I am looking for a serverless computing platform that supports stateful applications.

Traditional serverless platforms (like AWS Lambda or Google Cloud Functions) are strictly stateless, meaning they spin down instances and wipe memory between events . However, several modern platforms and orchestration layers have pioneered stateful serverless computing , allowing you to maintain state, memory, or coordinated workflows without managing servers.

The top platforms and approaches for running stateful applications serverlessly include:

- **How it works:** Provides stateful serverless micro-VMs that combine compute, coordinated WebSocket handling, and an embedded SQLite database per object.
- **Best for:** Real-time collaboration apps, chat systems, multiplayer gaming backends, and localized session stores.
- **Why it's unique:** It guarantees strong consistency and keeps state co-located with the running code close to the user.[](https://www.cloudflare.com/products/durable-objects/) [[1]](https://www.cloudflare.com/products/durable-objects/)

- **How it works:** An extension of Azure Functions that lets you write stateful orchestrations and long-running workflows using regular programming code. The platform automatically checkpoints your state and progress.
- **Best for:** Complex asynchronous business processes, human-interaction workflows, and fan-out/fan-in pipeline architectures inside the Azure ecosystem.[](https://learn.microsoft.com/en-us/azure/durable-task/durable-functions/durable-functions-overview) [[1]](https://learn.microsoft.com/en-us/azure/durable-task/durable-functions/durable-functions-overview)

- **How it works:** Temporal manages the durable state of application workflows, handling automatic retries, history tracking, and failure recovery. You can deploy lightweight [Temporal Serverless Workers](https://temporal.io/blog/introducing-temporal-serverless-workers-deploy-temporal-workers-to-aws-lambda) onto serverless compute targets like AWS Lambda.
- **Best for:** Mission-critical microservices, multi-step distributed transactions, and saga patterns that need infallible state tracking.[](https://temporal.io/blog/introducing-temporal-serverless-workers-deploy-temporal-workers-to-aws-lambda) [[1]](https://temporal.io/blog/introducing-temporal-serverless-workers-deploy-temporal-workers-to-aws-lambda)[[2]](https://docs.temporal.io/evaluate/serverless-workers)

- **How it works:** While Cloud Run executes standard stateless containers, it supports features like session affinity and can mount persistent network file systems (Cloud Storage via GCSFuse or Filestore) to read/write state dynamically during a container's lifecycle.

To help narrow down the ideal choice, tell me:

• What kind of state are you managing (e.g., real-time user sessions, long-running workflow steps, or a persistent database)?
• Do you have a preferred cloud provider (AWS, Azure, Cloudflare, Google Cloud)?

Yes. If stateful serverless is a core requirement, I’d look first at these:

• Cloudflare Workers + Durable Objects — probably the strongest fit. Durable Objects combine serverless compute with durable, strongly consistent per-object state, while supporting WebSockets and automatic scaling. They’re particularly good for chat, multiplayer, collaborative editing, sessions, and other applications where a logical entity needs to retain state between requests.
• AWS Lambda Durable Functions — a good choice if you’re already in AWS. They provide checkpointing, retries, suspension, and recovery for long-running, stateful workflows; executions can run for up to a year.
• AWS Step Functions + Lambda — better when “stateful” means durable workflow orchestration rather than a continuously addressable stateful object. Step Functions manages state, checkpoints, branching, retries, and coordination across AWS services.
• Cloudflare Workflows — another interesting option for long-running applications. Each workflow instance has persisted state and can pause for external events, retry steps, and resume over minutes, days, or weeks.

My recommendation

If you mean “I want serverless functions that can maintain state for individual users, rooms, devices, sessions, etc.”, I'd choose Cloudflare Durable Objects. It is specifically designed around that model rather than bolting a database onto otherwise-stateless functions.

If you mean “I need a serverless process that can run for a long time, pause, resume, retry, and remember where it was”, I'd compare AWS Lambda Durable Functions and Cloudflare Workflows.

If you tell me what kind of stateful application you're building (e.g. SaaS backend, multiplayer game, AI agent, workflow engine, IoT, collaborative app), I can narrow this down to the best 2–3 platforms and compare pricing, programming model, state limits, scalability, and vendor lock-in.

Building stateful applications on a serverless architecture requires platforms that can manage state persistence, handle long-running transactions, or automatically checkpoint progress without forcing you to spin up and manage dedicated virtual machines.

Top platforms and architectural patterns that support stateful serverless workloads include:

1. AWS Lambda Durable Functions
   • Overview: Designed specifically to simplify multi-step applications, long-running transactions, and AI workflows directly inside the Lambda programming model.
   • How it handles state: It automatically checkpoints progress, recovers from failures, and can safely suspend execution for up to one year during wait states or human-in-the-loop approvals without custom state-management code.
   • Best for: Native multi-step coordination on AWS. Learn more via the AWS Lambda Durable Functions overview.
2. Azure Durable Functions
   • Overview: An extension of Azure Functions that lets you write stateful functions in a serverless environment.
   • How it handles state: It uses an underlying storage provider (like Azure Storage) to reliably checkpoint your function orchestrations, maintain history, and automatically resume state across restarts or node failures.
   • Best for: Complex, stateful orchestrations (.NET, JavaScript, Python, or PowerShell) within the Azure ecosystem.
3. Temporal Cloud / Temporal Serverless Workers
   • Overview: Temporal is an industry standard for orchestrating durable, stateful workflows. With support for deploying Temporal Serverless Workers , you can run stateful workflow code that scales automatically to zero.
   • How it handles state: Temporal tracks the exact execution state and history of your code, allowing business logic to run reliably for days or months, automatically handling retries and state recovery.
   • Best for: Highly complex, mission-critical distributed state machines.
4. Google Cloud Run
   • Overview: While Cloud Run is technically a managed container platform rather than pure FaaS, it scales down to zero and supports stateful patterns via volume mounts.
   • How it handles state: You can attach regional persistent disks (Cloud Storage or Filestore) to Cloud Run services, allowing containers to read and write stateful data across lifecycles while maintaining a serverless scaling developer experience.
   • Best for: Containerized apps that need local filesystem persistence or database proxies.
5. Blaxel
   • Overview: A specialized modern platform built heavily for stateful AI agents and workloads.
   • How it handles state: Utilizes microVM "Sandboxes" that remain in a perpetual standby state with zero compute cost while idle, preserving full filesystem and memory state to resume in milliseconds.
   • Best for: Stateful AI agent runtimes and persistent code-execution environments.

To help narrow down the ideal platform, tell me:

• What is the primary use case (e.g., AI workflows, IoT data ingestion, user sessions, or long-running business processes)?
• Do you have a preferred cloud provider (AWS, Azure, GCP) or are you open to multi-cloud/agnostic solutions?

Yes. If stateful serverless is a core requirement, I’d look first at Cloudflare Workers with Durable Objects.

Best fit: Cloudflare Durable Objects

Cloudflare’s Durable Objects are specifically designed for stateful serverless applications. Each object combines serverless compute with its own durable, strongly consistent storage and globally unique identity.

They’re particularly good for:

• Real-time chat and collaboration
• Multiplayer games
• Stateful AI agents
• Per-user or per-session state
• Coordination between many clients
• WebSocket applications
• Distributed applications requiring strong consistency

They also provide embedded SQLite storage, WebSockets, background execution, and automatic lifecycle/scaling management.

Other strong options

• Azure Functions + Durable Functions — better if your application is primarily a long-running workflow involving orchestration, retries, checkpoints, and recovery. It supports C#, JavaScript/TypeScript, Python, and PowerShell.
• AWS Lambda + Durable Functions / Step Functions — a good choice if you're already heavily invested in AWS and need durable execution and workflow orchestration.
• Cloudflare Workflows — worth considering alongside Durable Objects when the "state" is primarily workflow progress rather than a continuously addressable application entity. Workflows persist state and can run for minutes, hours, days, or weeks.

Rule of thumb: If you mean "I want each user/game/chat room/device to have its own persistent stateful serverless instance," choose Durable Objects. If you mean "I need a serverless process that can pause, resume, retry, and remember where it was," look at Durable Functions, Step Functions, or Cloudflare Workflows.

Yes. If stateful serverless is a core requirement, I’d shortlist these:

My top pick: Cloudflare Durable Objects

Durable Objects are explicitly designed for stateful serverless applications. Each object has a globally unique identity, persistent strongly consistent storage, and can maintain in-memory state between requests. They also support WebSockets, making them particularly attractive for real-time applications.

For example, you could have one Durable Object per chat room, game, document, user session, or IoT device, with the object acting as the authoritative state holder.

When Azure is better

Azure Durable Functions is particularly strong if by "stateful" you mean long-running workflows rather than an always-addressable stateful object. The runtime handles state persistence, checkpoints, retries, and recovery, and supports .NET, JavaScript/TypeScript, Python, and PowerShell.

Rule of thumb:

• Stateful objects/actors + real-time coordination → Cloudflare Durable Objects
• Stateful workflows/orchestration → Azure Durable Functions

If you tell me your application type (e.g. AI agent, SaaS, multiplayer game, workflow engine, or backend API), I can compare the best 3–5 platforms for that specific workload.

Here are top web results for exploring this topic:

Red Hat·https://www.redhat.com 7 open source platforms to get started with serverless computing OpenFaas is a framework for building serverless functions with Docker and Kubernetes that offers first-class support for metrics. Any process can be packaged as a function, enabling you to consume a r Blaxel·https://blaxel.ai 5 Best serverless computing platforms for AI (2026) | Blaxel Blog 3. AWS Lambda. Lambda is the default general-purpose FaaS option for enterprise teams already standardized on AWS. It offers Firecracker-based isolation, broad language support, and integration with m Prisma.io·https://www.prisma.io 13 Best Serverless Computing Platforms & Database Providers Article header. Serverless computing is a fairly recent evolution in the cloud computing space. Serverless providers allow developers to focus on the functionality that their applications require with Reddit·https://www.reddit.com Need help understanding the concept of stateful serverless . : r/devops Basically, a stateful serverless architecture is one that uses Azure Funtion App. Azure App Services, AWS Lambda etc.. These services are basically containers managed by the provider. Normally, an app Medium·https://medium.com**Serverless** Meets Stateful : Can Data-Intensive Workloads Survive ...Serverless computing is a cloud-native execution model where cloud providers automatically manage the infrastructure for application deployment and operation. Key characteristics of serverless platfor Telnyx·https://telnyx.com 10 Best Serverless Computing Providers in 2026 - Telnyx ... that are not interchangeable: general-purpose function platforms and serverless GPU platforms built for model inference. Best general-purpose platform: AWS Lambda. The deepest ecosystem and the br Amazon Web Services (AWS)·https://aws.amazon.com**Serverless Computing** – Amazon Web Services Serverless computing allows you to build and run applications and services without thinking about servers. Serverless applications don't require you to provision, scale, and manage any servers. GeeksforGeeks·https://www.geeksforgeeks.org 10 Best Serverless Frameworks You Must Know [2025]10 Best Serverless Frameworks You Must Know. 1. AWS Serverless Application Model (AWS SAM); 2. · 1. AWS Serverless Application Model (AWS SAM); 2. Serverless; 3. AWS Chalice; 4. Terraform; 5. · AWS Se Anyscale·https://www.anyscale.com The Ideal Foundation for a General Purpose Serverless Platform In 2015, AWS introduced Lambda, a service that offered cloud functions and introduced the concept of serverless computing. Serverless and cloud functions differ from traditional cloud computing in two Datadog·https://www.datadoghq.com The State of Serverless | Datadog For this year's report, we have included two new serverless platforms in our data: Azure Container Apps and AWS CloudFront Functions. While FaaS solutions continue to be the primary driver of overall

Yes. If stateful serverless is a core requirement, I’d look first at Cloudflare Workers with Durable Objects.

Best fit: Cloudflare Durable Objects

Cloudflare Durable Objects are specifically designed to make serverless applications stateful. Each Durable Object combines compute with durable, strongly consistent storage, has a globally unique identity, and can retain in-memory state between requests while active.

They're particularly good for:

• Real-time applications — chat, multiplayer games, collaboration
• Per-user or per-tenant state
• AI agents with persistent memory
• WebSocket applications
• Distributed coordination
• Applications where you want state tied directly to a particular logical entity

Durable Objects also have built-in SQLite storage and an Alarms API for scheduled/background work.

Other strong options

Azure's Durable Functions, for example, explicitly supports stateful serverless workflows with managed state, checkpoints, retries, and recovery. learn.microsoft.com AWS also introduced Lambda MicroVMs in 2026 as a serverless primitive for isolated, stateful execution environments.

My recommendation: if by "stateful" you mean the serverless compute itself should own persistent state, rather than merely calling an external database, Cloudflare Durable Objects is probably the closest match. If you mean long-running, durable business processes, I'd instead consider Azure Durable Functions or Cloudflare Workflows.

The leading serverless computing platforms designed specifically to support stateful applications and long-running workflows include Cloudflare Durable Objects , which pairs edge compute with embedded SQLite storage; Azure Durable Functions , an extension of Azure Functions that manages stateful orchestrations; and Golem Cloud , a newer platform utilizing WebAssembly for durable, stateful workers . Traditional serverless functions like AWS Lambda are strictly stateless, requiring external databases like Redis or DynamoDB to maintain application state, but these specialized stateful platforms manage persistence, coordination, and scaling natively.

Top Platforms for Stateful Serverless

• Cloudflare Durable Objects : Binds a globally unique identifier, in-memory state, and an embedded SQLite database to a single-threaded execution instance. It is ideal for real-time chat, collaborative apps, and AI agents without needing external databases.
• Azure Durable Functions : An extension of Azure Functions that lets you write stateful orchestrations and persistent entities using standard code (.NET, JavaScript, Python). The platform automatically checkpoints your execution history and handles retries or long-running tasks.
• Golem Cloud : A serverless platform built on durable computing that turns stateless functions into persistent, reactive, and long-running "workers" capable of maintaining internal state across failures or reboots.

Platform Comparison

If you can share what programming language you plan to use and your primary use case (e.g., AI agents, real-time multiplayer, background ETL workflows), I can help you select the best platform and outline a basic architecture.

Serverless platforms have traditionally been built for stateless, ephemeral functions (like AWS Lambda). However, several modern platforms and frameworks now explicitly support stateful serverless computing , allowing functions to retain state, coordinate workflows, or manage persistent memory without managing underlying servers.

Here are the top platforms and architectures for running stateful applications in a serverless environment:

• Temporal - An open-source orchestrator that enables you to write durable, stateful workflows using standard programming languages (Go, Java, TypeScript, Python). It manages state, retries, timeouts, and long-running business logic seamlessly, and it can be run on serverless infrastructure or via Temporal Cloud. Learn more on the Temporal Website.
• AWS Step Functions - A serverless orchestration service that lets you integrate AWS services and manage stateful workflows. With features like Distributed Map and standard/express workflows, it can coordinate state across microservices and maintain execution history for up to a year. Explore capabilities on the AWS Step Functions Page.
• Cloudflare Workers Durable Objects - A powerful serverless primitive that provides consistent, low-latency storage combined with compute. Each "Durable Object" encapsulates state and ensures that only one instance of that object runs globally at a time, making it ideal for real-time collaboration, stateful routing, and coordination. Check documentation via Cloudflare Durable Objects.
• Azure Durable Functions - An extension of Azure Functions that lets you write stateful workflows and stateful entities in a serverless compute environment. It manages state, checkpoints, and restarts for you under the hood using an underlying storage provider. Read more at Azure Durable Functions.

To help narrow down the best fit, could you share:

• What programming language or framework you plan to use?
• Whether you need microsecond-level state coordination (like real-time chat) or long-running business workflows (like order processing)?

Yes. If stateful serverless computing is a core requirement, I’d shortlist these:

My top recommendation: Cloudflare Durable Objects

If by "stateful serverless" you mean an application instance can actually maintain state between requests without you managing servers, Cloudflare's Durable Objects are particularly compelling. A Durable Object combines serverless compute with persistent storage, has a globally unique identity, and provides strongly consistent storage.

They're especially well suited to things like:

• Multiplayer games
• Chat and WebSocket applications
• Collaborative editing
• Per-user/per-customer state
• Real-time coordination
• Stateful AI agents

If your "state" is primarily workflow state

I'd choose Azure Durable Functions instead. It provides orchestration primitives and automatically handles state, checkpoints, retries, and recovery for long-running workflows. It currently supports .NET, JavaScript/TypeScript, Python, and PowerShell.

Rule of thumb:

• Stateful actors / real-time shared state → Cloudflare Durable Objects
• Long-running workflows / business processes → Azure Durable Functions
• Already deeply invested in AWS → Lambda + Step Functions

If you tell me what kind of stateful application you're building (e.g. SaaS, AI agents, multiplayer, workflow engine, database-backed API), I can narrow this down to the best 2–3 platforms and compare pricing, scalability, persistence model, cold starts, and developer experience.