Sold by: Temporal Technologies
Deployed on AWS
Temporal Cloud is a fully managed durable execution platform on AWS for building reliable, long-running workflows without managing orchestration infrastructure.
4.5
Overview
Temporal Cloud helps teams build fault-tolerant applications on AWS by persisting workflow state, recovering automatically from failures, and coordinating long-running processes in code. Instead of wiring together retries, timers, queues, and recovery logic across microservices and APIs, teams define workflows once and let Temporal preserve progress at every step. If a service crashes, a dependency times out, or a process pauses for minutes, hours, or days, execution resumes from the last durable state rather than starting over.
This gives engineering teams a different way to build distributed systems on AWS. Rather than spreading orchestration logic across many services, Temporal centralizes workflow execution and state management, making complex processes easier to reason about, operate, and evolve over time. Teams can reduce bespoke coordination code, improve visibility into in-flight work, and build reliable applications without repeatedly re-implementing failure handling for each service boundary.
As a fully managed service, Temporal Cloud handles the Temporal service infrastructure, persistence layer, scaling, and availability, while your workers continue to run in your own environment. Data is encrypted in transit, and Temporal Cloud does not execute your business logic, giving teams the operational benefits of a managed service while retaining control of their runtime environment. That gives teams the operational benefits of a managed service without changing where business logic executes. Temporal Cloud also follows the same application model as open-source Temporal, making it easier to adopt a managed deployment path without changing how workflows are built.
Temporal Cloud on AWS is available in 12+ AWS regions and is designed for demanding production workloads with strong security and privacy expectations. It supports modern application patterns including microservices coordination, event-driven architectures, and long-running business processes that must complete reliably across interruptions.
Temporal is also increasingly used for AI and agentic workloads on AWS, where multi-step flows need durable state, retries, recovery, and coordination to operate reliably in production. This includes adding resilience to Bedrock-based architectures and other agentic systems that need to move beyond prototype behavior into production-grade execution.
Customers can get started quickly through AWS Marketplace with pay-as-you-go billing, a free trial offer, and up to $150 in free Temporal Cloud credits. Temporal leverages the AWS Standard Contract for Marketplace (SCMP), helping streamline procurement for AWS customers.
Highlights
- Strong fit for AI workflows on AWS: add resilience and recovery to multi-step AI and agentic applications, including Bedrock-based architectures.
- Write workflows as code using Temporal SDKs for Go, Java, TypeScript, Python, .NET, Ruby or PHP.
- Ultimate scale & availability with consumption-based pricing: performance-tested to process over 450,000+ actions* per second. Our success is tied to developer value - only pay for what you use! Sign up and automatically start with a free trial. *Actions are billable operations within Temporal Cloud, such as starting Workflows, recording a Heartbeat or sending messages. Learn more about our pricing at https://temporal.io/pricing
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Deployed on AWS
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
Consumption | $0.01 |
Dimensions summary
You pay based on a single usage dimension called Consumption, billed in Units. This is a pay-as-you-go model, so your cost tracks your actual activity rather than a fixed subscription. Usage combines several factors, including Actions (billable operations between your application and Temporal Cloud), Active and Retained storage, capacity, and support level. As your workloads grow, your Consumption Units rise accordingly. There are no separate seats or instance sizes to select. You commit to no upfront quantity; charges accrue as you run workflows on the managed service.
Top-of-mind questions for buyers
An Action is a billable operation between your application and Temporal Cloud. When you write workflow logic using the open-source SDKs, the Temporal Service maps your Workflow Events to Actions to track usage. Actions are counted per million and form one part of your total Consumption Units.
Consumption combines Actions, capacity, storage, and a plan fee. Action volume tends to drive cost for high-throughput workflows. Storage charges dominate when you keep large event histories, since Active storage holds open workflows and Retained storage holds closed ones. These charges apply together on one bill.
By default, Namespaces run in On-Demand mode. Capacity scales automatically based on your past 7-day usage, starting at 500 Actions per second. You can switch to Provisioned mode and set capacity using Temporal Resource Units. Each unit adds 500 Actions per second and a base amount of Actions per hour.
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Vendor refund policy
This is a pay as you go service. You will be invoiced based on your usage. For more information, visit temporal.io/terms-of-service
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Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Customer reviews
Sai Teja A.
Great UI/UX, Easy Integration, and Clear Onboarding
Reviewed on Oct 18, 2026
Review provided by G2
What do you like best about the product?
It has great UI/UX, support to Temporal AI, easily integrated. Perfomance and pricing are consistent, clear instructions for onboarding and support.
What do you dislike about the product?
Nothing more as I encountered yet. Should dive deep to find some things I don't like.
What problems is the product solving and how is that benefiting you?
It solves the problem having the durable executable platform run on your local/hosted machines
manish L.
Easy to Switch Between Self-Hosted and Temporal Cloud with Minimal Changes
Reviewed on Oct 18, 2026
Review provided by G2
What do you like best about the product?
The application code doesn’t really care where the server is hosted. We ran the same worker and workflow against our self-hosted server and against Temporal Cloud, and the only change we needed was in the connection settings.
Getting started with self-hosting was quick. The auto-setup image created its schema in the Postgres instance we already had (two databases, 39 tables in the main one and 3 for visibility, about 19 MB after a few runs), and the Web UI came up alongside it in its own container.
Temporal Cloud, on the other hand, describes itself through its Ops API: a regional gRPC address for API keys, a separate host for mTLS, the web address, and a limit of 500 actions per second on the namespace. We configure our workers based on that information and nothing else.
Getting started with self-hosting was quick. The auto-setup image created its schema in the Postgres instance we already had (two databases, 39 tables in the main one and 3 for visibility, about 19 MB after a few runs), and the Web UI came up alongside it in its own container.
Temporal Cloud, on the other hand, describes itself through its Ops API: a regional gRPC address for API keys, a separate host for mTLS, the web address, and a limit of 500 actions per second on the namespace. We configure our workers based on that information and nothing else.
What do you dislike about the product?
Distance is the first thing you notice. A single TCP round trip from our machine to us-west-2 took about 370 ms, so a ten-step workflow ended up taking 6.5 to 7.2 seconds on Temporal Cloud, versus about 0.3 seconds on our local server. In practice, each step costs roughly two round trips.
The fastest path to self-hosting, the auto-setup image, tops out at server version 1.29.7, while the server itself is already at 1.32. For a production setup, that means using the plain server image, plus separate schema tooling and upgrades that we have to run ourselves.
Temporal Cloud reports its server version only as “cloud,” so trying to compare behavior against a specific self-hosted version becomes mostly guesswork.
The fastest path to self-hosting, the auto-setup image, tops out at server version 1.29.7, while the server itself is already at 1.32. For a production setup, that means using the plain server image, plus separate schema tooling and upgrades that we have to run ourselves.
Temporal Cloud reports its server version only as “cloud,” so trying to compare behavior against a specific self-hosted version becomes mostly guesswork.
What problems is the product solving and how is that benefiting you?
We had to choose between running Temporal ourselves or paying for the cloud offering, and running both side by side made the decision clear. Self-hosting is inexpensive for development, but it also means the database, upgrades, and the on-call rotation are all on us. The cloud option takes those responsibilities off our plate, but for now it adds latency until our namespace is available in a closer region.
Manish L.
Update Endpoints and Built-In Idempotency Made Approvals Fast and Reliable
Reviewed on Oct 18, 2026
Review provided by G2
What do you like best about the product?
I wasn’t sure I’d actually need the update features until I tried them. The approve endpoint can send an update to the running workflow and return the result in the same HTTP request, so the API can reply “approved by ” instead of “accepted, check back later.” The validator also runs before anything is written. When an intern tried to approve, the update was rejected with my own message (“only ops accounts can approve orders”); I mapped that to a 429, and the attempt never showed up in the workflow history.
Idempotency is just a start option, not a table I have to maintain. I build the workflow ID from the client’s idempotency key and tell Temporal to reuse the existing run on a conflict, so a retried POST came back with the same workflow and the same run ID.
Idempotency is just a start option, not a table I have to maintain. I build the workflow ID from the client’s idempotency key and tell Temporal to reuse the existing run on a conflict, so a retried POST came back with the same workflow and the same run ID.
What do you dislike about the product?
The docs and samples lean heavily toward scripts. For a web app, it’s not very clear where you’re supposed to create the client or how to share it across requests, so I had to work that out myself (FastAPI’s lifespan hook works fine).
Latency also adds up when the namespace is far away. Starting an order took about 330 ms, and every step inside the workflow costs a round trip to the US West Coast. Also, a rejected update leaves no trace in history, which is correct, but if you want an audit trail of refused approvals you’ll need to log those yourself.
Latency also adds up when the namespace is far away. Starting an order took about 330 ms, and every step inside the workflow costs a round trip to the US West Coast. Also, a rejected update leaves no trace in history, which is correct, but if you want an audit trail of refused approvals you’ll need to log those yourself.
What problems is the product solving and how is that benefiting you?
Order handling used to mean reserving stock, then waiting up to an hour for a human to approve it, then charging and shipping. Before, that translated into a bunch of status columns, a job polling the table, and retry logic duplicated in three different places. Now the workflow is the state machine: the API simply starts it, queries it for where things stand, and nudges it forward when needed.
Sidharth K.
temporal cloud simplifies distributed workflows with strong visibility and recovery
Reviewed on Oct 18, 2026
Review provided by G2
What do you like best about the product?
I enjoy that Temporal Cloud manages distributed tasks and complex workflows more gracefully than custom retry logic. The SDKs, visibility into workflows, and failure recovery features are good for building the backend. The UI is convenient for troubleshooting execution histories, and integrations into existing services help teams deal with asynchronous work and keep the system healthy.
What do you dislike about the product?
The steep learning curve at first, particularly in understanding workflow determinism and replay mode. UI could be more transparent in some debugger features, keep an eye on price with more flow activity in the workflows. Support is great, but may need to dig into architecture a little further.
What problems is the product solving and how is that benefiting you?
Temporal Cloud takes the pain out of distributed workflow management, retries, timeouts, and failure recovery. Temporal helps me spend less time wiring up custom orchestration code, and more on developing product features. It is performant enough for dependable backend processing, and integrations and AI workflow orchestration enable complex automation without compromising control over execution.
Ramesh S.
Temporal Cloud Makes Workflow Execution Tracking and Failure Root-Cause Analysis Easy
Reviewed on Oct 18, 2026
Review provided by G2
What do you like best about the product?
Tracking the flow of task execution between systems is useful when evaluating business processes. Temporal Cloud offers execution history and retry management in workflows which can help your technical team follow execution and identify the root causes of failures. I find these features helpful when clarifying process needs for developers, identifying holes in execution, and understanding how to make complex workflows more fault tolerant.
What do you dislike about the product?
It takes a little while to get started, because you need a deeper understanding of activities, workflow orchestration, and retry policies. It would help to have more visual examples of typical business flows and clearer instructions for nontechnical groups to review the workflow design and describe their requirements.
What problems is the product solving and how is that benefiting you?
Business processes that span multiple services can be hard to troubleshoot when individual steps fail. Temporal Cloud enables communication of these workflows, along with visibility into how they execute. This allows analysis of business process, clearer communication between business and technical teams, and more informed decision making about opportunities to improve operational reliability and reduce manual effort.