DATABASES

11 engines, one pane.

From Postgres to Oracle, Redis to Azure SQL — a native integration for every engine we support. Not a long list of logos: 40+ engine-specific metrics and ready-made dashboards each.

PG
PostgreSQL
RELATIONALAGENT

Production-grade Postgres monitoring

84 metrics · 9.6 — 17
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O
Oracle DB
RELATIONALAGENT

CDB/PDB, Data Guard, RMAN, unified audit

76 metrics · 12c — 23ai
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SQL
Microsoft SQL Server
RELATIONALAGENT

Always On AG, Query Store, plan compare

68 metrics · 2014 — 2022
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M
MongoDB
DOCUMENTAGENT

Replica sets + sharded clusters

72 metrics · 4.0 — 7.0
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My
MySQL
RELATIONALAGENT

InnoDB, replication, performance_schema

62 metrics · 5.7 — 8.4
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Mr
MariaDB
RELATIONALAGENT

Monitored through the MySQL platform

58 metrics · 10.3 — 11.4
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CH
ClickHouse
ANALYTICSAGENT

MergeTree, replication, mutations, Keeper

48 metrics · 21 — 24
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R
Redis
IN-MEMORYAGENTLESS

Cluster, slowlog, latency and memory diagnostics

46 metrics · 5 — 7.4
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E
Elasticsearch
SEARCHAGENTLESS

Shard, ILM/tier and JVM heap visibility

52 metrics · 7.x — 8.x + OpenSearch
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AZ
Azure SQL
CLOUDAGENTLESS

DTU/vCore headroom, Query Store, elastic pools

66 metrics · Database + Managed Instance
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AP
Azure PostgreSQL
CLOUDAGENTLESS

Resource headroom, storage forecast, wait analysis

64 metrics · Flexible Server
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PER ENGINE

Metrics tailored to each engine

Postgres autovacuum behavior, Mongo oplog lag, Redis keyspace hit rate — the metrics DBAs expect, for every engine.

POSTGRESQL — SAMPLE METRIC SET
pg_stat_replication
lag_bytes, replay_lsn, write_lag
pg_stat_activity
active connections, longest tx
pg_stat_bgwriter
buffers_clean, checkpoint_sync_time
autovacuum
running, last vacuum, dead tuples
pg_locks
blocked queries, lock waits
WAL
wal_records, wal_bytes, archiver

Don't see your engine in the list?

Let's share our roadmap — we prioritise new engine integrations by customer demand.

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