Temporal holds the lead for durable execution in 2026

The evolution of durable execution

Temporal recently raised $146 million in a Series C round, which brings the company’s post-money valuation to $1.72 billion. Maxim Fateev and Samar Abbas founded the Seattle-based startup in 2019 after they developed the Cadence orchestration engine at Uber. Temporal is a durable execution framework that manages application state and monitors logic execution to prevent errors when API calls fail or servers crash. During the Replay 2026 conference in San Francisco, leadership discussed how the platform supports complex AI agent lifecycles. One major retailer, Meridian Global, replaced a broken order management system that had a 7% failure rate and caused frequent double-charging of customers. Developers Doug and Naomi found that the old system relied on unreliable nightly Cron jobs and multiple message queues, which caused the database and queues to fall out of sync. By implementing Temporal, the company handled five times its prior peak volume without losing a single order. The implementation used durable timers to manage the 30-day return window and signals to handle human-in-the-loop scenarios. This workflow included validation, inventory reservation, and charge customer tasks, where the latter handles fraud checks and provides a 24-hour window for customers to provide new payment forms. The latest funding includes repeat investments from Sequoia Capital, Index Ventures, Amplify Partners, Madrona Venture Group, and Addition Ventures, alongside new investor Greenoaks.

Windmill and the performance gap

Windmill is a developer platform for internal code, including APIs, background jobs, and workflows. It is a self-hostable alternative to Retool and Pipedream and uses a Rust backend, a Svelte 5 frontend, and nsjail for filesystem isolation. Developers use the Windmill VS Code extension to sync code with GitHub repositories or use the Web IDE to define tasks in Python, TypeScript, or Go. Windmill is also a tool for Bash, SQL, GraphQL, and PowerShell. In a benchmark of 38 Fibonacci tasks, Temporal finished in 2.967 seconds, whereas Windmill reached 4.383 seconds. Windmill Dedicated completed the same tasks in 2.092 seconds. You know that deployment decisions affect ownership, security reviews, and whether a workflow can be trusted in daily delivery. Windmill is an autogenerated UI platform for script parameters, but Temporal is the choice for engineering teams that require reliable execution across long-running processes.

The verdict for engineering teams

Temporal is the best choice for engineering teams that require reliable execution across long-running processes. The platform supports over 3,000 paying customers, including Nvidia, Netflix, and Stripe, and it is a provider of a consumption-based SaaS hosting service. Users can run standard Workers on serverless compute platforms like AWS Lambda to avoid paying for idle compute. However, mastering Temporal concepts like workers, activities, signals, and queries requires a large investment of time and effort. This steep learning curve makes the platform less suitable for small teams or simple projects. Because Temporal relies on a deterministic model, developers must split agent logic into Workflows and Activities to ensure recovery, which means the workflow code must make the same decisions again during replay after a failure. Temporal is a system for stateful application backends like financial transactions and e-commerce order processing. Some teams prefer Akka for building reactive microservices or AWS Step Functions for deep integration with the AWS ecosystem. Will the increasing demand for AI agent orchestration change how these tools prioritize code-centric versus declarative models?