Total Products under this Category: 129
Last updated: October 11, 2026
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G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.
Highlighted products: Datadog, Redgate Monitor, Site24x7, Dynatrace, IBM Instana, Monte Carlo, Grafana Labs, and ManageEngine Applications Manager.
Underlying data: [Grid® JSON](https://www.g2.com/categories/database-monitoring/grids.json?focus%5B%5D=datadog&focus%5B%5D=redgate-monitor&focus%5B%5D=site24x7&focus%5B%5D=dynatrace&focus%5B%5D=ibm-instana&focus%5B%5D=monte-carlo&focus%5B%5D=grafana-labs&focus%5B%5D=manageengine-applications-manager)
ClusterEye monitors PostgreSQL, MongoDB, MSSQL, Oracle and more on a single platform — with AI-powered query intelligence and built-in security & compliance audits. Not just monitoring; proactive protection.
CtrlStack, now rebranded as QueryPal, is a DevOps observability platform designed to simplify real-time troubleshooting for complex, distributed systems. By unifying disconnected data, tools, and teams, it enables organizations to connect cause and effect across their entire infrastructure, facilitating faster incident resolution and reducing downtime. The platform forms a comprehensive knowledge graph of all infrastructure components, interconnected services, and change impacts, empowering DevOps teams to troubleshoot issues in real time and embrace changes without the anxiety of failed deployments. Key Features and Functionality: - Event Timeline: Allows teams to browse and filter change events without sifting through log files, providing a clear view of system changes. - Knowledge Graph: Offers a dependency tree that reveals relationships and connections between operational data, including metrics, events, logs, traces, entities, and changes. - Change Impact Dashboard: Provides end-to-end visibility of all changes across commits, configuration files, and feature flags in one click, displaying a filtered event timeline, commit details, impacted topology, and metrics. - Root Cause Analysis Dashboard: Captures all the context of an incident at the moment it occurs, offering a searchable event timeline, impacted topology, metrics, and commit details to streamline the diagnostic process. Primary Value and Problem Solved: CtrlStack addresses the challenge of fragmented DevOps data, tools, and knowledge, which often complicate troubleshooting and extend downtime. By integrating change impact and root cause analysis into the DevOps pipeline, it enables teams to detect and remediate code and configuration changes swiftly. This approach reduces the time spent manually backtracking causes, enhances visibility into system changes, and allows teams to focus on what matters most with deeper context, ultimately leading to more reliable services at scale.
DataRadar is a cloud-based platform designed to enhance data reliability and optimize Snowflake utilization and cost. It incorporates a suite of features, including: Data Quality Monitoring: Proactively identifies and addresses data anomalies, inconsistencies, and errors across your data sources and pipelines. Snowflake Cost Optimization: Analyzes warehouse usage patterns, identifies areas for cost reduction, and recommends optimal warehouse configurations to minimize spend. Data Pipeline Monitoring: Provides real-time visibility into data flow, detects bottlenecks, and alerts users to potential disruptions. Schema Management: Tracks schema changes across your data sources, enabling proactive responses to evolving data structures. Automated Alerts & Notifications: Delivers timely alerts and notifications via various channels (email, Slack, etc.) to ensure rapid issue resolution. Why DataRadar? Maintaining the utmost data quality, reliability, and gaining comprehensive visibility into your Snowflake data cloud usage and spending is critical for the prosperity of your business. But the reality is, data issues happen. Simple errors at the data source or within pipelines can amplify quickly into expensive problems, causing trust issues and compromising the reliability of your data. How DataRadar empowers you : Proactively identify and resolve data quality issues with real-time alerts and automated checks. Optimize Snowflake costs by analyzing resource utilization, identifying underutilized resources, and recommending optimal warehouse configurations. Gain complete visibility into your data pipelines with end-to-end monitoring and automated alerts for any disruptions. Improve data reliability and trust by ensuring data accuracy and consistency across your entire data ecosystem. Maximize your Snowflake ROI by optimizing resource allocation and minimizing data-related downtime.
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dbForge Event Profiler for SQL Server is a free tool for capturing and analyzing SQL Server events and save data about each event t. The tool provides convenient GUI to SQL Trace for inspecting a Database Engine instance. For instance, user can audit a production environment to determine which stored procedures are affecting performance by executing too slowly. Supports SQL Server 2022. Key features: * Watch the trace results as the trace runs * Events sorting and grouping * Start, stop, modify the trace results as necessary * Multiple event profiling templates * Saving trace results to a file for the future use * Clear wizard interface * Compliance with the Federal Information Processing Standard (FIPS) * Connection to Microsoft Azure SQL Database by using identities in Azure Active Directory * Greatly improved visual style of the application with high DPI support
Average Rating: 4.0/5.0
Total Reviews: 1
"I have three year experience to use event profiler."
Rating: 4.0/5.0 stars
— Verified User in Information Technology and Services
All-inclusive and easy-to-use intuitive software which shows database performance problems in a clear way, yet is also able to precisely indicate their causes. One of the main issues in effectively providing IT services is maintenance of adequate performance levels of the system. Frequently, the only solution that many companies can offer to these problems is investment in larger, more efficient servers. Unfortunately, this does not always bring the anticipated results despite high expenditures. Optimisation of business system performance on the level of existing databases can be an effective solution to these problems. Instead of investing in hardware, performance problems can be more effectively solved by using the appropriate database optimisation at the level of the most overloaded SQL queries. To optimise a database, it is essential to locate bottlenecks and understand why they arise.
DQOps is an open-source data quality platform designed for data quality and data engineering teams that makes data quality visible to business sponsors. The platform provides an efficient user interface to quickly add data sources, configure data quality checks, and manage issues. DQOps comes with over 150 built-in data quality checks, but you can also design custom checks to detect any business-relevant data quality issues. The platform supports incremental data quality monitoring to support analyzing data quality of very big tables. Track data quality KPI scores using our built-in or custom dashboards to show progress in improving data quality to business sponsors. DQOps is DevOps-friendly, allowing you to define data quality definitions in YAML files stored in Git, run data quality checks directly from your data pipelines, or automate any action with a Python Client. DQOps works locally or as a SaaS platform.
Enteros UpBeat offers a patented database performance management SaaS platform. It proactively identifies root causes of complex revenue-impacting database performance issues across growing number of RDBMS, NOSQL and deep/machine learning database platforms
IBM Db2 AI for z/OS embraces autonomics to simplify database management efforts through built-in domain expertise. Leveraging machine learning and AI, it can help improve operational performance and maintain Db2 for z/OS efficiency and health while enhancing Db2 for z/OS performance, reliability and cost effectiveness–even under the most demanding circumstances.
IBM Z Database Assistant is an AI-powered database administration solution designed to help organizations simplify and optimize Db2 for z/OS and IMS database operations. It provides database administrators with a unified workspace that combines intelligent monitoring, diagnostics, performance optimization, and natural language assistance. Using agentic AI and automation, IBM Z Database Assistant helps DBAs proactively identify database health and performance issues, troubleshoot problems faster, optimize SQL, and receive recommended next-best actions. It can explain complex issues in plain language and guide administrators through corrective actions while keeping human review and control at the center of the process. IBM Z Database Assistant helps organizations reduce manual database administration effort, improve operational efficiency, address skills gaps, and keep mission-critical IBM Z data ready to support modern applications, analytics, and AI workloads.
MaxGauge Database Troubleshooter is a professional software solution designed for comprehensive database performance management. It efficiently monitors the availability and performance of database systems, providing proactive monitoring techniques to swiftly identify issues and effectively analyze application bottlenecks. By collecting and monitoring performance data with minimal system load, MaxGauge delivers clear and accurate analysis reports, ensuring optimal database operation. Key Features and Functionality: - Real-time Monitoring: Continuously observes various performance indicators to detect issues promptly. - Direct Memory Access: Allows monitoring and analysis even during database hang situations. - High-Precision Data Collection: Captures data at 0.01-second intervals, enabling precise real-time analysis. - Smart Analysis: Automatically detects performance degradation and provides reports or notifications. - Alert Notifications: Configures alerts for all performance indicators, with SMS and email integration. - User Management: Sets accessible IP ranges, database lists, and user permissions. - Performance Reporting: Generates daily and periodic reports in various formats. - Cloud and DBMS Support: Supports both commercial and open-source DBMS across various cloud platforms, including AWS, Azure, OCI, and GCP. Primary Value and Problem Solved: MaxGauge Database Troubleshooter addresses the critical need for maintaining optimal database performance and availability. By providing real-time monitoring and detailed analysis, it enables organizations to quickly identify and resolve performance issues, minimizing downtime and enhancing system reliability. Its proactive approach helps prevent significant costs associated with system outages, particularly in environments where database performance is crucial to operations.
