10 mejores herramientas de monitoreo de bases de datos revisadas para 2026

Checkmk is an IT infrastructure monitoring solution that gives you the freedom to customize everything while monitoring. You can track network devices, cloud services, databases, operating systems, server hardware, and web applications.

Why I picked Checkmk: I picked Checkmk because of its flexibility and scalability. It comes with more than 2,000 plugins to help you monitor various aspects of your entire IT infrastructure. You can start with its free forever open-source edition and move to Enterprise or Cloud edition when you want to automate and scale your IT monitoring.

Checkmk Standout Features and Integrations

I think the main standout feature of Checkmk is its rule-based 1-to-N configuration. This results in a low configuration and setup effort in complex IT environments as well and makes it highly scalable.

Checkmk offers a range of pre-built integrations with technologies like Amazon Web Services (AWS), Microsoft Azure, VMware, and Docker. It also offers native integrations with monitoring protocols, including SNMP, WMI, and JMX, to monitor infrastructure components.

ManageEngine Applications Manager is an application monitoring software. It excels in providing visibility into the performance and user experience of business-critical applications and infrastructure components. IT administrators and operators use ManageEngine to optimize their applications across physical, virtual, cloud, and container platforms.

Why I picked ManageEngine Applications Manager: I chose ManageEngine due to its out-of-the-box monitoring, alerting, and reporting for more than 150 applications and infrastructure elements. It employs agentless real-time database monitoring with automated discovery of database instances.

ManageEngine Applications Manager Standout Features and Integrations

Some of the standout features of ManageEngine Applications Manager include trend analysis, proactive anomaly detection using dynamic baselines, and multi-vendor database support. I think that its agentless monitoring using methods like native OS and API calls further makes it suitable for scaling business applications.

ManageEngine Applications Manager provides native integrations with databases like Oracle, MySQL, PostgreSQL, MongoDB, AWS Aurora, and Azure SQL. It also offers out-of-the-box integration with Slack, ServiceNow, and Site24x7.

Dynatrace is an advanced observability and application performance monitoring (APM) tool. It gives you comprehensive insights into the performance and user experience of applications, infrastructure, and cloud environments.

Why I picked Dynatrace: I picked Dynatrace because of its AI-powered full-stack observability that prioritizes customer experience. It has a powerful real-user monitoring system that helps you track the user experience in real time and resolve complaints from a centralized system. I think its artificial intelligence capability and integrations with workflow and communication tools like Jira and Slack make it suitable for large teams and enterprise environments.

Dynatrace Standout Features and Integrations

The standout feature of Dynatrace, in my opinion, is its patented AI assistant called Davis AI for root cause analytics. It powers its entire suite to find performance issues faster and optimize the experience of end users.

Integrations include 600+ pre-built integrations with ServiceNow, Adobe Analytics, Apple Safari, Google Chrome, Amazon CloudWatch, Jira, and Slack. Dynatrace also offers native integrations with major cloud platforms like AWS, Microsoft Azure, and Google Cloud.

Datadog is a comprehensive platform that allows you to measure performance, troubleshoot issues, and optimize your infrastructure. It allows you to collect data from all sources, including user sessions, and present it on an intuitive dashboard for analysis and troubleshooting.

Why I picked Datadog: Datadog provides all the essential features of a database monitoring platform when it comes to tracking performance metrics and troubleshooting issues. Beyond this, I picked Datadog because of its collaboration capabilities without sacrificing security. I think Datadog is great for any team size without worrying about security risks because it allows you to create secure logins for each user and limit their access to sensitive information.

Datadog Standout Features and Integrations

The standout feature of Datadog is the provision to secure personally identifiable information (PII) through its automatic obfuscation from all query data. I think this is the feature that makes Datadog a secure, collaborative monitoring platform. Datadog enables scalable DBM access where you can add or remove members whenever you want while specifying their level of access.

Datadog offers more than 600 built-in integrations like Amazon RDS, Amazon Lambda, Microsoft Azure, Google Cloud, Hive, Jira, Kong, and OpenAI, to name a few. It also offers REST API functionality that allows you to build integrations with any service.

Site24x7 is a comprehensive monitoring platform designed for IT operations and DevOps teams, providing services to monitor websites, databases, servers, cloud resources, networks, and applications.

Why I picked Site24x7: It supports a wide range of database systems, including SQL, NoSQL, and Oracle, whether they're on-premises or in hybrid setups. I also like its ability to auto-discover and visualize critical metrics. This feature aggregates data into a holistic dashboard, giving you both host-level and query-level overviews of all nodes in your cluster. With this comprehensive view, you can quickly pinpoint and resolve issues like slow response times or high load.

Site24x7 Standout Features and Integrations

Site24x7 supports monitoring heterogeneous databases from various environments in a single console. Whether you're managing relational databases like Oracle DB, MSSQL, MySQL, PostgreSQL, and SAP HANA, or NoSQL databases like MongoDB and Cassandra, Site24x7 provides a unified view. Additionally, it offers AI-powered monitoring, which aids in proactively identifying potential issues before they impact your database performance. 

Integrations include ServiceNow, PagerDuty, Jira, Microsoft Teams, Slack, Nagios, AWS, Azure, Google Cloud Platform, Docker, Jenkins, and Kubernetes.

DbVisualizer offers a practical mix of visualization and management tools for teams that need to monitor and understand their database activity. With strong SQL charting features, it lets you turn query results into clear visual insights that help you spot trends and performance issues faster. Its ability to track data changes and present results in multiple formats makes it a useful option for maintaining database health and optimizing performance.

Why I Picked DbVisualizer

I picked DbVisualizer for its strong SQL charting features, which let you turn query results into visual charts that make performance patterns easy to spot. Its real-time data monitoring allows you to run SQL statements at set intervals and view results in grid, text, or chart formats, all in one place. With the ability to watch multiple databases simultaneously and automatically track any result set, DbVisualizer helps administrators identify trends and issues quickly without manual effort.

DbVisualizer Key Features

In addition to SQL charting, DbVisualizer offers:

• Automatic Monitoring: It allows you to set up automated monitoring of SQL statements, ensuring continuous oversight of database performance.
• Data Export: The ability to print and export monitored data ensures that you can share insights and reports easily with your team.
• Explain Plan Analysis: Inspect how queries run to improve efficiency and reduce load.

DbVisualizer Integrations

Native integrations include Oracle, SQL Server, MySQL, PostgreSQL, DB2, Sybase, SQLite, Derby, H2, and HSQLDB.

Netdata is an open-source monitoring and troubleshooting platform that provides real-time, high-resolution metrics and visualizations for systems, hardware, containers, and applications. It emphasizes minimal resource usage and supports a wide range of operating systems including Linux, FreeBSD, and MacOS.

Why I picked Netdata: I chose Netdata because it's designed to collect per-second metrics such as CPU usage, disk activity, bandwidth usage, and website visits, and display them in low-latency dashboards. This real-time capability is particularly valuable for database monitoring, where timely data is crucial for maintaining system health and performance. Netdata also offers rapid setup and full automation, which allows users to begin monitoring with a simple command, gaining access to fully automated dashboards and preconfigured alerts.

Netdata Standout Features and Integrations

A standout feature of Netdata is its health engine that can send automated alarms about anomalous behavior or performance degradation to your favorite notification apps. It collects, stores, queries, visualizes, alerts, and even trains machine-learning models for every single metric.

Integrations include Containers, Kubernetes Containers, Virtual Machines, Apache, Consul, Elasticsearch, OpenSearch, MySQL, Redis, Squid log files, Windows, macOS, and hundreds more.

Adverity is a data platform that helps marketing teams manage and monitor their data workflows. It offers tools to connect, transform, and oversee data from various sources. 

Why I picked Adverity: Adverity offers automated data quality monitoring to catch issues like duplicates, anomalies, and delays before they impact your dashboards. You can set custom rules that trigger alerts when data doesn’t meet your standards. The platform also shows whether data streams are complete, fetching, or missing, so you can address gaps quickly. These monitoring tools help keep your marketing data reliable and analysis-ready. Everything happens in real time, reducing the need for manual checks.

Adverity Standout Features and Integrations

Some other features include smart naming conventions to ensure consistency in data fields. Additionally, Adverity provides a data dictionary that maps source data fields to your centralized system, making it easier to understand and manage your data structure.

Integrations include Google, Meta, TikTok, Google BigQuery, Looker Studio, Facebook Ads, Amazon Advertising, Hubspot, Salesforce, Amazon S3, Snowflake, and Microsoft Azure.

New Relic Database Monitoring is an all-in-one observability platform that enables teams to monitor, debug, and improve their database and application performance.

Why I picked New Relic Database Monitoring: I think New Relic is a great tool for startups because it gives you everything you need right out of the box. You can begin monitoring without any complicated installation process with its Instant Observability quickstarts bundle. It also has a generous, free-forever plan ideal for startups with a limited budget.

New Relic Database Monitoring Standout Features and Integrations

I think the standout feature of New Relic Database Monitoring is its ability to debug and collaborate from the IDE itself. This improves the workflow of technical teams as they can continue to focus on development while keeping an eye on infrastructure and application performance.

The key integration of New Relic Database Monitoring is the native support for OpenTelemetry. It also has pre-built integrations with cloud services like AWS, Microsoft Azure, and Google Cloud.

Prometheus is an open-source monitoring and alerting system developed by the Cloud Native Computing Foundation (CNCG). It specializes in collecting and analyzing data in a time-series format that allows for higher efficiency in data collection and analysis.

Why I picked Prometheus: I picked Prometheus because of its unique approach to data collection and beautiful visualizations. It stores data as time-stamped values associated with specific labels. This leads to improved data collection, querying, and analysis.

Prometheus Standout Features and Integrations

The standout feature of Prometheus, in my opinion, is its native language, Prometheus Query Language (PromQL). Once you become comfortable with it, it can help you do powerful querying, slicing, and dicing of the collected data to get relevant, actionable insights.

Prometheus offers pre-built integration with Grafana — an open-source data visualization platform. It also provides native support for client libraries of popular programming languages like Go, Java, Python, and Ruby.