Buyer’s Guide - August 2026

The 10 best Oracle database monitoring tools, ranked by an operator

Oracle exposes more internal telemetry than almost any other database, and most monitoring tools surface only a fraction of it. This ranking grades ten tools on what actually decides the outcome: depth of Oracle internals coverage, collection granularity, full-stack correlation, and how the bill behaves as your fleet grows.

Start with Netdata (free) Jump to rankings

Why this list exists

Oracle monitoring is not generic infrastructure monitoring with a JDBC connection bolted on. The database exposes a rich set of internal performance views - V$SYSSTAT, V$SYSMETRIC, V$WAITCLASSMETRIC, AWR, ASH - and general-purpose platforms either ignore them or surface only the shallowest counters. The two mistakes buyers make are mirror images: picking a broad observability platform and assuming it delivers Oracle-grade diagnostics, or paying for Oracle’s native management packs when a lighter tool would cover most of the need at a fraction of the operational cost.

Three dimensions decide which tool wins in your environment:

Oracle monitoring depth. Does the tool collect wait events and wait classes, sessions and logons, tablespace utilization, SGA/PGA, cache hit ratios, RAC, and CDB/PDB multitenant metrics - or just connection counts and query throughput?
Granularity and correlation. Per-second collection catches short-lived session spikes and wait-event bursts that minute-level pollers average away. And when the database is fine but the host is starving, you need host CPU, memory, disk, and network in the same interface.
Pricing behavior at scale. Whether the bill grows with nodes, instances, monitors, servers, ingested GB, host memory, or CPU count matters more than any list price.

On pricing: this guide does not quote competitor list prices. Most vendors here are quote-based or modular, and a number copied from a pricing page in August 2026 will mislead you by the time procurement gets involved. Instead, each card describes the pricing shape and what makes the bill grow, with a link to the vendor’s own pricing page. Netdata’s own pricing is stated plainly because it is published and simple.

If you want operator-level runbooks for the Oracle metrics themselves - which wait events matter, how to read tablespace and cache hit ratio trends - the Oracle Database guide section is the right companion to this list.

The shortlist was assembled from practitioner discussions (including r/oracle threads on what DBAs actually run), vendor documentation, and independent listicles from Comparitech, CubeAPM, and Network-King. Every tool here has documented, current Oracle support; tools with only a generic SQL plugin were excluded.

Oracle monitoring depth carries the most weight (25%) because it is the entire reason this category exists. Deployment effort, granularity, and full-stack correlation share the next tier, because a tool that takes three weeks to configure or polls once a minute will fail you during the incident that justified buying it. Pricing predictability and openness round out the score.

Tester credit

Compiled by the Netdata team - Updated August 12, 2026

Sources verified

Scoring criteria

Oracle monitoring depth 25%
Wait events, sessions, tablespaces, SGA/PGA, cache hit ratios, RAC, CDB/PDB, AWR/ASH-style analytics
Deployment and setup effort 15%
Agentless vs agent, auto-discovery, read-only user requirements, time to first dashboard
Data granularity and retention 15%
Per-second vs minute-level collection, baselines, retention for capacity planning
Full-stack correlation 15%
Tying Oracle metrics to host, network, application traces, and logs
Alerting and AI/ML 10%
Anomaly detection and AI-assisted root cause vs static thresholds
Pricing predictability 10%
What the bill scales with: nodes, instances, GB, host memory, or CPUs
Openness and portability 10%
Open source, self-host options, data sovereignty, lock-in risk

Vendor 01 / 10 · #netdata

Netdata

Open-source infrastructure monitoring with a dedicated Oracle DB collector, per-second metrics, and ML anomaly detection on every metric.

Best for

DBAs and SREs who want per-second Oracle metrics - sessions, wait classes, tablespaces, cache hit ratios - without a separate agent per database
Teams that want ML anomaly detection and AI-assisted root-cause analysis on every metric out of the box
Organizations that want to avoid per-GB or per-instance metering as Oracle fleets grow

Pricing

Netdata Cloud Business starts at $4.50/node/month on annual plans, with the per-node price decreasing as node count grows
Agents are open source (AGPL) and free; a free Cloud tier covers small fleets up to 5 nodes
Containers on a monitored host are included at no extra cost - you pay for agents, not containers
Unlimited metrics, logs, and retention on Business plans; no per-GB or usage-based charges

Pros

Dedicated go.d oracledb collector queries V$SYSSTAT, V$SYSMETRIC, V$WAITCLASSMETRIC, DBA_TABLESPACES, and more with a read-only user
Per-second default collection interval catches session spikes and wait-event bursts that minute-level pollers miss
Top-queries and running-queries functions via V$SQLSTATS and V$SESSION for live SQL visibility
Zero-config auto-discovery of Oracle instances on localhost:1521 and in Docker, across 800+ integrations
ML on every metric, anomaly detection, and AI-assisted root-cause analysis included in Business
Data stays on your infrastructure; verified outcomes include 80% MTTR reduction and 90% cost reduction

Where teams pair it

No AWR/ASH/ADDM-style workload analytics or SQL tuning workbench - DBAs doing deep SQL tuning pair Netdata with OEM, SolarWinds DPA, or Quest Foglight
The Oracle collector requires creating a read-only database user with SELECT_CATALOG_ROLE, and no default alerts ship with the Oracle integration, so you configure thresholds yourself
Trace visualization UI is still rolling out (traces are ingested via OTLP today), so trace-centric workflows are not yet fully supported

Verdict

Netdata leads this list because it is the only tool that combines per-second collection of Oracle internals with ML anomaly detection on every metric, full host-level context, and predictable per-node pricing with no per-GB or per-instance metering. Auto-discovery and a read-only user mean you get useful Oracle dashboards in minutes, not weeks. The honest caveat: it covers the monitoring surface, not the tuning workbench - for AWR/ADDM-grade diagnostics you still pair it with OEM or a dedicated DBA tool. For most teams, that pairing costs less than any single tool that tries to do both.

Start free -> See database monitoring ->

Vendor 02 / 10 · #oracle-enterprise-manager

Oracle Enterprise Manager

Oracle’s native management platform with AWR, ASH, ADDM, SQL Monitoring, and fleet-wide monitoring across Database, Exadata, and OCI.

Best for

Oracle-centric shops already paying for Oracle Database licenses and management packs
DBAs who need AWR/ASH/ADDM diagnostics, SQL tuning, and patch and compliance automation
Fleet operators managing hundreds of Oracle instances, RAC, and Exadata

Pricing

Base Cloud Control is included with Oracle Database licenses; the advanced Diagnostics and Tuning Packs are separately licensed
Database Management for cloud and external databases is billed per OCPU or host CPU-hour
The bill grows with CPU count and which management packs you enable

Pros

Deepest native telemetry available: AWR, ASH, ADDM, SQL Monitoring, and Performance Hub
Fleet monitoring across hundreds of instances with automatic incident detection
Exadata, RAC, and OCI awareness built in
Automation for patching, backup validation, and compliance
More than 500 database health and performance metrics

Cons

Advanced diagnostics require the separately licensed Diagnostic and Tuning Packs, which add significant cost
UI and alerting are frequently criticized as dated and complex for non-DBA users
Heavyweight footprint - Cloud Control requires its own repository and middleware
Oracle-only; limited value for mixed database estates

Verdict

OEM is the reference implementation for Oracle monitoring, and no third-party tool matches its AWR/ASH/ADDM depth. If you already own the Diagnostic and Tuning Packs, much of this list is additive rather than replacement. The reasons teams look elsewhere are consistent: pack licensing cost, a heavyweight Cloud Control footprint, a UI that punishes non-DBAs, and zero value for the non-Oracle databases most estates also run. It earns rank 2 on depth alone, held back by cost and scope.

Visit Oracle Enterprise Manager -> OEM licensing guide ->

Vendor 03 / 10 · #solarwinds-dpa

SolarWinds Database Performance Analyzer

Agentless database performance monitoring built around wait-time analysis, SQL tuning, and cross-engine visibility.

Best for

DBAs who live in wait-event and SQL-level analysis and want agentless deployment
Shops running Oracle alongside SQL Server, MySQL, or PostgreSQL that want one DPA tool
Teams that need historical baselines and anomaly detection for Oracle RAC and PDBs

Pricing

Subscription (SaaS) or perpetual on-prem license, priced per monitored database instance
Quote-based; no public list prices
The bill grows linearly with the number of database instances monitored

Pros

Agentless Oracle monitoring with a sub-1% overhead claim
Wait-time analysis, blocking-session detection, and SQL tuning insights
Supports Oracle RAC, pluggable databases, on-prem and cloud
Machine-learning anomaly detection and historical baselines
Cross-engine visibility across Oracle, SQL Server, MySQL, and PostgreSQL

Cons

Database layer only - no host, application, or network observability in DPA
Initial setup can be complex in large or heavily customized Oracle environments
On-prem DPA historically requires Windows Server, though a SaaS option exists
Per-instance pricing gets expensive for large fleets

Verdict

DPA is the strongest purpose-built tool for the performance-tuning half of Oracle monitoring: wait events, SQL, and blocking chains, deployed agentlessly. It tops most Oracle listicles written by DBAs for good reason. What it deliberately does not do is full-stack monitoring, so nearly every DPA deployment pairs with an infrastructure tool underneath it. Per-instance pricing also means the bill tracks fleet growth one database at a time.

Read full Netdata vs SolarWinds -> SolarWinds pricing ->

Vendor 04 / 10 · #datadog

Datadog

SaaS observability platform with an Oracle integration and a Database Monitoring add-on for query samples, wait events, and connection health.

Best for

Teams already standardized on Datadog for APM, logs, and infrastructure
Organizations running Oracle on-prem, in containers, or in OCI that need DB metrics correlated with application traces
SREs who want query-level visibility without building a custom pipeline

Pricing

Per-host infrastructure pricing plus a per-database-host Database Monitoring add-on
DBM requires Infrastructure Monitoring; each database host includes an allotment of normalized queries
Logs billed per GB ingested; the bill grows with hosts, database hosts, log volume, and enabled products

Pros

Oracle integration tracks query throughput, connections, wait events, resource usage, and replication
DBM module provides query samples, explain plans, and normalized query performance for self-hosted Oracle
600+ integrations correlate Oracle metrics with APM traces and host metrics
Supports Oracle RAC, CDB/PDB, and containerized deployments
Mature alerting, dashboards, and AI-driven anomaly detection

Cons

SaaS-only; no self-hosted option
Modular pricing escalates quickly as hosts, database hosts, and log volumes grow
Oracle visibility is not in base pricing - DBM is an add-on that requires Infrastructure Monitoring
No AWR-style workload analysis; not an Oracle tuning workbench

Verdict

Datadog is the strongest full-stack SaaS option for Oracle when correlation is the goal: a slow query tied to a deployment, a host, and a trace in one pane. Query-sample depth via DBM is genuinely good. The caveats are structural: SaaS-only, Oracle visibility requires a paid add-on on top of per-host infrastructure pricing, and the bill scales along several axes at once. For Datadog-centric shops it is the obvious choice; for Oracle-first teams it is an expensive way to get metric-level coverage.

Read full Netdata vs Datadog -> Datadog pricing ->

Vendor 05 / 10 · #dynatrace

Dynatrace

AI-powered full-stack observability with an Oracle Database extension for server-side metrics, SQL statements, and log insights.

Best for

Enterprise teams that want automatic discovery of Oracle dependencies via Smartscape topology
Organizations running Oracle in RAC, OCI, or hybrid estates that want Davis AI correlation across SQL, apps, and hosts
Teams that prefer declarative, extension-based Oracle collection over custom scripts

Pricing

Per-host pricing based on memory allocation for full-stack monitoring, plus per-GB log ingest
The Oracle extension is included with the platform but requires OneAgent or ActiveGate deployment
The bill grows with monitored host memory and data ingest volume

Pros

Oracle Database extension (Extensions 2.0) provides server-side metrics, SQL statements, and log insights
OneAgent auto-discovers Oracle processes and binds database insights to them
Davis AI correlates Oracle wait events with application performance and infrastructure
Smartscape topology maps Oracle dependencies automatically
Supports OCI integration and RAC-backed applications

Cons

Memory-based host pricing plus ingest can grow steeply for large fleets
Oracle extension setup requires JDBC driver license acceptance and configuration
Oracle does not recommend installing OneAgent on Exadata servers, limiting coverage there
Steep learning curve for the platform’s full feature set

Verdict

Dynatrace’s Oracle story is about correlation, not Oracle-native depth. The extension is mature, the topology mapping is genuinely automatic, and Davis AI does real work tying a wait-event spike to the application change that caused it. Against that: memory-based host pricing that punishes large database servers, an Exadata gap created by Oracle’s own support stance, and a platform learning curve that smaller teams rarely climb. Strong for enterprises already bought into the Dynatrace model.

Read full Netdata vs Dynatrace -> Dynatrace pricing ->

Vendor 06 / 10 · #quest-foglight

Quest Foglight for Oracle

DBA-focused Oracle performance monitoring with deep SQL, wait, and blocking analysis, change tracking, and CDB/PDB support.

Best for

Oracle DBAs who want a purpose-built troubleshooting console for SQL, waits, and blocking
Teams managing CDB/PDB multitenant estates that need curated Oracle dashboards
Organizations that want change tracking and baselines for root-cause analysis

Pricing

Per named instance licensing; annual subscription or perpetual plus maintenance
Quote-based through Quest sales; no public list prices
The bill grows linearly with the number of Oracle instances monitored

Pros

Purpose-built for Oracle: expensive statements, top wait events, latch contention, blocking chains
Change tracking and baselines for root-cause analysis
CDB/PDB multitenant support with curated dashboards
Guided setup including the required DB user and privileges
Enterprise view of database health with automated performance analysis

Cons

Navigation and GUI complexity are common complaints
Oracle-only focus; no value for mixed database estates
Per-instance licensing scales linearly with fleet size
No public pricing; requires sales engagement

Verdict

Foglight is one of the most Oracle-specific third-party tools you can buy, and for pure DBA troubleshooting workflows - SQL, waits, blocking, change tracking - it competes with DPA at the top of the category. It loses ground on the same axis as DPA: it is a database-layer tool with no infrastructure story, and its Oracle-only focus makes it hard to justify in mixed estates. The dated GUI and quote-only licensing are friction, not dealbreakers. If your job title is Oracle DBA, evaluate it.

Visit Quest Foglight -> Quest pricing overview ->

Vendor 07 / 10 · #new-relic

New Relic

Usage-based observability platform with an nri-oracledb integration covering database, tablespace, memory, and session metrics.

Best for

Teams that want unlimited hosts at a flat ingest-based price
Organizations running Oracle Exadata Cloud@Customer (ExaCC) that want documented quickstart coverage
SREs who want Oracle metrics alongside APM, logs, and NRQL dashboards

Pricing

Usage-based: per-GB data ingest plus per-user fees for core and full-platform users
A free tier includes a data ingest allowance; there is no per-host pricing
The bill grows with data volume ingested and number of paid users

Pros

nri-oracledb integration collects database, tablespace, memory, and session metrics
Instant Observability quickstarts provide curated Oracle dashboards
Exadata Cloud@Customer (ExaCC) coverage is documented
Correlates Oracle metrics with APM traces, logs, and hosts in one platform
No per-host pricing; unlimited hosts included

Cons

SaaS-only; no self-hosted option
Per-GB ingest plus per-user fees can rise with high-volume telemetry
Metric-focused Oracle integration; no AWR/ASH-style workload analytics
Requires the infrastructure agent on a host that can reach the Oracle instance

Verdict

New Relic offers solid metric-level Oracle coverage inside a usage-based platform, and the absence of per-host pricing is genuinely attractive for large fleets of small instances. ExaCC support is a differentiator almost nobody else documents. The tradeoffs: the Oracle integration is metric-level only, ingest-based billing punishes chatty telemetry, and SaaS-only deployment rules it out for shops with data sovereignty requirements. A credible choice for New Relic-centric teams; not a reason to switch platforms.

Read full Netdata vs New Relic -> New Relic pricing ->

Vendor 08 / 10 · #manageengine-applications-manager

ManageEngine Applications Manager

Application and database monitoring with deep Oracle KPI coverage: tablespaces, SGA/PGA, sessions, wait events, RAC, and CDB/PDB.

Best for

IT operations teams that want Oracle monitoring alongside application, server, and cloud monitoring in one tool
Mid-size enterprises with Oracle RAC, CDB/PDB, or OCI workloads wanting curated Oracle views
Budget-conscious teams that want a free tier to start

Pricing

Per-monitor licensing; each Oracle instance or service consumes one monitor
A free edition covers a limited monitor count; Professional and Enterprise editions scale by monitor count
On-prem and cloud-hosted (AWS/Azure marketplace) options; the bill grows with the number of monitors you add

Pros

Deep Oracle KPIs: tablespace usage, buffer and library cache, sessions, wait events, query response times
Curated Oracle views for RAC and CDB/PDB, plus OCI monitoring hooks
Automatic discovery of Oracle instances
Root-cause analysis, anomaly detection, and predictive resource alerts
Free edition available for small environments

Cons

Per-monitor licensing scales with instance count; large fleets get expensive
Initial configuration can be complex for larger environments
Feature breadth carries a learning curve
No direct SaaS deployment; cloud hosting goes through AWS/Azure marketplaces

Verdict

Applications Manager is the strongest all-rounder at a mid-market price point: Oracle KPI depth that approaches the specialist tools, plus the surrounding application and server stack in the same console. It is not as sharp on SQL tuning as DPA or Foglight, and per-monitor licensing means a growing Oracle fleet grows the bill one instance at a time. For IT ops teams that need Oracle plus everything else without enterprise-platform pricing, it deserves a serious look.

Read full Netdata vs ManageEngine -> ManageEngine pricing ->

Vendor 09 / 10 · #redgate-monitor

Redgate Monitor

Multi-platform database monitoring covering SQL Server, Oracle, PostgreSQL, MySQL, and MongoDB from a single dashboard, with Oracle multitenant support.

Best for

Teams running Oracle alongside SQL Server, PostgreSQL, MySQL, or MongoDB that want one monitoring console
Organizations with Oracle multitenant (CDB/PDB) estates wanting container- and pluggable-level visibility
DBAs who want a lightweight, agent-based tool with a modern web UI

Pricing

Per-server license; one license covers all database instances on that server
Annual subscription with volume discounts at higher server counts
The bill grows with the number of monitored servers, not instances

Pros

Multi-platform: five database engines from one dashboard
Oracle multitenant support with visibility at both container and pluggable level
Per-server licensing is simple and predictable; no per-instance metering
Documented Oracle preparation and setup guides
Modern web UI with alerting and historical analysis

Cons

Historically SQL Server-centric; Oracle support is newer and shallower than Oracle-native tools
No AWR/ASH-style workload analytics; focused on live metrics and alerts
Requires a Windows or Linux host for the monitoring service
Less well-known in Oracle-only shops

Verdict

Redgate Monitor’s per-server licensing is the friendliest pricing shape in this list after Netdata’s: consolidate several Oracle instances on one host and you still pay for one server. Oracle multitenant support is real and documented. The honest caveat is depth - Redgate’s heritage is SQL Server, and its Oracle coverage, while solid at the metric and PDB level, does not match OEM, DPA, or Foglight for diagnostics. A smart pick for mixed estates; a stretch for Oracle-only shops.

Visit Redgate Monitor -> Redgate pricing ->

Vendor 10 / 10 · #zabbix

Zabbix

Open-source enterprise monitoring with dedicated Oracle templates via Zabbix agent 2 and agentless ODBC checks.

Best for

Teams that want open-source, self-hosted monitoring with no per-node license fees
Organizations already running Zabbix for network and server monitoring that want Oracle in the same platform
DBAs comfortable with templates, triggers, and SQL-based ODBC checks

Pricing

Open source and self-hosted - you operate it yourself, so the real cost is infrastructure and operations time
Commercial support and Zabbix Cloud (SaaS) are available as paid options
No per-node or per-instance license fees

Pros

Official Oracle template for Zabbix agent 2 supports Oracle Database 12c2 and newer
Agentless Oracle monitoring via ODBC with templates for database, tablespace, ASM, and security audit metrics
CDB and non-CDB installations supported
Active community; practitioners on r/oracle report solid Oracle coverage out of the box
Scales to thousands of hosts

Cons

No built-in SQL tuning or AWR-style workload analysis; you build custom SQL checks yourself
Template- and trigger-based configuration has a real learning curve
Default polling is typically 1 minute; per-second granularity requires custom configuration
Dashboards and alerting are functional but less polished than commercial SaaS tools

Verdict

Zabbix is the best fully open-source path to Oracle health and performance monitoring, and the official agent 2 and ODBC templates cover more Oracle surface than most people expect. But open source is not free to run: you own the server, the templates, the triggers, the retention, and the upgrades. Default minute-level polling also means short-lived Oracle spikes need custom work to catch. For teams already fluent in Zabbix, adding Oracle is a clear win; starting from zero, weigh the operations burden honestly.

Read full Netdata vs Zabbix -> Zabbix pricing ->

Frequently asked questions

What is the best way to monitor Oracle Database performance?

Start with the metrics that matter: wait events and wait classes, sessions and average active sessions, tablespace utilization, SGA/PGA, and buffer, cursor, and library cache hit ratios. Prefer per-second or near-real-time collection over minute-level polling, because session spikes and wait-event bursts often live and die inside a single minute. Use a dedicated read-only monitoring user with SELECT_CATALOG_ROLE rather than connecting as a privileged account. The native-vs-third-party tradeoff is real: Oracle Enterprise Manager has the deepest diagnostics, but third-party tools are cheaper to run, easier for non-DBAs, and cover mixed estates. Many teams run both.

Does Netdata support Oracle Database monitoring?

Yes. Netdata ships a dedicated go.d oracledb collector that auto-discovers Oracle instances on localhost:1521 and in Docker. You create a read-only database user with SELECT_CATALOG_ROLE, and the collector pulls metrics from V$SYSSTAT, V$SYSMETRIC, V$WAITCLASSMETRIC, DBA_TABLESPACES, and more at a per-second default interval. Top-queries and running-queries functions use V$SQLSTATS and V$SESSION for live SQL visibility. See the Oracle DB integration docs.

What is Oracle Enterprise Manager and when do I need it?

Oracle Enterprise Manager is Oracle’s native management platform, with AWR, ASH, ADDM, SQL Monitoring, and Performance Hub - the deepest Oracle diagnostics available anywhere. Base Cloud Control is included with Oracle Database licenses, but the Diagnostic and Tuning Packs that power its best features are separately licensed and costly. You need OEM when you do deep SQL tuning, AWR-based workload analysis, or fleet-wide patch and compliance automation on Oracle. Third-party tools are a better fit when cost, operational complexity, or a mixed database estate makes the Oracle-only investment hard to justify.

How much does Oracle database monitoring cost?

Oracle database monitoring ranges from free for open-source self-hosted tools (Zabbix, Netdata agent) to significant enterprise licensing for OEM management packs, with most commercial vendors using quote-based, per-unit pricing. The pricing shapes are stable even when list prices are not: Netdata charges per node, SolarWinds DPA and Quest Foglight per database instance, ManageEngine per monitor, Redgate per server, Datadog per host plus add-ons and per-GB logs, Dynatrace per host memory plus ingest, New Relic per GB ingested plus per user, and OEM per CPU plus management packs. What makes each bill grow differs: instance count, host count, ingest volume, or CPU count. Open-source options carry no license fee but real operational cost - you run and maintain them yourself.

Can I monitor Oracle Database with Prometheus and Grafana?

Yes, via oracledb_exporter - a community project (iamseth) with an Oracle-forked variant (oracle-db-appdev-monitoring) - which exports Oracle metrics in Prometheus and OpenTelemetry formats. Grafana dashboards handle visualization. The tradeoff is DIY effort: alerting rules, long-term retention, high availability, and dashboard maintenance are all your responsibility. It works well for teams already running a Prometheus stack, but it is assembly, not a product.

What Oracle Database metrics should I monitor?

The core set: sessions and average active sessions; wait classes and wait time (especially db file sequential read and log file sync); buffer, cursor, and library cache hit ratios; tablespace utilization and autoextend status; logons and logons per second; disk I/O and IOPS; and top SQL by resource consumption. Every tool in this list covers most of these; the differentiators are collection granularity and how well the metrics correlate with host and application context.

Is Zabbix good for Oracle monitoring?

Yes, with caveats. Zabbix ships an official Oracle template for agent 2 (Oracle 12c2 and newer) and agentless ODBC templates covering database, tablespace, ASM, and security audit metrics, with both CDB and non-CDB support. Practitioners on r/oracle endorse its out-of-the-box Oracle coverage. The costs are a template-and-trigger learning curve, minute-level default polling, and no built-in SQL tuning or AWR-style analysis - custom SQL checks are yours to write and maintain.

How do I monitor Oracle RAC and multitenant (CDB/PDB) databases?

For RAC, look at OEM, SolarWinds DPA, Datadog, ManageEngine, and Quest Foglight - all document RAC support, including global cache blocks and interconnect metrics. For CDB/PDB multitenant, OEM, DPA, Datadog, ManageEngine, Foglight, and Redgate Monitor all expose container-level and pluggable-level metrics. The key evaluation question is whether the tool separates container-level from pluggable-level metrics or collapses them into one view - for PDB-level capacity planning you need both.

What is the difference between database monitoring and database performance tuning tools?

Monitoring tools answer ‘is the database healthy, available, and within capacity’ - metrics, alerting, trends. Tuning tools answer ‘why is this query slow and how do I fix it’ - SQL analysis, wait-event profiling, AWR/ASH, index and plan advice. Many teams run both: an always-on monitoring platform for visibility, plus a tuning tool for deep dives. Netdata covers the monitoring side with per-second Oracle metrics; OEM, SolarWinds DPA, and Quest Foglight cover the tuning side. Buying one and expecting the other is the most common procurement mistake in this category.

The 10 best Oracle database monitoring tools, ranked by an operator

How we evaluated Oracle database monitoring tools

Netdata

Oracle Enterprise Manager

SolarWinds Database Performance Analyzer

Datadog

Dynatrace

Quest Foglight for Oracle

New Relic

ManageEngine Applications Manager

Redgate Monitor

Zabbix

Frequently asked questions

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