power users who rely on Lucene for complex log analysis, Atatus visual filter builder and saved views cover the vast majority of everyday debugging patterns. For teams where Kibana expertise is deeply embedded, the transition is usually straightforward because the underlying concepts (field filtering, time range selection, log patterns) are the same, just without the syntax barrier.
Atatus uses flat per-host pricing, you pay based on the number of servers or containers you're running, not the volume of logs they produce. A host that generates 500MB of logs per day costs exactly the same as one that generates 50GB. This means deployments, incidents, and traffic spikes don't create billing surprises. For teams that have been using Logz.io's Data Optimization Hub to filter logs at the source just to manage costs, Atatus removes that constraint entirely. You can ship everything and retain what you need for the full 90 days without a cost penalty.
Logz.io's Trace Quickview shows a summary of trace data alongside log entries; it's useful context, but it's not full distributed tracing. You can see that a trace ID exists, but you can't walk through the full span waterfall, see which database query took 800ms, or identify the service that introduced latency. Atatus log-to-trace correlation is one-click from any log entry to a complete trace waterfall that shows every span, method, and database call in the request lifecycle. This is the difference between knowing an error happened and knowing exactly why, down to the specific line of code or SQL query.
If you're already instrumented with OpenTelemetry, migrating to Atatus is primarily a configuration change, point your OTLP exporter at Atatus endpoints instead of Logz.io. No code changes to your application are required. For log shipping, Atatus supports all major log shippers (Fluentd, Fluent Bit, Logstash, Vector, Filebeat) with simple configuration updates. Most teams complete the initial migration in a single day and run Atatus alongside Logz.io for a validation period before fully cutting over. We provide a free dedicated onboarding session to guide the transition.
Atatus includes 90-day retention across all signal types - logs, APM traces, infrastructure metrics, and RUM data on all paid plans at no additional cost. For teams that need longer metric retention for trend analysis or compliance, extended retention is available on Business and Enterprise plans. Logz.io's 18-month metric default is a genuine advantage for long-horizon infrastructure trend analysis. For most engineering teams focused on incident response and performance debugging, 90 days of correlated logs, traces, and metrics provides more than enough runway.
Yes. Atatus supports all major log shippers including Fluentd, Fluent Bit, Logstash, Vector, Filebeat, and the OpenTelemetry Collector. For application-level logging, Atatus agents are available for Node.js, Python, Java, Ruby, Go, .NET, and PHP. Database log sources including PostgreSQL, MySQL, MongoDB, Redis, and MariaDB are supported out of the box. Atatus also supports Kubernetes log collection via Helm chart deployment. The main difference from Logz.io's 300+ integrations is that Atatus focuses on the most commonly used sources rather than maximizing integration breadth.
Yes, and it also covers APM, RUM, uptime monitoring, and browser performance that Logz.io doesn't offer. Atatus is designed as a single-platform replacement for teams that are paying for Logz.io Log Management, Infrastructure Monitoring, and potentially a separate APM tool. The flat per-host pricing model means the total cost of consolidating all of these signals onto Atatus is typically lower than running just Logz.io Log Management and Infrastructure Monitoring separately, especially for log-heavy teams where Logz.io's per-GB billing adds up quickly.
Yes. Atatus offers a self-hosted on-premises deployment option for teams in regulated industries or those with strict data sovereignty requirements. Logz.io is cloud-only SaaS - there is no on-premises option. For teams in healthcare, financial services, or government sectors where data must remain within a specific jurisdiction or private network, Atatus on-premises deployment provides full observability capabilities without sending data to a third-party cloud. Contact us to discuss your deployment requirements and compliance needs.
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