High-Performance Log Analytics
Built on Columnar Database

Ingest logs from anywhere, quickly search and analyze with a powerful query
builder backed by ClickHouse, and correlate your logs with other signals.

Log management hero

Advanced Query Builder

Build ClickHouse queries visually with auto-complete for log attributes.

Transparent Pricing

Starts at $0.30 per GB with no user seat limitations or hidden retention fees.

Smart Tiered Storage

Configure hot retention periods to balance query performance with storage costs for compliance.

Ingest logs from anywhere

OTel-native architecture supports extensive data source integration through multiple collection patterns, eliminating vendor lock-in while providing superior correlation capabilities.

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CLOUD

AWS
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CONTAINERS

Docker
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POPULAR TOOLS

Heroku
Fluentd
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Parse and transform logs before storage

Create processing pipelines through a visual UI to parse unstructured logs, extract attributes, flatten nested JSON, and mask sensitive data. Apply processors like Grok patterns, regex, and JSON parsers to transform logs before they're stored and indexed.

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Log Processing

Automatic correlation between logs, metrics, and traces

Use OpenTelemetry semantic conventions to automatically link logs with traces and metrics. Jump from APM traces to their related logs, from infrastructure metrics to log context, and from alerts to root cause with consistent trace ID correlation.

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Logs → Metrics

Jump from logs to relevant service metrics.

Logs → Traces

Find traces using trace IDs in logs.

APM → Logs

Go from APM metrics to related logs.

Logs → Metrics
Logs → Traces
APM → Logs

Build ClickHouse queries visually with auto-complete for log attributes

Run aggregations grouped by multiple dimensions, filter with regex and LIKE patterns, query nested JSON with dot notation, and work directly with the generated SQL. Create dashboards directly from query results or export to CSV for analysis.

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Query Builder

Visual Query Builder

Build complex filters with AND/OR logic using auto-complete for attributes and values. Supports operators like CONTAINS, REGEX, IN, and LIKE with real-time suggestions from your actual log data.

Aggregations & Grouping

Run COUNT, SUM, AVG, P50/P95/P99 across billions of logs. Group by multiple dimensions simultaneously and filter results with HAVING clauses for advanced analysis.

JSON & Dashboard Creation

Query nested JSON fields using dot notation like `attributes.user.id`. Create dashboard panels directly from query results or export to CSV for external analysis.

Configure hot and cold storage

Set retention from 15-180 days in hot storage for fast queries. Older logs move to cold storage where they remain queryable at 3x slower speeds for compliance needs.

50%

Storage Savings

2 years

Configurable Retention
HOT STORAGE PERIOD
PERIOD IN COLD STORAGE AFTER HOT STORAGE
0 days
90 days
180 days
1 year
2 years
15 days$ / GB
0.30.450.60.91.3
30 days$ / GB
0.40.550.711.4
90 days$ / GB
0.60.750.91.21.6
180 days$ / GB
0.80.951.11.41.8

Simple
usage-based
pricing

Pricing you can trust

Tired of Datadog's unpredictable bills or New Relic's user-based pricing?
We're here for you.

Logs IconLogs$0.3 / GB
ESTIMATED USAGE
0 GB
SUBTOTAL
$0
RETENTION
SCALE OF INGESTION
0 GB
500TB
Monthly estimate for usage-based plan
$49
Calculate your exact monthly billCheck Pricing

Developers
Love
SigNoz

Cloud

Fully managed, SOC 2-compliant, ideal for teams who want to start quickly without managing infrastructure.

Self-Host

For tighter security & data residency requirements. It is Apache 2.0 open source, built on open standards.

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10 million+

OSS Downloads

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23k+

GitHub Stars

ShapedEvery single time we have an issue, SigNoz is always the first place to check. It was super straightforward to migrate - just updating the exporter configuration, basically three lines of code.Karl Lyons
Senior SRE, Shaped
Charlie Shen

Charlie Shen

Lead DevOps Engineer, Brainfish

I've studied more than 10 observability tools in the market. We eventually landed on SigNoz, which says a lot. Compared to Elastic Cloud, it's a breeze with SigNoz.

Niranjan Ravichandra

Niranjan Ravichandra

Co-founder & CTO, Cedana

Getting started with SigNoz was incredibly easy. We were able to set up the OpenTelemetry collector quickly and start monitoring our systems almost immediately.

Poonkuyilan V

Poonkuyilan V

IT Infrastructure Lead, The Hindu

Recently, we configured alerts for pod restarts and were able to quickly identify and resolve the root cause before it escalated. Additionally, SigNoz's tracing capabilities helped us spot unwanted calls to third-party systems, allowing us to optimize our applications.

Avneesh Kumar

Avneesh Kumar

VP of Engineering, Mailmodo

We have started saving almost six hours on a daily basis, which we can now invest in other tech debts and backlogs. The best thing about SigNoz is that it's open source. I can go into the source code and look at what's happening. That's a great confidence booster for long-term usage.

Khushhal Reddy

Khushhal Reddy

Senior Backend Engineer, Kiwi

SigNoz is something we use daily. If I have ten tabs open, six of them are SigNoz. We used traces and it helped us take 30 seconds down to 3 seconds.