Looking for alternatives or competitors to DataRadar? Other important factors to consider when researching alternatives to DataRadar include reliability and ease of use. The best overall DataRadar alternative is Datadog. Other similar apps like DataRadar are Site24x7, Dynatrace, SolarWinds Observability, and IBM Instana. DataRadar alternatives can be found in Database Monitoring Tools but may also be in Application Performance Monitoring (APM) Tools or Cloud Infrastructure Monitoring Software.
Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
An all-in-one cloud monitoring service for DevOps and IT operations with broad monitoring capabilities covering applications, servers, networks, public and private clouds, websites and web apps.
Dynatrace has redefined how you monitor today’s digital ecosystems. AI-powered, full stack and completely automated, it’s the only solution that provides answers, not just data, based on deep insight into every user, every transaction, across every application. The world’s leading brands trust Dynatrace to optimize customer experiences, innovate faster and modernize IT operations with absolute confidence.
Instana automatically discovers, maps, and monitors all services and infrastructure components across on-prem and cloud, providing AI-driven application context, issue remediation to enhance IT operations. Instana’s zero-configuration dashboards help reduce toil for SRE and DevOps teams, helping them spend more innovating than troubleshooting. Its automated playbooks seamlessly address common issues and precise ML-driven alerts help manage rapid change, thereby enhancing infrastructure availability. These capabilities in help in predicting and managing IT budgets to support increase in demand during peak cycles.
Amazon CloudWatch is a comprehensive monitoring and observability service designed to provide real-time insights into AWS resources, on-premises servers, hybrid environments, and applications. It enables users to collect and track metrics, monitor log files, set alarms, and automatically react to changes in their AWS resources. By offering a unified view of operational health, CloudWatch helps organizations optimize application performance, manage resource utilization, and maintain system reliability. Key Features and Functionality: - Metrics Collection and Monitoring: Automatically collects and tracks metrics from over 70 AWS services, including Amazon EC2, Amazon S3, and AWS Lambda, providing up-to-the-minute data on resource performance. - Log Management: Aggregates and stores logs from various sources, such as AWS services and on-premises servers, facilitating real-time monitoring and analysis. - Alarms and Automated Actions: Allows users to set alarms based on predefined thresholds, triggering automated actions like scaling resources or sending notifications when specific conditions are met. - Dashboards and Visualization: Offers customizable dashboards that display metrics and logs, enabling users to visualize data and gain insights into system performance. - Application Performance Monitoring (APM): Provides tools like Application Signals and CloudWatch Synthetics to monitor application health, detect anomalies, and simulate user interactions for proactive issue detection. - Container and Serverless Monitoring: Includes features like Container Insights and Lambda Insights to monitor containerized applications and serverless functions, offering detailed performance metrics and diagnostics. Primary Value and Problem Solving: Amazon CloudWatch addresses the critical need for comprehensive monitoring and observability in modern IT environments. By consolidating metrics, logs, and events into a single platform, it eliminates the complexity of managing multiple monitoring tools. This integration enables faster detection and resolution of operational issues, reducing downtime and improving system reliability. CloudWatch's automated actions and alarms allow for proactive management of resources, ensuring optimal performance and cost efficiency. Additionally, its support for various environments, including on-premises and hybrid setups, makes it a versatile solution for diverse infrastructure monitoring needs.
LogicMonitor is the SaaS-based, automated performance monitoring platform that provides agile IT Ops teams with the visibility and actionable metrics they need to ensure the availability of services and applications running on complex and distributed infrastructure.
New Relic is the industry's largest and most comprehensive cloud-based instrumentation platform to help customers create more perfect software.
Monte Carlo is the first end-to-end solution to prevent broken data pipelines. Monte Carlo’s solution delivers the power of data observability, giving data engineering and analytics teams the ability to solve the costly problem of data downtime.
Sumo Logic enables enterprises to build analytical power that transforms daily operations into intelligent business decisions