Dapr vs Temporal
Overview
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Detailed Comparison
It is a portable, event-driven runtime that makes it easy for developers to build resilient, stateless and stateful microservices that run on the cloud and edge and embraces the diversity of languages and developer frameworks. | It is a microservice orchestration platform which enables developers to build scalable applications without sacrificing productivity or reliability. Temporal server executes units of application logic, workflows, in a resilient manner that automatically handles intermittent failures, and retries failed operations. |
Event-driven Pub-Sub system with pluggable providers and at-least-once semantics;
Input and Output bindings with pluggable providers;
State management with pluggable data stores;
Consistent service-to-service discovery and invocation;
Opt-in stateful models: Strong/Eventual consistency, First-write/Last-write wins;
Cross platform Virtual Actors;
Rate limiting;
Built-in distributed tracing using Open Telemetry;
Runs natively on Kubernetes using a dedicated Operator and CRDs;
Supports all programming languages via HTTP and gRPC;
Multi-Cloud, open components (bindings, pub-sub, state) from Azure, AWS, GCP;
Runs anywhere - as a process or containerized;
Lightweight (58MB binary, 4MB physical memory);
Runs as a sidecar - removes the need for special SDKs or libraries;
Dedicated CLI - developer friendly experience with easy debugging;
Clients for Java, Dotnet, Go, Javascript and Python | Microservice orchestration platform;
Open Source;
Enables developers to build scalable applications;
A mature technology |
Statistics | |
GitHub Stars 25.2K | GitHub Stars 16.4K |
GitHub Forks 2.0K | GitHub Forks 1.2K |
Stacks 96 | Stacks 43 |
Followers 336 | Followers 35 |
Votes 9 | Votes 0 |
Pros & Cons | |
Pros
Cons
| No community feedback yet |
Integrations | |
What are some alternatives to Dapr, Temporal?
Airflow
Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
Istio
Istio is an open platform for providing a uniform way to integrate microservices, manage traffic flow across microservices, enforce policies and aggregate telemetry data. Istio's control plane provides an abstraction layer over the underlying cluster management platform, such as Kubernetes, Mesos, etc.
GitHub Actions
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Azure Service Fabric
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Apache Beam
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Moleculer
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Zenaton
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Express Gateway
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ArangoDB Foxx
It is a JavaScript framework for writing data-centric HTTP microservices that run directly inside of ArangoDB.
Luigi
It is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
