Compare pganalyze to DatadogYou can download this comparison as a PDF and share it with your team | Datadog | pganalyze |
---|---|---|
Top-Level Query Metrics | For Top 200 Queries | For All Queries (Unlimited) |
Drill Into Per-Query Metrics | ||
EXPLAIN Plans | Only based on pg_stat_activity (sampling) | Log-based, captures all slow statements through log-based EXPLAIN or auto_explain |
EXPLAIN Plans for extended query protocol | Requires using constant values directly in queries (simple query protocol) | Supports query parameters sent separately, e.g. $1, $2 (extended query protocol) |
EXPLAIN Plans for long query texts | Only queries up to 4096 characters | No limit on query text length |
EXPLAIN Insights (“Why is this query slow?”) | ||
Automatic EXPLAIN ANALYZE through auto_explain | Optionally available | |
Index Recommendations | With pganalyze Index Advisor | |
VACUUM Recommendations | With pganalyze VACUUM Advisor | |
Overall System Metrics | ||
Integration with APM tools / Tracing | Through Query Tags | |
Integration with Third-Party Dashboards | No (only Datadog Infrastructure Monitoring) | Yes (through API) |
Active Session History | ||
Wait Event Monitoring | ||
Schema Monitoring | Through separate product | Built-in |
VACUUM Monitoring | Separate product (only top-level metrics) | Built-in in-depth monitoring |
Replication Monitoring | Through separate product | Built-in |
Log Monitoring | Through Datadog Logs, charged extra | Built-in |
Pre-Configured Log Filters | 100+ Log Events Detected Automatically | |
PII obfuscation | Yes (configurable) | |
Supported Databases | MySQL and PostgreSQL | PostgreSQL |
Deployment Method | Cloud only | Cloud or On-Premise (behind firewall) |
Hundreds Of Companies Monitor Their Production PostgreSQL Databases With pganalyze
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