Best Data Observability Tools for Amazon EKS
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Compare the Top Data Observability Tools that integrate with Amazon EKS as of July 2026
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This a list of Data Observability tools that integrate with Amazon EKS. Use the filters on the left to add additional filters for products that have integrations with Amazon EKS. View the products that work with Amazon EKS in the table below.
What are Data Observability Tools for Amazon EKS?
Data observability tools help organizations monitor the health, quality, and performance of data systems throughout the entire data lifecycle. They automatically track metrics such as freshness, volume, schema changes, and anomaly detection to identify issues before they impact analytics or business processes. These tools often provide dashboards, alerts, and root-cause insights that make it easier for data engineers and analysts to troubleshoot problems quickly. Many data observability solutions integrate with data warehouses, data lakes, ETL/ELT pipelines, and BI platforms for comprehensive visibility. By improving transparency and reliability, data observability tools help teams maintain trust in their data and accelerate delivery of accurate insights. Compare and read user reviews of the best Data Observability tools for Amazon EKS currently available using the table below. This list is updated regularly.
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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 -
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NudgeBee
NudgeBee
NudgeBee is an AI Agents and Agentic Workflow platform built for SRE, CloudOps, and DevOps teams. It combines pre-built AI Assistants for incident troubleshooting, cloud cost optimization, and Kubernetes operations with a visual no-code Workflow Builder for custom automation. NudgeBee's AI engine auto-investigates alerts using a live semantic Knowledge Graph, grounded in your actual infrastructure topology. It queries data in place from existing tools (Prometheus, Datadog, Grafana, Loki) with zero data ingestion. The Workflow Builder supports 20+ action categories, native AWS/Azure/GCP CLI nodes, A2A and MCP protocol support, and human-in-the-loop approval gates. 49+ integrations. Enterprise-ready with RBAC, audit trails, BYOM (Bring Your Own Model), and self-hosted deployment. SOC-2 Type II and ISO 27001 compliant.Starting Price: $150 per month -
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Orchestra
Orchestra
Orchestra is a Unified Control Plane for Data and AI Operations, designed to help data teams build, deploy, and monitor workflows with ease. It offers a declarative framework that combines code and GUI, allowing users to implement workflows 10x faster and reduce maintenance time by 50%. With real-time metadata aggregation, Orchestra provides full-stack data observability, enabling proactive alerting and rapid recovery from pipeline failures. It integrates seamlessly with tools like dbt Core, dbt Cloud, Coalesce, Airbyte, Fivetran, Snowflake, BigQuery, Databricks, and more, ensuring compatibility with existing data stacks. Orchestra's modular architecture supports AWS, Azure, and GCP, making it a versatile solution for enterprises and scale-ups aiming to streamline their data operations and build trust in their AI initiatives.
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