Best Observability Tools for Datadog
View:
Compare the Top Observability Tools that integrate with Datadog as of September 2025
Sort By:
This a list of Observability tools that integrate with Datadog. Use the filters on the left to add additional filters for products that have integrations with Datadog. View the products that work with Datadog in the table below.
What are Observability Tools for Datadog?
Observability tools are software platforms that help monitor, measure, and gain insights into the performance and health of systems, applications, and infrastructure. These tools provide a comprehensive view of the system by collecting and analyzing data from various sources, including logs, metrics, traces, and events. Observability tools are essential for identifying and diagnosing issues, improving system reliability, and optimizing performance. They enable real-time monitoring, anomaly detection, root cause analysis, and alerting, which allows teams to respond proactively to potential problems. By offering detailed insights into system behavior, observability tools are critical for DevOps, cloud-native environments, and microservices architectures. Compare and read user reviews of the best Observability tools for Datadog currently available using the table below. This list is updated regularly.
-
1
New Relic
New Relic
New Relic empowers enterprises with intelligent observability solutions, providing unmatched visibility across your tech stack. Our AI-driven, unified data platform centralizes telemetry from front-end to infrastructure, enabling real-time insights and proactive issue resolution. With advanced tools like automated alerts, customizable dashboards, and full-stack analysis, New Relic helps you optimize performance, reduce downtime, and deliver superior digital experiences. Simplifying enterprise-scale observability, New Relic turns your system data into a strategic asset, driving operational efficiency and innovation. Start your observability transformation today.Starting Price: Free -
2
Sifflet
Sifflet
Automatically cover thousands of tables with ML-based anomaly detection and 50+ custom metrics. Comprehensive data and metadata monitoring. Exhaustive mapping of all dependencies between assets, from ingestion to BI. Enhanced productivity and collaboration between data engineers and data consumers. Sifflet seamlessly integrates into your data sources and preferred tools and can run on AWS, Google Cloud Platform, and Microsoft Azure. Keep an eye on the health of your data and alert the team when quality criteria aren’t met. Set up in a few clicks the fundamental coverage of all your tables. Configure the frequency of runs, their criticality, and even customized notifications at the same time. Leverage ML-based rules to detect any anomaly in your data. No need for an initial configuration. A unique model for each rule learns from historical data and from user feedback. Complement the automated rules with a library of 50+ templates that can be applied to any asset. -
3
Edge Delta
Edge Delta
Edge Delta is a new way to do observability that helps developers and operations teams monitor datasets and create telemetry pipelines. We process your log data as it's created and give you the freedom to route it anywhere. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment.Starting Price: $0.20 per GB -
4
InsightFinder
InsightFinder
InsightFinder Unified Intelligence Engine (UIE) platform provides human-centered AI solutions for identifying incident root causes, and predicting and preventing production incidents. Powered by patented self-tuning unsupervised machine learning, InsightFinder continuously learns from metric time series, logs, traces, and triage threads from SREs and DevOps Engineers to bubble up root causes and predict incidents from the source. Companies of all sizes have embraced the platform and seen that business-impacting incidents can be predicted hours ahead with clearly pinpointed root causes. Survey a comprehensive overview of your IT Ops ecosystem, including patterns, trends, and team activities. Also view calculations that demonstrate overall downtime savings, cost of labor savings, and number of incidents resolved.Starting Price: $2.5 per core per month -
5
OpenLIT
OpenLIT
OpenLIT is an OpenTelemetry-native application observability tool. It's designed to make the integration process of observability into AI projects with just a single line of code. Whether you're working with popular LLM libraries such as OpenAI and HuggingFace. OpenLIT's native support makes adding it to your projects feel effortless and intuitive. Analyze LLM and GPU performance, and costs to achieve maximum efficiency and scalability. Streams data to let you visualize your data and make quick decisions and modifications. Ensures that data is processed quickly without affecting the performance of your application. OpenLIT UI helps you explore LLM costs, token consumption, performance indicators, and user interactions in a straightforward interface. Connect to popular observability systems with ease, including Datadog and Grafana Cloud, to export data automatically. OpenLIT ensures your applications are monitored seamlessly.Starting Price: Free -
6
Lightrun
Lightrun
Add logs, metrics and traces to production and staging, directly from your IDE or CLI, in real-time and on-demand. Boost productivity and gain 100% code-level observability with Lightrun. Insert logs and metrics in real-time even while the service is running. Debug monolith microservices, Kubernetes, Docker Swarm, ECS, Big Data workers, serverless, and more. Quickly add a missing logline, instrument a metric, or place a snapshot to be taken on demand. No need to replicate the production environment or re-deploy. Once the instrumentation is invoked, the data is printed to the log analysis tool, your IDE, or to an APM of your choice. Analyze code behavior to find bottlenecks and errors without stopping the running process. Easily add large amounts of logs, snapshots, counters, timers, function durations, and more. You won’t stop or break the system. Spend less time debugging and more time coding. No more restarting, redeploying and reproducing when debugging. -
7
LOGIQ
LOGIQ.AI
LOGIQ.AI’s LogFlow provides centralized control of your observability data pipelines. As data streams arrive, they are automatically organized and optimized for your business teams and knowledge workers. XOps teams can centralize data flow management, gain data EPS control, and increase data quality and relevance. Built on any object store, LogFlow’s InstaStore enables infinite data retention and on-demand data replay to any target observability platform of your choice. Analyze operational metrics across applications and infrastructure and gain actionable insights that help you scale with confidence while maintaining high availability. Fuel business decisions and better user experiences by collecting, transforming, and analyzing behavioral data and usage patterns from business systems. Don’t let new attack techniques catch you off guard. Detect and analyze threat patterns from multiple sources and automate threat prevention and remediation. -
8
Bigeye
Bigeye
Bigeye is the data observability platform that helps teams measure, improve, and communicate data quality clearly at any scale. Every time a data quality issue causes an outage, the business loses trust in the data. Bigeye helps rebuild trust, starting with monitoring. Find missing and busted reporting data before executives see it in a dashboard. Get warned about issues in training data before models get retrained on it. Fix that uncomfortable feeling that most of the data is mostly right, most of the time. Pipeline job statuses don't tell the whole story. The best way to ensure data is fit for use, is to monitor the actual data. Tracking dataset-level freshness ensures pipelines are running on schedule, even when ETL orchestrators go down. Find out about changes to event names, region codes, product types, and other categorical data. Detect drops or spikes in row counts, nulls, and blank values to ensure everything is populating as expected. -
9
Rookout
Rookout
Rookout is a live data collection and debugging platform, which allows software engineers to understand and debug any application no matter where it’s running - from monoliths to cloud native applications. Rookout empowers engineers to reduce debugging and logging time by 80%, solving customer issues 5x faster. With the use of Non-Breaking Breakpoints, software engineers get the data they need instantly, without additional coding, restarts, or redeployment of their application required.With Rookout, developers are able to understand any piece of code. Being able to extract the data you need, from any line of code, allows devs to understand their code and makes collaboration and handoffs easier. -
10
Observo AI
Observo AI
Observo AI is an AI-native data pipeline platform designed to address the challenges of managing vast amounts of telemetry data in security and DevOps operations. By leveraging machine learning and agentic AI, Observo AI automates data optimization, enabling enterprises to process AI-generated data more efficiently, securely, and cost-effectively. It reduces data processing costs by over 50% and accelerates incident response times by more than 40%. Observo AI's features include intelligent data deduplication and compression, real-time anomaly detection, and dynamic data routing to appropriate storage or analysis tools. It also enriches data streams with contextual information to enhance threat detection accuracy while minimizing false positives. Observo AI offers a searchable cloud data lake for efficient data storage and retrieval. -
11
DataBahn
DataBahn
DataBahn.ai is redefining how enterprises manage the explosion of security and operational data in the AI era. Our AI-powered data pipeline and fabric platform helps organizations securely collect, enrich, orchestrate, and optimize enterprise data—including security, application, observability, and IoT/OT telemetry—for analytics, automation, and AI. With native support for over 400 integrations and built-in enrichment capabilities, DataBahn streamlines fragmented data workflows and reduces SIEM and infrastructure costs from day one. The platform requires no specialist training, enabling security and IT teams to extract insights in real time and adapt quickly to new demands. We've helped Fortune 500 and Global 2000 companies reduce data processing costs by over 50% and automate more than 80% of their data engineering workloads. -
12
Linkerd
Buoyant
Linkerd adds critical security, observability, and reliability features to your Kubernetes stack—no code change required. Linkerd is 100% Apache-licensed, with an incredibly fast-growing, active, and friendly community. Built in Rust, Linkerd's data plane proxies are incredibly small (<10 mb) and blazing fast (p99 < 1ms). No complex APIs or configuration. For most applications, Linkerd will “just work” out of the box. Linkerd's control plane installs into a single namespace, and services can be safely added to the mesh, one at a time. Get a comprehensive suite of diagnostic tools, including automatic service dependency maps and live traffic samples. Best-in-class observability allows you to monitor golden metrics—success rate, request volume, and latency—for every service. -
13
OpenTelemetry
OpenTelemetry
High-quality, ubiquitous, and portable telemetry to enable effective observability. OpenTelemetry is a collection of tools, APIs, and SDKs. Use it to instrument, generate, collect, and export telemetry data (metrics, logs, and traces) to help you analyze your software’s performance and behavior. OpenTelemetry is generally available across several languages and is suitable for use. Create and collect telemetry data from your services and software, then forward them to a variety of analysis tools. OpenTelemetry integrates with popular libraries and frameworks such as Spring, ASP.NET Core, Express, Quarkus, and more! Installation and integration can be as simple as a few lines of code. 100% Free and Open Source, OpenTelemetry is adopted and supported by industry leaders in the observability space.
- Previous
- You're on page 1
- Next