IronWorker vs Upstash
Overview
🔥 Trending in Serverless on StackShare
Detailed Comparison
IronWorker provides the muscle for modern applications by efficiently isolating the code and dependencies of individual tasks to be processed on demand. Run in a multi-language containerized environment with streamlined orchestration, IronWorker gives you the flexibility to power any task in parallel at massive scale. | It provides Serverless Redis and Kafka as a service. With per request pricing, you pay only for what you use. You can use any Redis/Kafka clients. The built-in REST API enables use cases with serverless and edge functions. |
Containerized environment;High-scale processing;Flexible scheduling;Reliable and secure;Detailed monitoring and configuration;Multiple language support | Serverless data for Redis®;
Serverless data for Kafka®;
Per-request pricing with cap;
Global low latency |
Statistics | |
Stacks 39 | Stacks 35 |
Followers 17 | Followers 10 |
Votes 0 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
| No integrations available | |
What are some alternatives to IronWorker, Upstash?
AWS Lambda
AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.
Azure Functions
Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.
Google Cloud Run
A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.
Serverless
Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.
Google Cloud Functions
Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running
Knative
Knative provides a set of middleware components that are essential to build modern, source-centric, and container-based applications that can run anywhere: on premises, in the cloud, or even in a third-party data center
Redis To Go
Redis To Go was created to make the managing Redis instances easier, whether it is just one instance or serveral. Deploying a new instance of Redis is dead simple, whether for production or development.
OpenFaaS
Serverless Functions Made Simple for Docker and Kubernetes
Nuclio
nuclio is portable across IoT devices, laptops, on-premises datacenters and cloud deployments, eliminating cloud lock-ins and enabling hybrid solutions.
Redis Cloud
Redis Cloud is a fully-managed service for running your Redis dataset. It overcomes Redis’ scalability limitation by supporting all Redis commands at any dataset size. Your dataset is constantly replicated, so if a node fails, an auto-switchover mechanism guarantees data is served without interruption.
