Database Monitoring Tools Resources

I want to start a discussion focused on database monitoring platforms for cloud deployments that teams are actually using and finding value in. While some tools lean enterprise, there are several with features and integrations that make sense for smaller teams operating in AWS, Azure, or GCP.

These are some of the top-rated options on G2’s Database Monitoring category:

• Dynatrace: End-to-end, AI-assisted monitoring that auto-discovers services across cloud environments. Can smaller teams get meaningful value quickly, or does it shine mainly in complex estates?
• Redgate Monitor: Strong SQL-centric monitoring that can run in cloud and hybrid setups. For managed cloud databases, is the coverage and alerting granular enough compared to the full-stack tools?
• ManageEngine Applications Manager: Broad multi-DB coverage with unified dashboards across cloud and on-prem. Is the setup straightforward for cloud-only teams, and how well does it handle multi-region visibility?
• Monte Carlo: Data observability focused on freshness/volume/schema signals across cloud data stacks. Has it helped you catch cloud pipeline issues that masquerade as database problems?
• Rakuten SixthSense Observability: Full-stack observability with cloud-friendly deployment options. For those who’ve tried it, how does it compare on real-time responsiveness and cost control?

If you’ve implemented any of these or others for cloud deployments, I’d love to hear what worked well, what didn’t, and which tools were surprisingly helpful.

I want to start a discussion focused on real-time database performance monitoring tools that teams are actually using and finding value in. While some platforms lean enterprise, there are several with features and integrations that make sense for fast-growing teams that need second-by-second visibility. These are some of the top-rated options on G2’s Database Monitoring category.

• Datadog: Unified observability with database monitoring and live query metrics—does its real-time dashboards and anomaly alerts help you catch issues before they impact users?
• Dynatrace: AI-assisted (Davis) end-to-end visibility and a Databases app that auto-maps dependencies—has it reduced your time to pinpoint slow queries across services?
• Redgate Monitor: Deep, SQL-centric monitoring with baselining and instant alerts—how well does it surface real-time blockers and waits during peak traffic?
• Monte Carlo: Data observability that flags freshness/volume/schema anomalies—have its real-time signals helped you catch performance-related data issues before dashboards break?

If you've implemented any of these or others, I’d love to hear what worked well, what didn’t, and which tools were surprisingly helpful for real-time database performance monitoring.