Datadog vs Lumigo

Overview

Datadog

Stacks9.8K

Followers8.2K

Votes861

Lumigo

Stacks35

Followers35

Votes36

Datadog vs Lumigo: What are the differences?

Introduction: When comparing Datadog and Lumigo for monitoring and observability solutions, it is essential to understand their key differences to make an informed decision.

Technology focus: Datadog is a broad monitoring and analytics platform that supports a wide range of technologies, including cloud services, containers, databases, and more, whereas Lumigo focuses primarily on serverless architectures, providing deep insights and monitoring specifically tailored for serverless applications.
Monitoring capabilities: Datadog offers comprehensive monitoring capabilities for infrastructure, applications, and logs, with extensive integrations and customizable dashboards, while Lumigo specializes in serverless monitoring, offering unique features like distributed tracing, performance optimization, and automatic error tracking specifically designed for serverless environments.
Ease of use: Datadog provides a user-friendly interface with flexible configuration options, making it accessible for teams of all sizes and expertise levels, whereas Lumigo offers a more streamlined and simplified experience, focusing on the essentials needed for monitoring serverless applications without overwhelming users with unnecessary complexities.
Cost structure: Datadog typically follows a usage-based pricing model, charging based on the volume of data ingested and features utilized, which can be cost-effective for organizations with diverse monitoring needs, while Lumigo offers a more straightforward pricing model tailored for serverless applications, which may be more budget-friendly for teams primarily focused on serverless architectures.
Alerting and automation: Datadog provides robust alerting capabilities with customizable thresholds and notification options, as well as automation features for remediation and workflow integrations, whereas Lumigo offers efficient and context-aware alerting for serverless functions, focusing on actionable insights and reducing alert fatigue for serverless developers.
Community and support: Datadog has a large user community and extensive documentation, along with various support options, including live chat and email support, while Lumigo offers personalized support for serverless monitoring challenges, with dedicated experts and resources specifically focused on optimizing serverless performance and troubleshooting.

In Summary, Datadog and Lumigo differ in their technology focus, monitoring capabilities, ease of use, cost structure, alerting and automation features, and community and support, catering to distinct monitoring needs and preferences.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Detailed Comparison

Datadog	Lumigo
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!	Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.
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	End-to-end transaction flow and issue detection; Rich debugging information; One-click distributed tracing; Latency timeline; Smart alerts; Anomaly detection; Clear architecture view;
Statistics
Stacks 9.8K	Stacks 35
Followers 8.2K	Followers 35
Votes 861	Votes 36
Pros & Cons
Pros 140 Monitoring for many apps (databases, web servers, etc) 107 Easy setup 87 Powerful ui 84 Powerful integrations 70 Great value Cons 20 Expensive 4 No errors exception tracking 2 External Network Goes Down You Wont Be Logging 1 Complicated	Pros 9 Out-of-box alerts 9 Saves hour debugging 9 Great customer support 9 Detecting and mitigating latencies
Integrations
NGINX Google App Engine Apache HTTP Server Java Docker Pingdom MySQL Ruby Python Memcached	Slack GitHub PagerDuty Kubernetes OpsGenie Jira Microsoft Teams VictorOps GitLab OpenTelemetry

What are some alternatives to Datadog, Lumigo?

New Relic

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.

Grafana

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.

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

Amazon CloudWatch

It helps you gain system-wide visibility into resource utilization, application performance, and operational health. It retrieve your monitoring data, view graphs to help take automated action based on the state of your cloud environment.

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

AppSignal

AppSignal gives you and your team alerts and detailed metrics about your Ruby, Node.js or Elixir application. Sensible pricing, no aggressive sales & support by developers.

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

AppDynamics

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

Related Comparisons

Datadog vs Lumigo: What are the differences?

Introduction: When comparing Datadog and Lumigo for monitoring and observability solutions, it is essential to understand their key differences to make an informed decision.

Technology focus: Datadog is a broad monitoring and analytics platform that supports a wide range of technologies, including cloud services, containers, databases, and more, whereas Lumigo focuses primarily on serverless architectures, providing deep insights and monitoring specifically tailored for serverless applications.
Monitoring capabilities: Datadog offers comprehensive monitoring capabilities for infrastructure, applications, and logs, with extensive integrations and customizable dashboards, while Lumigo specializes in serverless monitoring, offering unique features like distributed tracing, performance optimization, and automatic error tracking specifically designed for serverless environments.
Ease of use: Datadog provides a user-friendly interface with flexible configuration options, making it accessible for teams of all sizes and expertise levels, whereas Lumigo offers a more streamlined and simplified experience, focusing on the essentials needed for monitoring serverless applications without overwhelming users with unnecessary complexities.
Cost structure: Datadog typically follows a usage-based pricing model, charging based on the volume of data ingested and features utilized, which can be cost-effective for organizations with diverse monitoring needs, while Lumigo offers a more straightforward pricing model tailored for serverless applications, which may be more budget-friendly for teams primarily focused on serverless architectures.
Alerting and automation: Datadog provides robust alerting capabilities with customizable thresholds and notification options, as well as automation features for remediation and workflow integrations, whereas Lumigo offers efficient and context-aware alerting for serverless functions, focusing on actionable insights and reducing alert fatigue for serverless developers.
Community and support: Datadog has a large user community and extensive documentation, along with various support options, including live chat and email support, while Lumigo offers personalized support for serverless monitoring challenges, with dedicated experts and resources specifically focused on optimizing serverless performance and troubleshooting.

Datadog vs Lumigo

Overview