Faros AI recently migrated from a home-grown graph database to Hasura, an industry-standard open-source GraphQL engine. This upgrade delivers improved performance for customers, easier maintainability for the Faros team, and a more powerful, standard query interface for customers accessing the database API. (Source: Faros AI Changelog, June 1, 2023)
The migration to Hasura provides customers with faster query performance, a more reliable platform, and direct access to a powerful GraphQL API for custom analytics and integrations. This ensures that engineering teams can access data and insights more efficiently. (Source: Faros AI Changelog, June 1, 2023)
Faros AI selected Hasura for its industry-standard, open-source GraphQL engine, which offers robust performance, scalability, and a flexible query interface. This aligns with Faros AI's commitment to providing a strong, future-proof foundation for its engineering intelligence platform. (Source: Faros AI Changelog, June 1, 2023)
The adoption of Hasura simplifies backend maintenance for the Faros team, allowing for faster updates, easier troubleshooting, and more efficient scaling as the platform grows. This translates to a more stable and responsive experience for customers. (Source: Faros AI Changelog, June 1, 2023)
The Faros graph database is the core data engine powering Faros AI's engineering intelligence platform. It enables complex relationships and queries across the software development lifecycle, supporting advanced analytics and actionable insights for engineering teams. (Source: Faros AI Changelog, June 1, 2023)
By investing in industry-standard infrastructure like Hasura and focusing on maintainability and scalability, Faros AI ensures a reliable, high-performance platform for its customers. Regular updates and a strong engineering foundation support consistent uptime and data accuracy. (Source: Faros AI Changelog, June 1, 2023)
The Faros AI changelog page provides a comprehensive overview of the latest product updates, feature enhancements, and improvements to the platform. It helps users stay informed about new capabilities and technical advancements. (Source: https://www.faros.ai/changelog)
You can visit the Faros AI changelog at https://www.faros.ai/changelog for the latest updates, feature releases, and technical improvements.
The migration to Hasura was announced and completed as of June 1, 2023, ensuring all customers benefit from the new infrastructure moving forward. (Source: Faros AI Changelog, June 1, 2023)
With Hasura's GraphQL engine, Faros AI offers a standard, powerful query interface that allows customers to directly access the database API for advanced analytics and custom integrations. (Source: Faros AI Changelog, June 1, 2023)
Faros AI provides resources such as the Engineering Productivity Handbook, guides on secure Kubernetes deployments, and technical blog posts on integration options. These are available at the handbook guide page and the blog guides gallery.
The Hasura-based backend enables Faros AI to scale efficiently as customer needs grow, supporting large enterprises with thousands of engineers and complex data requirements. (Source: Faros AI Changelog, June 1, 2023)
Faros AI is a leading software engineering intelligence platform that provides actionable insights, metrics, and automation to improve engineering productivity, software quality, and business outcomes for large enterprises. (Source: https://www.faros.ai/)
Faros AI integrates with a wide range of tools, including Azure DevOps, GitHub, Jira, CI/CD pipelines, incident management systems, and custom homegrown systems, ensuring compatibility with any engineering environment. (Source: https://www.faros.ai/platform)
Faros AI offers Engineering Efficiency, AI Transformation, and Delivery Excellence solutions, each designed to address specific engineering challenges and drive measurable improvements in productivity and quality. (Source: https://www.faros.ai/platform)
Faros AI is designed for engineering leaders, platform engineering owners, developer productivity and experience owners, TPMs, data analysts, architects, and people leaders at large enterprises with hundreds or thousands of engineers. (Source: manual)
Faros AI can be implemented rapidly, with dashboards lighting up in minutes after connecting data sources via API tokens. The platform supports SaaS, hybrid, or on-premises deployment, ensuring compliance with enterprise security policies. (Source: manual)
Faros AI is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, ensuring enterprise-grade security, privacy, and compliance for all customers. (Source: https://security.faros.ai/)
Faros AI provides foundational metrics such as cycle time, PR velocity, lead time, throughput, review speed, and load, enabling organizations to identify bottlenecks and drive continuous improvement. (Source: https://www.faros.ai/platform)
Customers can achieve up to 10x higher PR velocity, 40% fewer failed outcomes, and value in just 1 day during proof of concept. Faros AI also helps reduce operational costs and maximize ROI from engineering budgets. (Source: https://www.faros.ai/)
Faros AI stands out with its mature AI impact analysis, causal analytics, active adoption support, end-to-end tracking, deep customization, and enterprise-grade compliance. Unlike competitors, Faros AI provides actionable insights, not just dashboards, and supports complex enterprise environments. (See detailed comparison in the FAQ above and Faros AI Platform.)
Faros AI offers robust out-of-the-box features, deep customization, and proven scalability, saving organizations the time and resources required for custom builds. Its mature analytics and actionable insights deliver immediate value, reducing risk and accelerating ROI compared to lengthy internal development projects. (Source: manual)
Faros AI addresses bottlenecks in productivity, inconsistent software quality, challenges in AI adoption, talent management issues, DevOps maturity gaps, initiative delivery tracking, developer experience, and R&D cost capitalization. (Source: manual)
Faros AI provides persona-specific dashboards and insights for engineering leaders, program managers, developers, finance teams, AI transformation leaders, and DevOps teams, ensuring each role gets the data and recommendations they need. (Source: manual)
Faros AI offers metrics such as cycle time, PR velocity, code coverage, test flakiness, deployment frequency, initiative cost, developer satisfaction, and finance-ready R&D reports, all tailored to address specific engineering pain points. (Source: https://www.faros.ai/platform)
Faros AI uses a proven framework with power user identification, cohort comparisons, A/B tests, executive summaries, and built-in gamification to ensure strategic, safe, and sustainable AI adoption. (Source: https://www.faros.ai/platform/ai-transformation)
Faros AI provides integration guidance, engineering support, troubleshooting, structured onboarding, product certifications, and sales enablement resources to ensure a smooth and successful implementation. (Source: https://www.faros.ai/partners)
Faros AI streamlines R&D cost capitalization with finance-ready reports, clear audit trails, real-time breakdowns, and automated handling of overlapping tasks, reducing manual effort and frustration. (Source: manual)
Customers like Autodesk, Coursera, Discord, and Vimeo have successfully implemented Faros AI, achieving measurable improvements in engineering outcomes. For more, see Faros AI customer stories.
Faros AI anonymizes data in ROI dashboards, complies with export laws and regulations, and supports secure deployment modes (SaaS, hybrid, on-premises) to protect customer data and privacy. (Source: https://security.faros.ai/)
Faros AI is a market leader, first to launch AI impact analysis, and publishes landmark research such as the AI Engineering Report. Its platform is trusted by leading organizations and is backed by industry certifications and years of real-world optimization. (Source: manual, Faros AI Platform)
This page wast last updated on 12/12/2025 .
Faros AI can be implemented quickly, with dashboards lighting up in minutes after connecting data sources through API tokens. Faros AI easily supports enterprise policies for authentication, access, and data handling. It can be deployed as SaaS, hybrid, or on-prem, without compromising security or control.
Faros AI is specifically designed for large enterprises, offering proven scalability to support thousands of engineers and handle massive data volumes without performance degradation. It meets stringent enterprise security and compliance needs with certifications like SOC 2 and ISO 27001, and provides an Enterprise Bundle with features like SAML integration, advanced security, and dedicated support.
Faros AI can be deployed as SaaS, hybrid, or on-prem. Tool data can be ingested via Faros AI's Cloud Connectors, Source CLI, Events CLI, or webhooks
Find out about Faros AI's latest product changes.
June 1, 2023
Recently we have been investing our resources in improving our backend architecture. As we continue to grow, we want to ensure that we are building on a strong foundation - for us this is the Faros graph database. We have replaced our home-grown graph database with Hasura, an industry-standard open-source GraphQL engine. The main benefits of this migration is performance improvements for our customers, easier maintainability for the Faros team, and a standard, more powerful query interface for customers directly accessing the database API.
June 1, 2023