Best Data Management Software for AWS Fargate
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Compare the Top Data Management Software that integrates with AWS Fargate as of October 2025
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This a list of Data Management software that integrates with AWS Fargate. Use the filters on the left to add additional filters for products that have integrations with AWS Fargate. View the products that work with AWS Fargate in the table below.
What is Data Management Software for AWS Fargate?
Data management software systems are software platforms that help organize, store and analyze information. They provide a secure platform for data sharing and analysis with features such as reporting, automation, visualizations, and collaboration. Data management software can be customized to fit the needs of any organization by providing numerous user options to easily access or modify data. These systems enable organizations to keep track of their data more efficiently while reducing the risk of data loss or breaches for improved business security. Compare and read user reviews of the best Data Management software for AWS Fargate currently available using the table below. This list is updated regularly.
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IBM Instana
IBM
IBM Instana is the gold standard of incident prevention with automated full-stack visibility, 1-second granularity and 3 seconds to notify. With today’s highly dynamic and complex cloud environments, the average cost of an hour of downtime can reach six figures and beyond. Traditional application performance monitoring (APM) tools simply aren’t fast enough to keep up or thorough enough to contextualize the issues identified. Also, they are typically limited to super users who must complete months of training to learn. IBM Instana Observability goes beyond traditional APM solutions by democratizing observability so anyone across DevOps, SRE, platform engineering, ITOps and development can get the data they want with the context they need. Instana Dynamic APM operates using the Instana agent architecture, which incorporates sensors—lightweight, automated programs tailored to monitor specific entities.Starting Price: $75 per month -
2
Sedai
Sedai
Sedai is an autonomous cloud management platform powered by AI/ML delivering continuous optimization for cloud operations teams to maximize cloud cost savings, performance and availability at scale. Sedai enables teams to shift from static rules and threshold-based automation to modern ML-based autonomous operations. Using Sedai, organizations can reduce cloud cost by up to 50%, improve performance by up to 75%, reduce failed customer interactions (FCIs) by 75% and multiply SRE productivity by up to 6X for their modern applications. Sedai can perform work equivalent to a team of cloud engineers working behind the scenes to optimize resources and remediate issues, so organizations can focus on innovation.Starting Price: $10 per month -
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Arroyo
Arroyo
Scale from zero to millions of events per second. Arroyo ships as a single, compact binary. Run locally on MacOS or Linux for development, and deploy to production with Docker or Kubernetes. Arroyo is a new kind of stream processing engine, built from the ground up to make real-time easier than batch. Arroyo was designed from the start so that anyone with SQL experience can build reliable, efficient, and correct streaming pipelines. Data scientists and engineers can build end-to-end real-time applications, models, and dashboards, without a separate team of streaming experts. Transform, filter, aggregate, and join data streams by writing SQL, with sub-second results. Your streaming pipelines shouldn't page someone just because Kubernetes decided to reschedule your pods. Arroyo is built to run in modern, elastic cloud environments, from simple container runtimes like Fargate to large, distributed deployments on the Kubernetes logo Kubernetes.
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