Database integrations on Grafana Labs

What database integrations provide

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Metrics, dashboards, and alerts for your database

Database integrations use Grafana Alloy to collect database-level metrics from your database and send them to Grafana Cloud. Each integration provides:

Database-level metrics: connections and memory, and replication where the database replicates
Prebuilt dashboards and alerting rules
Broad coverage across MongoDB, Redis, Memcached, Cassandra, MySQL, PostgreSQL, and Oracle Database

How integrations work

Each integration has its own setup instructions, but they follow the same general pattern:

Install Grafana Alloy on a host that can reach your database.
Configure the exporter. Some exporters are built into Alloy, such as the Redis and Oracle Database exporters. Others run alongside it, such as the JMX exporter for Cassandra.
Install the dashboards and alerts from the Connections page in Grafana Cloud.

Alloy scrapes metrics from the exporter and forwards them to Grafana Cloud via Prometheus remote write. Some integrations, such as Cassandra and Oracle Database, also collect logs and send them to Grafana Cloud Logs.

MongoDB integration

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MongoDB integration

The MongoDB integration provides database monitoring for MongoDB deployments, from standalone instances to sharded clusters. It collects connection metrics and includes a too-many-connections alert.


What it’s for	Monitoring operations, connections, replication, and sharding health
Under the hood	Collects operations, connections, replication, and sharding metrics

Metrics collected

The integration collects metrics across operations, connections, replication, and sharding:

Operations: Queries, inserts, updates, deletes
Connections: Current, available, usage
Replication: Oplog window, member state
Sharding: Chunk distribution, balancer

What to know

This integration offers:

Prebuilt dashboards: MongoDB overview, MongoDB instance, MongoDB replica set, and MongoDB cluster
10 prebuilt alerts, including replication lag and connections
Replica set and sharding visibility
Oplog window and member state

Set it up

View the MongoDB integration documentation.

Open this path in your Grafana Cloud stack for a fully interactive experience, or read through it to understand the process first.

Learning path

Monitor MongoDB with Grafana Cloud

Welcome to the MongoDB monitoring learning path that shows you how to use Grafana Alloy to send MongoDB metrics to Grafana Cloud for comprehensive database observability.

17 min

Beginner

Docs & blog posts

Open in Grafana Cloud

Complete this learning path directly in your Grafana Cloud stack with an interactive learning experience.

Open in Grafana Cloud

View on website

Path completed

Redis integration

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Redis integration

Redis is an in-memory data structure store used as a key-value database, cache, and message broker. The Redis integration monitors memory usage, command throughput, and cluster health.


What it monitors	Commands, memory usage, keyspace statistics, connected clients, replication, cluster state
How it works	Grafana Alloy’s built-in Redis exporter scrapes metrics from your Redis instance
What you get	6 alerts + 1 dashboard
Prerequisites	Redis user with monitoring permissions (authentication setup)

What you’ll see in the dashboard

Command throughput: Commands processed per second and command duration
Memory usage: Used memory, RSS, fragmentation ratio, and max memory threshold
Client connections: Connected and blocked clients
Keyspace: Keys, expiring keys, and eviction rate
Replication: Connected replicas

Key alerts

Alert	Severity
RedisDown	Critical
RedisOutOfMemory	Warning
RedisTooManyConnections	Warning
RedisClusterStateNotOk	Critical

Documentation

View the Redis integration documentation.

Path completed

Memcached integration

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Memcached integration

Memcached is a distributed, in-memory key-value store used to speed up dynamic database-driven websites by caching data in memory. The Memcached integration monitors cache performance, memory usage, and connection health.


What it monitors	Cache hit/miss rate, evictions, memory usage, connections, items stored
How it works	Grafana Alloy’s built-in Memcached exporter scrapes metrics from your instance
What you get	4 alerts + 1 dashboard (Memcached Overview)
Prerequisites	Grafana Alloy installed on a host with network access to the Memcached instance

What you’ll see in the dashboard

Cache performance: Hit rate, miss rate, and eviction trends
Memory utilization: Current bytes stored vs. available memory
Connection tracking: Current connections, connection rate, and max connection threshold
Item statistics: Items stored, items evicted, and storage throughput
Resource usage: CPU time (user and system) and network bytes (read/written)

Key alerts

Alert	Severity
MemcachedDown	Critical
MemcachedConnectionLimitApproaching	Warning / Critical
MemcachedOutOfMemoryErrors	Warning

Documentation

View the Memcached integration documentation.

Path completed

Apache Cassandra integration

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Apache Cassandra integration

Apache Cassandra is an open source NoSQL distributed database designed for high availability and horizontal scalability. The Cassandra integration monitors cluster health, read/write latencies, compaction, and JVM performance.


What it monitors	Read/write latencies, compaction tasks, JVM garbage collection, cluster node status, keyspace metrics
How it works	JMX Exporter exposes Cassandra metrics; Grafana Alloy scrapes them and forwards to Grafana Cloud
What you get	8 alerts + 4 dashboards (Overview, Nodes, Keyspaces, Logs)
Prerequisites	JMX Exporter deployed on each Cassandra node

What you’ll see in the dashboards

Overview: Cluster-wide node count (up/down), read/write latency trends, pending compaction tasks, and CPU/memory usage
Nodes: Per-node performance: latencies, garbage collection, and resource consumption
Keyspaces: Pending compactions, repair job tracking, and disk space usage
Logs: Cassandra system logs collected alongside the metrics

Key alerts

Alert	Severity
HighReadLatency / HighWriteLatency	Critical
BlockedCompactionTasksFound	Critical
HighPendingCompactionTasks	Warning
UnavailableWriteRequestsFound	Critical
HintsStoredOnNode	Warning
HighCpuUsage / HighMemoryUsage	Critical

Documentation

View the Apache Cassandra integration documentation.

Path completed

MySQL integration

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MySQL integration

The MySQL integration provides database performance monitoring for MySQL instances, whether standalone, replicated, or clustered. Running out of connections is a classic MySQL failure, and the InnoDB buffer pool hit ratio reveals whether your working set still fits in memory.


What it’s for	Monitoring query performance, connections, replication, and InnoDB health
Under the hood	Uses the mysqld exporter to read server status and InnoDB metrics

Metrics collected

The integration collects these metric groups for MySQL:

Queries: QPS, slow queries, query types
Connections: Active, max, threads
InnoDB: Buffer pool, I/O, row operations
Replication: Lag, status, errors

What to know

This integration offers:

Prebuilt dashboards: MySQL and MySQL logs
15 prebuilt alerts, including replication lag
Query performance and slow query visibility
InnoDB buffer pool and I/O metrics

Set it up

View the MySQL integration documentation.

Open this path in your Grafana Cloud stack for a fully interactive experience, or read through it to understand the process first.

Learning path

Monitor MySQL with Grafana Alloy

Welcome to the Grafana learning path that shows you how to monitor MySQL databases with Grafana Alloy and use pre-built dashboards and alerts in Grafana Cloud.

16 min

Beginner

Docs & blog posts

Open in Grafana Cloud

Complete this learning path directly in your Grafana Cloud stack with an interactive learning experience.

Open in Grafana Cloud

View on website

Path completed

PostgreSQL integration

Wed, 07 Oct 2026 10:00:46 -0500

PostgreSQL integration

The PostgreSQL integration provides database performance monitoring for queries, connections, replication, and vacuum.


What it’s for	Monitoring queries, connections, replication, and vacuum/bloat health
Under the hood	Collects query, connection, replication, and vacuum metrics

Metrics collected

The integration collects these metric groups for PostgreSQL:

Queries: Active, waiting, duration
Connections: Used, available, by state
Transactions: Commits, rollbacks, conflicts
Replication: Lag, slot status
Vacuum: Dead tuples, autovacuum

What to know

This integration offers:

Prebuilt dashboards: PostgreSQL cluster overview, PostgreSQL instance overview, PostgreSQL logs, and PostgreSQL query performance
19 prebuilt alerts, including connections, replication, and vacuum
Vacuum and dead tuple monitoring
Buffer cache hit ratio insights
Query waiting and lock detection

Set it up

View the PostgreSQL integration documentation.

Open this path in your Grafana Cloud stack for a fully interactive experience, or read through it to understand the process first.

Learning path

Monitor PostgreSQL with Grafana Alloy

Welcome to the Grafana learning path that shows you how to monitor PostgreSQL databases with Grafana Alloy and use pre-built dashboards and alerts in Grafana Cloud.

18 min

Beginner

Docs & blog posts

Open in Grafana Cloud

Complete this learning path directly in your Grafana Cloud stack with an interactive learning experience.

Open in Grafana Cloud

View on website

Path completed

Oracle Database integration

Wed, 07 Oct 2026 10:00:46 -0500

Oracle Database integration

Oracle Database is a multi-model relational database management system used widely in enterprise environments. The Oracle Database integration monitors session and process activity, tablespace utilization, and wait events.


What it monitors	Sessions, processes, tablespace usage, wait times, resource limits, and `oracledb_up` availability
How it works	Grafana Alloy’s built-in OracleDB exporter scrapes metrics from your Oracle instance using Oracle Instant Client
What you get	3 alerts + 2 dashboards (Oracle Database overview and Oracle Database logs)
Prerequisites	Oracle Instant Client installed on the Alloy host with `ORACLE_HOME` set (Alloy 1.9.0+), plus a monitoring user with specific `SELECT` grants

What you’ll see in the dashboards

Sessions and processes: Active sessions, process counts, and how close you are to configured limits
Tablespace utilization: Used vs. allocated space across tablespaces
Wait events: Which categories of waits are consuming time inside the database
Resource limits: Current values against v$resource_limit thresholds
Availability: oracledb_up for at-a-glance health

Key alerts

Alert	Severity
OracledbReachingSessionLimit	Critical
OracledbReachingProcessLimit	Critical
OracledbTablespaceReachingCapacity	Critical

Documentation

View the Oracle Database integration documentation.

Path completed

Resources

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Resources for database integrations

Use these resources to learn more.

Database integrations on Grafana Labs

What database integrations provide

Metrics, dashboards, and alerts for your database

How integrations work

MongoDB integration

MongoDB integration

Metrics collected

What to know

Set it up

Monitor MongoDB with Grafana Cloud

Open in Grafana Cloud

Redis integration

Redis integration

What you’ll see in the dashboard

Key alerts

Documentation

Memcached integration

Memcached integration

What you’ll see in the dashboard

Key alerts

Documentation

Apache Cassandra integration

Apache Cassandra integration

What you’ll see in the dashboards

Key alerts

Documentation

MySQL integration

MySQL integration

Metrics collected

What to know

Set it up

Monitor MySQL with Grafana Alloy

Open in Grafana Cloud

PostgreSQL integration

PostgreSQL integration

Metrics collected

What to know

Set it up

Monitor PostgreSQL with Grafana Alloy

Open in Grafana Cloud

Oracle Database integration

Oracle Database integration

What you’ll see in the dashboards

Key alerts

Documentation

Resources

Resources for database integrations

Documentation and blogs

Community