Datadog vs Grafana vs New Relic: What are the differences?
Key Differences between Datadog, Grafana, and New Relic
Datadog, Grafana, and New Relic are popular monitoring and observability tools that provide valuable insights into the performance and health of your systems. While they share similarities, each platform has its own unique features and strengths that set them apart from each other.
Data Visualization: Grafana specializes in data visualization and excels at creating interactive and customizable dashboards. It supports a wide range of data sources and allows for seamless integration with various databases, making it ideal for building comprehensive and visually appealing monitoring displays.
Alerting and Notification: Datadog boasts a powerful alerting system that enables users to set up custom alerts based on specific metrics and thresholds. It offers advanced alerting options such as anomaly detection and machine learning-driven alerts, allowing for timely identification and resolution of potential issues.
Infrastructure Monitoring: New Relic focuses heavily on infrastructure monitoring, providing detailed insights into the health and performance of servers, containers, and cloud-based resources. It offers comprehensive visibility into system metrics, network activity, and resource utilization, making it an excellent choice for monitoring complex and distributed systems.
AIOps Capabilities: Datadog incorporates AIOps (Artificial Intelligence for IT Operations) features that utilize machine learning to analyze and correlate vast amounts of monitoring data and provide actionable insights. These capabilities enable automatic root cause analysis and anomaly detection, making it easier for teams to proactively identify and resolve issues.
Application Performance Monitoring (APM): New Relic offers comprehensive APM capabilities, allowing users to monitor and optimize the performance of their applications. It provides detailed transaction traces, code-level visibility, and comprehensive metrics for applications built using various programming languages and frameworks.
Integration Ecosystem: Grafana excels in its integration ecosystem, supporting a wide range of data sources and plugins. It offers seamless integration with popular monitoring tools, databases, and cloud platforms, enabling users to aggregate data from multiple sources and build unified dashboards.
In summary, Datadog stands out with its advanced alerting and AIOps capabilities, Grafana excels in data visualization and integration, while New Relic focuses on infrastructure monitoring and application performance optimization.
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The objective of this work was to develop a system to monitor the materials of a production line using IoT technology. Currently, the process of monitoring and replacing parts depends on manual services. For this, load cells, microcontroller, Broker MQTT, Telegraf, InfluxDB, and Grafana were used. It was implemented in a workflow that had the function of collecting sensor data, storing it in a database, and visualizing it in the form of weight and quantity. With these developed solutions, he hopes to contribute to the logistics area, in the replacement and control of materials.
Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.
From a StackShare Community member: “We need better analytics & insights into our Elasticsearch cluster. Grafana, which ships with advanced support for Elasticsearch, looks great but isn’t officially supported/endorsed by Elastic. Kibana, on the other hand, is made and supported by Elastic. I’m wondering what people suggest in this situation."
The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.
Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.
Performance Data Retention;Real-User Response Time, Throughput, & Breakdown by Layer;App Response Time, Throughput, & Breakdown by Component;App Availability Monitoring, Alerting, and Notification;Automatic Application Topology Mapping;Server Resource and Availability Monitoring;Error Detection, Alerting, & Analysis;JVM Performance Analyzer;Database Call Response Time & Throughput;Performance Data API Access;Code Level Diagnostics, Transaction Tracing, & Stack Trace Details;Slow SQL and SQL Performance Details;Real-User Breakdown by Web Page, Browser, & Geography;Track Individual Key Transactions;Mobile Features- Alerting, Summary Data, Overview Page, Topo Map, HTTP Requests, HTTP Error Summary, HTTP Error Detail, Versions, Carriers, Devices, Geo Map
14-day Free Trial for an unlimited number of hosts;200+ turn-key integrations for data aggregation;Clean graphs of StatsD and other integrations;Slice and dice graphs and alerts by tags, roles, and more;Easy-to-use search for hosts, metrics, and tags;Alert notifications via e-mail and PagerDuty;Receive alerts on any metric, for a single host or an entire cluster;Full API access in more than 15 languages;Overlay metrics and events across disparate sources;Out-of-the-box and customizable monitoring dashboards;Easy way to compute rates, ratios, averages, or integrals;Sampling intervals of 10 seconds;Mute all alerts with 1 click during upgrades and maintenance;Tools for team collaboration
Create, edit, save & search dashboards;Change column spans and row heights;Drag and drop panels to rearrange;Use InfluxDB or Elasticsearch as dashboard storage;Import & export dashboard (json file);Import dashboard from Graphite;Templating
Statistics
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GitHub Stars
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GitHub Forks
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Stacks
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Followers
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Followers
8.2K
Followers
14.6K
Votes
1.9K
Votes
861
Votes
415
Pros & Cons
Pros
414
Easy setup
344
Really powerful
245
Awesome visualization
194
Ease of use
151
Great ui
Cons
20
Pricing model doesn't suit microservices
10
UI isn't great
7
Expensive
7
Visualizations aren't very helpful
5
Hard to understand why things in your app are breaking
Pros
140
Monitoring for many apps (databases, web servers, etc)