Temporal Technologies is a platform for orchestrating distributed systems and automating business processes. It keeps workflow state durable so long-running tasks can continue and recover after hardware or network failures without losing data.
Key capabilities
- Durable execution for long-running workflows
- Automatic retries and recovery after errors
- Workflow state persistence for consistent progress
- Scaling support for distributed applications
- SDK support across multiple programming languages
Integrations and requirements
To use Temporal, you run a Temporal server and connect via a client library for your chosen language. It can be deployed in cloud or on-prem environments.
- Supported languages: Go, Java, TypeScript, Python
Typical use cases
- Microservices orchestration
- Task pipelines and chained automation
- Transaction processing
- Managing long-lived processes that must survive failures
Pros and cons
- Pros: high reliability, automated retries, scalability, multi-language support
- Cons: requires upfront architecture learning, limited external service integrations
