14 Open Source Alternatives to DataDog

A list of 14 carefully selected open-source alternatives to DataDog.

Adrian
Created by
Adrian
Mar 9, 2025Updated15 min read

The open-source alternatives are ranked based on our custom ranking system and score. This system takes into account various factors to determine the best alternatives.

If you’re looking for alternative features or workflows, here is a prepared detailed list of DataDog open-source alternatives — each with its own distinctive strengths and key features.

#1
NetData logo

NetData

73,717
6,021

NetData is a real-time observability, monitoring, and troubleshooting platform that provides deep insights into your infrastructure with high-resolution metrics and automated dashboards. Its open-source agent delivers an effortless setup that transforms complex data into actionable intelligence.

NetData screenshot

Key Features

  • Real-time monitoring with 1-second granularity
  • Automated, interactive dashboards and alerts
  • Open-source agent built under GPL3+
  • Hundreds of native integrations for diverse environments
  • Scalable architecture with both vertical and horizontal expansion
  • Cost-efficient with minimal resource footprint

NetData simplifies infrastructure monitoring by collecting thousands of metrics per second from servers, containers, IoT devices and more. The platform features automated visualizations, intelligent alerts, and AI-assisted anomaly detection, all while keeping your data securely on-premise. Its decentralized design ensures minimal resource usage and cost efficiency, making it an attractive alternative to traditional, costly monitoring tools.

#2
Sentry logo

Sentry

40,227
4,280

Sentry is a developer-first error tracking and performance monitoring platform that helps teams quickly detect, debug, and resolve issues in their applications. It delivers in-depth diagnostics and performance insights to maintain application reliability and accelerate development cycles.

Sentry screenshot

Key Features

  • Comprehensive error tracking with detailed context
  • End-to-end performance tracing to identify slow transactions
  • Session replay for visual debugging of user experiences
  • Code coverage insights integrated within pull requests
  • Seamless integrations with popular tools like Slack, Jira, and GitHub
  • Support for multiple platforms and programming languages

Sentry provides robust error monitoring, performance tracing, session replay, and code coverage capabilities, giving developers detailed context such as environment data, commit specifics, and system metrics. It automates alerts and integrates with tools like Slack, Jira, and GitHub, making it easy for teams to track and resolve issues swiftly. With support for a wide range of platforms and programming languages, Sentry is designed to improve development velocity without sacrificing quality.

#3
Highlight logo

Highlight

8,015
398

Highlight is an open source, full-stack monitoring platform that unifies error monitoring, session replay, logging, distributed tracing, and dashboards to provide complete visibility into your web applications. It is designed for developers who need to quickly diagnose issues and optimize performance through detailed insights.

Highlight screenshot

Key Features

  • Comprehensive session replay with advanced search and privacy controls
  • Real-time error monitoring with custom alerting rules
  • Detailed log analysis powered by Clickhouse and widespread SDK support
  • Distributed tracing for performance visualization
  • Customizable dashboards and APM for unified insights
  • Self-hosting options via Docker for complete control
  • Integrations with popular tools and modern frameworks

Highlight integrates session replay, error monitoring, logging, and tracing into one seamless platform, enabling developers to understand the 'what', 'why', and 'how' behind every user interaction. With powerful dashboards, extensive framework support, and self-hosting options, the tool leverages open source technologies like OpenTelemetry to provide actionable insights into your entire stack.

#4
OpenStatus logo

OpenStatus

6,913
445

OpenStatus is an open-source synthetic monitoring platform designed to help you monitor APIs and websites on a global scale. The tool detects performance issues and downtime, ensuring you receive alerts before your users are affected.

OpenStatus screenshot

Key Features

  • Global synthetic monitoring covering API, DNS, SSL, SMTP, and more
  • Real-time latency monitoring from all continents
  • Integration with OpenTelemetry for advanced observability
  • Customizable status pages with custom domains and subscription features
  • Robust alerting system with multi-channel notifications to reduce alert fatigue

OpenStatus monitors your services by testing API endpoints, DNS, SSL, SMTP, ping, and web pages from various global locations. Its features include latency monitoring, integration with OpenTelemetry, and comprehensive alerting capabilities through channels like Email, SMS, Slack, and Discord. Additionally, the platform offers customizable status pages that build trust and reduce customer service inquiries.

#5
OneUptime logo

OneUptime

4,949
239

OneUptime is the complete open-source observability platform that brings together monitoring, incident management, status pages, on-call scheduling, and log analysis in one unified solution. Designed for both startups and enterprise teams, it ensures reliable software delivery with comprehensive features and seamless integrations.

OneUptime screenshot

Key Features

  • All-in-one SRE toolchain including monitoring, status pages, incident management, on-call, logs, APM, and more
  • Open-source with a free self-hosting option and a generous free SaaS plan
  • Extensive integrations including Slack, Teams, and 5000+ third-party tools
  • AI-powered Reliability Copilot for automatic error detection and fixes
  • Enterprise-grade security features such as SSO, advanced access controls, and custom data residency

OneUptime consolidates 8+ essential tools into a single platform, offering real-time monitoring, beautiful status pages, efficient incident management, robust on-call alerts, and powerful log and performance analysis. The platform supports extensive integrations, advanced workflows, and even AI-driven error resolution through its Reliability Copilot feature, enabling teams to quickly detect, debug, and resolve issues while improving system reliability.

Statusnook is a self-hosted status page solution that lets you deploy a customizable status page and monitor endpoints in minutes. It enables you to effortlessly set up incident alerts and maintenance updates via email and Slack with minimal configuration.

Statusnook screenshot

Key Features

  • Effortless deployment with multiple installation paths
  • Automatic HTTPS configuration and certificate renewal
  • Customizable endpoint monitors and high frequency checks
  • Incident and maintenance timeline for public status pages
  • Integration with Slack and SMTP for alert notifications
  • Official Docker images and in-app updates for smooth upgrades

Statusnook offers a straightforward deployment process using various methods including standalone installation, reverse proxy, Docker, or a one-click cloud deployment. The tool provides customizable monitors that support high frequency checks and adjustable HTTP methods, headers, and bodies. It automatically configures HTTPS with certificate renewal and includes in-app updates for seamless upgrades. Additionally, build and share a public status page featuring incident timelines and health summaries while privately receiving monitor alerts through Slack and SMTP integrations.

#7
Uptrace logo

Uptrace

3,563
178

Uptrace is an open source APM platform based on OpenTelemetry, offering a unified experience for traces, metrics, and logs. It provides a comprehensive observability solution that helps monitor distributed systems with ease and predictability, whether self-hosted or managed.

Uptrace screenshot

Key Features

  • Unified observability with traces, metrics, and logs
  • Fast insights with service graphs and custom dashboards
  • Alerting and notifications for proactive incident management
  • Flexible deployment: self-hosted or managed cloud
  • Predictable, usage-based pricing with volume discounts
  • Easy integration with OpenTelemetry and various data sources

Uptrace leverages OpenTelemetry to deliver real-time insights into distributed systems by correlating traces, metrics, and logs on a single dashboard. It simplifies monitoring with built-in features like service graphs, custom dashboards, and alerting. The tool supports flexible deployment options, allowing you to self-host or use the managed cloud service. Designed for scalability, it ensures quick setup, cost savings, and predictable billing based on ingested data size and active timeseries.

#8
Logstash logo

Logstash

14,374
3,516

Logstash is an open source server-side data processing pipeline that centralizes, transforms, and routes logs, events, and other data. It efficiently ingests information from various sources and applies transformation rules to output data to your preferred storage or analytical tool.

Logstash screenshot

Key Features

  • Dynamic ingestion from diverse data sources
  • Extensive filtering and transformation capabilities with over 200 plugins
  • Persistent queue for reliable, at-least-once delivery
  • Centralized pipeline management with a user-friendly UI
  • Robust security and scalability during high-throughput events

Logstash ingests data from a multitude of sources such as logs, metrics, web applications, and data stores in a continuous, streaming fashion. With a rich library of filters—including grok for parsing and IP-to-geo transformations—it cleans, structures, and tailors your data for analysis. The pipeline’s durability is ensured by its persistent queue and at-least-once delivery, while centralized management and monitoring features provide full deployment visibility.

#9
HyperDX logo

HyperDX

7,489
231

HyperDX is an open source observability platform engineered to resolve production issues swiftly by unifying session replays, logs, metrics, traces, and errors. Powered by ClickHouse and OpenTelemetry, it offers blazing fast performance and cost-effective insights without the high price tag.

HyperDX screenshot

Key Features

  • Unified observability across session replays, logs, metrics, traces, and errors
  • Automatic end-to-end correlation of requests and sessions
  • Blazing fast search performance powered by ClickHouse
  • Intuitive full-text search and automatic log pattern clustering
  • Agent-free installation with vendor agnostic instrumentation
  • Cost-effective pricing at $0.40 per GB, with $0 per User and Host

HyperDX simplifies the process of instrumenting and correlating distributed traces, logs, and metrics for rapid issue resolution. It features intuitive full-text search, automatic clustering of log patterns, and correlated session replays that trace every user request from client to server. Built with ClickHouse, it enables swift searches across terabytes of data while remaining vendor agnostic with native OpenTelemetry support, all designed to empower high-velocity engineering teams.

#10
Signoz logo

Signoz

20,887
1,436

SigNoz is an open-source observability platform that centralizes logs, metrics, and traces for comprehensive application performance monitoring. Built with native OpenTelemetry support, it empowers development teams to monitor, troubleshoot, and optimize their systems seamlessly.

Signoz screenshot

Key Features

  • Unified observability combining logs, metrics, and traces
  • Ingests data from 50+ sources for comprehensive monitoring
  • Flexible deployment options: self-host, cloud, or on-prem
  • Optimized engine capable of handling 10TB+ daily data ingestion
  • Usage-based pricing model with no user or host-based fees

SigNoz ingests data from over 50 sources to offer a unified view of metrics, traces, logs, dashboards, alerts, and exceptions. The tool is designed to help you track user requests across services, troubleshoot performance issues in real time, and gain richer debugging context through correlated signals. With flexible deployment options including self-hosting, cloud, and on-prem solutions, it leverages a high-performance ClickHouse-based storage for rapid data queries and analysis.

Bugsink is a self-hosted error tracking solution that helps developers monitor and resolve application errors as they occur. It offers complete data control by allowing you to run the tool on your own servers while ensuring high scalability and reliability.

Bugsink screenshot

Key Features

  • Self-hosted for full data control
  • Compatible with Sentry SDKs for seamless integration
  • Scalable to handle millions of error events
  • Lightweight design ideal for minimal hardware usage
  • Quick installation with detailed setup instructions

Bugsink tracks errors in real time, aggregating all the necessary information in a single location to facilitate quick triage and resolution. Compatible with Sentry’s open source SDKs, it is easy to integrate into your applications. Its simple installation process, including Docker deployment, makes it an efficient, lightweight alternative for error monitoring on minimal hardware.

VictoriaMetrics is a high-performance, open-source time series database designed for fast and cost-effective monitoring. It simplifies observability for diverse environments—from personal labs to massive distributed systems—while ensuring reliable performance and operational simplicity.

VictoriaMetrics screenshot

Key Features

  • High-performance time series data storage and querying
  • Open-source community edition with free support and multiple enterprise tiers
  • Scalable architecture for environments ranging from single-node setups to large distributed clusters
  • Flexible deployment options (on-premise, cloud, hybrid)
  • Efficient network protocol reducing bandwidth usage
  • Enhanced query language (MetricsQL) for advanced analytics
  • Comprehensive support and integration with popular monitoring tools

VictoriaMetrics provides a robust monitoring solution with an open-source base that scales from small projects to enterprise-grade systems. It supports high-speed data ingestion, flexible query capabilities with MetricsQL, and compatibility with protocols like Prometheus, Influx, and Graphite. The platform is engineered for cost-efficient network traffic reduction and storage optimization, and it offers various deployment options including on-premise, cloud, and hybrid setups.

#13
Prometheus logo

Prometheus

57,582
9,425

Prometheus is an open-source monitoring system and time series database designed to collect, query, and alert on various metrics. It is widely adopted for its powerful querying language and efficient storage capabilities, making it a staple for modern cloud-native applications.

Prometheus screenshot

Key Features

  • Highly dimensional data model for versatile metric identification
  • Powerful PromQL for dynamic queries and custom alerts
  • Efficient in-memory and local disk storage with effective sharding
  • Built-in visualization with Grafana support and expression browser
  • Simple and reliable deployment with independent servers
  • Extensive client libraries and third-party integrations

Prometheus powers metrics collection with its highly dimensional data model, enabling detailed insights through key-value pair metrics. Its PromQL provides powerful queries for generating ad-hoc graphs, tables, and alerts, while built-in visualization, efficient local storage, and simple operational design ensure reliable and scalable monitoring for diverse systems.

#14
ThingsBoard logo

ThingsBoard

18,374
5,439

ThingsBoard is an open-source IoT platform that empowers you to manage devices, collect and process data, and create interactive visualizations. It supports industry-standard protocols such as MQTT, CoAP, and HTTP, ensuring flexible deployment on both cloud and on-premises environments.

ThingsBoard screenshot

Key Features

  • Open-source platform with full device and asset management capabilities
  • Supports MQTT, CoAP, and HTTP for secure device connectivity
  • Robust rule engine for data processing and event-driven automation
  • Customizable real-time dashboards with 30+ built-in widgets
  • Scalable architecture with cloud and on-premises deployment options
  • Flexible pricing plans and a free Community Edition available under Apache 2.0

The platform streamlines device provisioning, asset management, and telemetry data collection while offering a robust rule engine for event processing and automation. With over 30 customizable widgets for dashboards and seamless API integrations, ThingsBoard delivers real-time data visualization and scalable performance designed for growing IoT deployments. Multiple deployment options and subscription plans make it an ideal solution for both simple proof-of-concepts and enterprise-grade projects.

Price comparison of DataDog open-source alternatives

ToolTier 1Tier 2Tier 3Details
NetData logo
NetData
$10
Homelab
$4.5
Business
$4.22
Enterprise On-Premise
Learn more
OneUptime logo
OneUptime
$0
Free
$20
Growth
$84
Scale
Learn more
Uptrace logo
Uptrace
-
Predictable Pricing
--Learn more
HyperDX logo
HyperDX
$0.4
Usage-Based Pricing
--Learn more
Signoz logo
Signoz
-
Usage-based Pricing
--Learn more
Bugsink logo
Bugsink
$0
Self-hosted
$0
Single Developer
$15
Team
Learn more
VictoriaMetrics logo
VictoriaMetrics
$0
Free Community
-
Silver
-
Gold
Learn more
ThingsBoard logo
ThingsBoard
$10
Maker
$149
Prototype
-
Community Edition
Learn more

* Pricing shown is based on publicly available information and may not reflect current rates. Visit each tool's website for detailed pricing information and additional tiers.

About DataDog

Datadog is a monitoring and analytics platform founded in 2010 by Olivier Pomel and Alexis Lê-Quôc. The company's headquarters is located in New York City, United States. Datadog provides a range of products and services aimed at helping organizations monitor and analyze their infrastructure, applications, and logs in real-time. Their offerings include infrastructure monitoring, application performance monitoring, log management, and security monitoring. Customers can use Datadog's platform to gain valuable insights into the performance and health of their systems, optimize resource utilization, and detect and troubleshoot issues proactively. Operating on a global scale, Datadog has expanded its presence beyond the United States. The company has subsidiaries in Europe and Asia, including France and Japan. Additionally, Datadog has established partnerships with major cloud providers, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform, allowing customers to seamlessly integrate with their cloud-based services. In terms of market position, Datadog has achieved significant success and growth. The company went public in 2019 and has since experienced a steady increase in revenue. As of data available up to date, Datadog has become a leading player in the monitoring and analytics space, competing with established companies like Splunk and BMC Software. With its focus on cloud-native architectures and integrations with major cloud providers, Datadog has positioned itself as a preferred choice for organizations migrating to the cloud. Throughout its history, Datadog has made several noteworthy achievements and changes. In recent years, the company has expanded its product lineup by adding new features and capabilities to its platform. It has also acquired other companies, including Logmatic.io and Madumbo, to enhance its log management and machine learning capabilities. As of the latest updates, Datadog continues to innovate and expand its offerings to meet the evolving needs of its customers. The company remains committed to providing reliable, scalable, and user-friendly monitoring and analytics solutions for modern IT environments. In conclusion, Datadog is a leading monitoring and analytics platform headquartered in New York City. With a comprehensive product lineup, global operations, and a strong market position, the company continues to grow and adapt to the changing demands of the industry.
This comparison data was compiled with AI assistance.
DataDog logo

DataDog

Datadog provides cloud-scale monitoring and security for metrics, traces and logs in one unified platform.

Founded

2010

Employees

1,001

Location

New York, United States

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