Best Observability Tools for Amazon S3
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Compare the Top Observability Tools that integrate with Amazon S3 as of October 2025
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This a list of Observability tools that integrate with Amazon S3. Use the filters on the left to add additional filters for products that have integrations with Amazon S3. View the products that work with Amazon S3 in the table below.
What are Observability Tools for Amazon S3?
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 Amazon S3 currently available using the table below. This list is updated regularly.
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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
SolarWinds AppOptics
SolarWinds
SolarWinds® AppOptics™ is a simple, powerful, and affordable SaaS-based infrastructure & application monitoring tool for custom on-premises, cloud, and hybrid systems. By enabling quick identification of performance problems across the stack from the application, to underlying infrastructure, down to the line of code, AppOptics helps reduce MTTR. AppOptics was thoughtfully designed for simple setup and use by all IT professionals with powerful features to quickly and automatically pinpoint performance issues removing the guesswork from troubleshooting. AppOptics enables you to align infrastructure and application performance objectives side by side with business objectives.Starting Price: $9.99/host/month* -
4
Cribl Stream
Cribl
Cribl Stream allows you to implement an observability pipeline which helps you parse, restructure, and enrich data in flight - before you pay to analyze it. Get the right data, where you want, in the formats you need. Route data to the best tool for the job - or all the tools for the job - by translating and formatting data into any tooling schema you require. Let different departments choose different analytics environments without having to deploy new agents or forwarders. As much as 50% of log and metric data goes unused – null fields, duplicate data, and fields that offer zero analytical value. With Cribl Stream, you can trim wasted data streams and analyze only what you need. Cribl Stream is the best way to get multiple data formats into the tools you trust for your Security and IT efforts. Use the Cribl Stream universal receiver to collect from any machine data source - and even to schedule batch collection from REST APIs, Kinesis Firehose, Raw HTTP, and Microsoft Office 365 APIsStarting Price: Free (1TB / Day) -
5
Observe
Observe
Observe – the AI-powered observability company – is reinventing how businesses detect anomalies, troubleshoot applications, and resolve incidents to deliver exceptional customer experiences. Only Observe eliminates silos of logs, metrics, and traces by storing all data in a single, cost-efficient data lake, analyzing all telemetry data using a single language, and providing access through a single, consistent, user interface. Observe’s AI-Powered Observability enables companies to resolve software incidents three times faster at one-third the cost. Customers such as Capital One, Dialpad AI, Top Golf and more trust Observe to turn their data into actionable insights.Starting Price: $0.35 Per GiB -
6
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 -
7
Vector by Datadog
Datadog
Collect, transform, and route all your logs and metrics with one simple tool. Built in Rust, Vector is blistering fast, memory efficient, and designed to handle the most demanding workloads. Vector strives to be the only tool you need to get observability data from A to B, deploying as a daemon, sidecar, or aggregator. Vector supports logs and metrics, making it easy to collect and process all your observability data. Vector doesn’t favor any specific vendor platforms and fosters a fair, open ecosystem with your best interests in mind. Lock-in free and future proof. Vector’s highly configurable transforms give you the full power of programmable runtimes. Handle complex use cases without limitation. Guarantees matter, and Vector is clear on which guarantees it provides, helping you make the appropriate trade-offs for your use case.Starting Price: Free -
8
Elastic Observability
Elastic
Rely on the most widely deployed observability platform available, built on the proven Elastic Stack (also known as the ELK Stack) to converge silos, delivering unified visibility and actionable insights. To effectively monitor and gain insights across your distributed systems, you need to have all your observability data in one stack. Break down silos by bringing together the application, infrastructure, and user data into a unified solution for end-to-end observability and alerting. Combine limitless telemetry data collection and search-powered problem resolution in a unified solution for optimal operational and business results. Converge data silos by ingesting all your telemetry data (metrics, logs, and traces) from any source in an open, extensible, and scalable platform. Accelerate problem resolution with automatic anomaly detection powered by machine learning and rich data analytics.Starting Price: $16 per month -
9
Amazon OpenSearch Service
Amazon
Increase operational excellence by using a popular open source solution, managed by AWS. Audit and secure your data with a data center and network architecture with built-in certifications. Systematically detect potential threats and react to a system’s state through machine learning, alerting, and visualization. Optimize time and resources for strategic work. Securely unlock real-time search, monitoring, and analysis of business and operational data. Amazon OpenSearch Service makes it easy for you to perform interactive log analytics, real-time application monitoring, website search, and more. OpenSearch is an open source, distributed search and analytics suite derived from Elasticsearch. Amazon OpenSearch Service offers the latest versions of OpenSearch, support for 19 versions of Elasticsearch (1.5 to 7.10 versions), as well as visualization capabilities powered by OpenSearch dashboards and Kibana.Starting Price: $0.036 per hour -
10
OpenObserve
OpenObserve
OpenObserve is an open source observability platform for logs, metrics, and traces that emphasizes high performance, scalability, and dramatically lower cost. It supports petabyte-scale observability thanks to features like data compression using columnar storage and the ability to use “bring your own bucket” storage (local disk, S3, GCS, Azure Blob, etc.). It is written in Rust, uses the DataFusion query engine to directly query Parquet files, and provides a stateless, horizontally scalable architecture with caching (both result and disk) to maintain speed under heavy load. It embraces open standards (OpenTelemetry compatibility, vendor-neutral APIs), so it fits into existing monitoring/logging workflows. Key modules include logs, metrics, traces, frontend monitoring, pipelines, alerts, and dashboards/visualizations.Starting Price: $0.30 per GB -
11
Coralogix
Coralogix
Coralogix is the leading stateful streaming platform providing modern engineering teams with real-time insights and long-term trend analysis with no reliance on storage or indexing. Ingest data from any source for a centralized platform to manage, monitor, and alert on your applications. As data is ingested, Coralogix instantly narrows millions of events down to common patterns for deeper insights and faster troubleshooting. Machine learning algorithms continuously observe data patterns and flows between system components and trigger dynamic alerts so you know when a pattern deviates from the norm without static thresholds or the need for pre-configurations. Connect any data, in any format, and view your insights anywhere including our purpose-built UI, Kibana, Grafana, SQL clients, Tableau, or using our CLI and full API support. Coralogix has successfully completed relevant security and privacy compliances by BDO including GDPR, SOC 2, PCI, HIPAA, and ISO 27001/27701. -
12
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. -
13
IBM Databand
IBM
Monitor your data health and pipeline performance. Gain unified visibility for pipelines running on cloud-native tools like Apache Airflow, Apache Spark, Snowflake, BigQuery, and Kubernetes. An observability platform purpose built for Data Engineers. Data engineering is only getting more challenging as demands from business stakeholders grow. Databand can help you catch up. More pipelines, more complexity. Data engineers are working with more complex infrastructure than ever and pushing higher speeds of release. It’s harder to understand why a process has failed, why it’s running late, and how changes affect the quality of data outputs. Data consumers are frustrated with inconsistent results, model performance, and delays in data delivery. Not knowing exactly what data is being delivered, or precisely where failures are coming from, leads to persistent lack of trust. Pipeline logs, errors, and data quality metrics are captured and stored in independent, isolated systems. -
14
Fluent Bit
Fluent Bit
Fluent Bit can read from local files and network devices, and can scrape metrics in the Prometheus format from your server. All events are automatically tagged to determine filtering, routing, parsing, modification and output rules. Built-in reliability means if you hit a network or server outage you will be able to resume from where you left off without data loss. Rather than serving as a drop-in replacement, Fluent Bit enhances the observability strategy for your infrastructure by adapting and optimizing your existing logging layer, as well as metrics and traces processing. Furthermore, Fluent Bit supports a vendor-neutral approach, seamlessly integrating with other ecosystems such as Prometheus and OpenTelemetry. Trusted by major cloud providers, banks, and companies in need of a ready-to-use telemetry agent solution, Fluent Bit effectively manages diverse data sources and formats while maintaining optimal performance. -
15
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. -
16
Tenzir
Tenzir
Tenzir is a data pipeline engine specifically designed for security teams, facilitating the collection, transformation, enrichment, and routing of security data throughout its lifecycle. It enables users to seamlessly gather data from various sources, parse unstructured data into structured formats, and transform it as needed. It optimizes data volume, reduces costs, and supports mapping to standardized schemas like OCSF, ASIM, and ECS. Tenzir ensures compliance through data anonymization features and enriches data by adding context from threats, assets, and vulnerabilities. It supports real-time detection and stores data efficiently in Parquet format within object storage systems. Users can rapidly search and materialize necessary data and reactivate at-rest data back into motion. Tension is built for flexibility, allowing deployment as code and integration into existing workflows, ultimately aiming to reduce SIEM costs and provide full control. -
17
StackState
StackState
StackState's Topology and Relationship-Based Observability platform lets you manage your dynamic IT environment more effectively by unifying performance data from your existing monitoring tools into a single topology. Enabling you to: 1. 80% Decreased MTTR: by identifying the root cause and alerting the right teams with the correct information. 2. 65% Fewer Outages: through real-time unified observability and more planful planning. 3. 3x Faster Releases: by giving time back to developers to increase implementations. Get started today with our free guided demo: https://www.stackstate.com/schedule-a-demo
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