Log Management Software

Logz.io vs Sumo Logic

Compare Logz.io and Sumo Logic side-by-side. See feature differences and pricing in the Log Management Software category.

Logz.io

by Logz.io

No reviews yet

Pricing: Usage-metered, billed annually or at 1.2x monthly: logs $0.92 per GB a day, metrics $0.40 per 1000 time series a day, traces $0.16 per 1M spans a day, AI agents $10 per 1M tokens. 14-day trial.

Logz.io is a cloud log management and observability platform built on OpenSearch, Grafana and Jaeger, priced by daily usage for engineering teams.

14 /18 features Full profile

Sumo Logic

by Sumo Logic

No reviews yet

Pricing: Essentials is usage-based: $0 ingest and an estimated $3.14 per TB scanned (US region, 500 to 750 scans per GB), unlimited users. Enterprise Suite and Dojo AI by quote. 14-day trial.

Sumo Logic is a cloud-native log management, SIEM and observability platform for DevOps and SecOps teams, run as multi-tenant SaaS and priced by data scanned.

15 /18 features Full profile

Feature Comparison

Log Management Software features side-by-side

Feature	Logz.io 14/18 features	Sumo Logic 15/18 features
Log collection agents and forwarders Ships an agent, a syslog listener and cloud integrations that collect logs from hosts and services.	Yes	Yes
Full-text search with structured filters Searches raw text and filters on parsed fields with a query language or builder.	Yes	Yes
Automatic parsing of common log formats Parses JSON, syslog, web server and cloud provider logs into fields without custom rules.	Yes	No
Custom parsing pipelines with grok or regex Defines rules that extract fields from unstructured lines and remap them before indexing.	Yes	Yes
Live tail streaming Streams matching log lines in real time as they arrive so a deploy can be watched.	Yes	Yes
Log pattern clustering Groups similar messages into patterns so the unusual lines stand out from the bulk.	Yes	Yes
Alerts on log queries and thresholds Fires when a saved search matches, exceeds a count in a window or stops arriving.	Yes	Yes
Log-based metrics Turns a log query into a metric time series for dashboards and alerts without indexing every line.	Yes	Yes
Tiered retention with archive to object storage Moves older logs to S3-style storage at lower cost and restores them for a search when needed.	Yes	Yes
Exclusion filters that drop logs before indexing Discards or samples noisy logs at ingest so they are not indexed and billed.	Yes	Yes
Dashboards built from log queries Turns saved searches into charts and tables on a shared dashboard.	Yes	Yes
Access control scoped by log source Limits which users or teams can search which sources, indexes or fields.	Yes	Yes
Sensitive data masking at ingest Redacts card numbers, emails and other patterns before the log is stored.	Yes	Yes
Log forwarding to SIEM or data lake Sends a copy of selected logs to a security tool or a data lake in a chosen format.	No	Yes
Pivot from a log line to its trace Opens the distributed trace tied to a log line through a trace ID in the record.	Yes	Yes
Kubernetes log collection with pod metadata Collects container logs from a cluster and tags each line with pod, namespace and labels.	No	Yes
Self-hosted log server option Offers an edition that installs on your own servers so logs never leave your network.	No	No
Free tier with a daily ingest cap Offers a no-cost plan limited by gigabytes ingested per day and a short retention.	No	No
Overall Rating	No reviews yet	No reviews yet

Logz.io 14/18 features

Log collection agents and forwarders: Yes
Full-text search with structured filters: Yes
Automatic parsing of common log formats: Yes
Custom parsing pipelines with grok or regex: Yes
Live tail streaming: Yes
Log pattern clustering: Yes
Alerts on log queries and thresholds: Yes
Log-based metrics: Yes
Tiered retention with archive to object storage: Yes
Exclusion filters that drop logs before indexing: Yes
Dashboards built from log queries: Yes
Access control scoped by log source: Yes
Sensitive data masking at ingest: Yes
Log forwarding to SIEM or data lake: No
Pivot from a log line to its trace: Yes
Kubernetes log collection with pod metadata: No
Self-hosted log server option: No
Free tier with a daily ingest cap: No

No reviews yet

Sumo Logic 15/18 features

Log collection agents and forwarders: Yes
Full-text search with structured filters: Yes
Automatic parsing of common log formats: No
Custom parsing pipelines with grok or regex: Yes
Live tail streaming: Yes
Log pattern clustering: Yes
Alerts on log queries and thresholds: Yes
Log-based metrics: Yes
Tiered retention with archive to object storage: Yes
Exclusion filters that drop logs before indexing: Yes
Dashboards built from log queries: Yes
Access control scoped by log source: Yes
Sensitive data masking at ingest: Yes
Log forwarding to SIEM or data lake: Yes
Pivot from a log line to its trace: Yes
Kubernetes log collection with pod metadata: Yes
Self-hosted log server option: No
Free tier with a daily ingest cap: No

No reviews yet

Pricing

Logz.io

Usage-metered, billed annually or at 1.2x monthly: logs $0.92 per GB a day, metrics $0.40 per 1000 time series a day, traces $0.16 per 1M spans a day, AI agents $10 per 1M tokens. 14-day trial.

See all plans

Sumo Logic

Essentials is usage-based: $0 ingest and an estimated $3.14 per TB scanned (US region, 500 to 750 scans per GB), unlimited users. Enterprise Suite and Dojo AI by quote. 14-day trial.

See all plans

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