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# Datadog Database Monitoring Adds Deep Cluster- and Query-Level Visibility for MongoDB
- URL: https://www.ai-360.online/datadog-database-monitoring-adds-deep-cluster-and-query-level-visibility-for-mongodb/
- Published: 2024-12-02T12:00:00.000Z
- Updated: 2026-10-25T22:08:52.000Z
- Description: Download Media Assets About Contact Partners Newsroom Events & Webinars Leadership Careers Analyst Reports Investor Relations ESG Report Trust Hub Blog The…
- Author: Nicholas Lipinski
- Tags: news, #company-datadog, 1. Enterprise AI

Download Media Assets About Contact Partners Newsroom Events & Webinars Leadership Careers Analyst Reports Investor Relations ESG Report Trust Hub Blog The Monitor Engineering AI Security Labs Login ' width="21px" viewBox="0 0 25 23" fill="none" xmlns="http://www.w3.org/2000/svg" style="height:, [the company said on 2 December 2024](https://www.datadoghq.com/about/latest-news/press-releases/datadog-database-monitoring-adds-deep-cluster-and-query-level-visibility-for-mongodb?ref=ai-360.online).

Datadog Database Monitoring Adds Deep Cluster- and Query-Level Visibility for MongoDB, the company said on 2 December 2024.

Download Media Assets About Contact Partners Newsroom Events & Webinars Leadership Careers Analyst Reports Investor Relations ESG Report Trust Hub Blog The Monitor Engineering AI Security Labs Login ' width="21px" viewBox="0 0 25 23" fill="none" xmlns="http://www.w3.org/2000/svg" style="height: calc(21px + 2px)"> GET STARTED FREE Free Trial Toggle navigation ' width="18px" viewBox="0 0 25 23" fill="none" xmlns="http://www.w3.org/2000/svg" style="height: calc(18px + 2px)"> Product Infrastructure Infrastructure Monitoring Custom Metrics Network Monitoring Container Monitoring Kubernetes Autoscaling Serverless Monitoring Cloud Cost Management Storage Management GPU Monitoring Applications Application Performance Monitoring Universal Service Monitoring Continuous Profiler Dynamic Instrumentation Agent Observability Data Database Monitoring Data Observability Data Streams Monitoring Logs Log Management Audit Trail Observability Pipelines Error Tracking Bring Your Own Cloud Log Management Sensitive Data Scanner Security Overview Code Security Software Composition Analysis Static Code Analysis Runtime Code Analysis IaC Security Secret Scanning Cloud Security Sensitive Data Scanner Cloud Security Posture Management Cloud Infrastructure Entitlement Management Vulnerability Management Compliance Cloud Workload Protection App & API Protection Cloud SIEM Bits Security Analyst Digital Experience Product Analytics Experiments Browser Real User Monitoring Mobile Real User Monitoring Session Replay Synthetic Monitoring Mobile App Testing Continuous Testing Error Tracking Dashboards Software Delivery Continuous Testing Internal Developer Portal (IDP) CI Visibility Test Optimization Feature Flags Code Coverage Software Composition Analysis DORA Metrics + AI Impact Service Management Incident Management Work Management Service Level Objectives Workflow Automation Datadog Apps Event Management Internal Developer Portal (IDP) Software Catalog AI Bits Investigation Bits AI Bits Chat Bits Agent Builder Bits Code Bits Security Analyst Agent Observability MCP Server Pup CLI GPU Monitoring Platform Capabilities Bits AI Bits Chat Bits Agent Builder Alerts Custom Metrics Dashboards Notebooks Mobile App Fleet Automation Access Control Governance Console DORA Metrics + AI Impact Incident Management Work Management Workflow Automation Teams OpenTelemetry Integrations IDE Plugins MCP Server Agent Directory Datadog Apps API Marketplace Pup CLI Software Catalog Service Level Objectives Customers Pricing Solutions Industry Financial Services Manufacturing & Logistics Healthcare/Life Sciences Retail/E-Commerce Government Education Media & Entertainment Technology Gaming Technology Amazon Web Services Monitoring Azure Monitoring Google Cloud Monitoring Oracle Cloud Monitoring Kubernetes Monitoring Red Hat OpenShift Pivotal Platform OpenAI SAP Monitoring OpenTelemetry Use Case Application Security Cloud Migration Monitoring Consolidation Unified Commerce Monitoring SOAR DevOps FinOps Shift-Left Testing Digital Experience Monitoring Security Analytics Compliance for CIS Benchmarks Hybrid Cloud Monitoring Edge Device Monitoring Real-Time BI On-Premises Monitoring Log Analysis & Correlation CNAPP Database Visibility About Contact Partners Newsroom Events & Webinars Leadership Careers Analyst Reports Investor Relations ESG Report Trust Hub Blog The Monitor Engineering AI Security Labs Docs Login Get Started back to press releases Datadog Database Monitoring Adds Deep Cluster- and Query-Level Visibility for MongoDB Datadog Database Monitoring provides deep and dedicated observability for the five most popular database types Datadog Database Monitoring provides deep and dedicated observability for the five most popular database types December 2, 2024 7:00 PM UTC Published by PR Newswire contact Dan Haggerty press@datadoghq.com NEW YORK — Datadog , Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today unveiled that its Database Monitoring product now observes MongoDB databases. With today’s announcement, Datadog Database Monitoring supports the five most popular database types—MongoDB, Postgres, MySQL, SQL Server and Oracle.

For enterprise buyers, the useful next step is to map the claim to controls, data residency and measurable outcomes—and to ask for evidence on failure modes, oversight and auditability before treating the release as production-ready fact.

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