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  5. KrakenD vs Ocelot

KrakenD vs Ocelot

OverviewComparisonAlternatives

Overview

Ocelot
Ocelot
Stacks83
Followers283
Votes4
GitHub Stars8.6K
Forks1.7K
KrakenD
KrakenD
Stacks59
Followers158
Votes9

KrakenD vs Ocelot: What are the differences?

Introduction:

In the world of API gateways, KrakenD and Ocelot are two popular choices. While their purpose remains the same, there are key differences between them that set them apart from each other. This article aims to compare KrakenD and Ocelot in terms of their features and functionalities to provide a better understanding of their distinctive qualities.

  1. Scalability: KrakenD is designed to scale horizontally, meaning it can handle a higher volume of requests by distributing the load across multiple instances. On the other hand, Ocelot focuses more on vertical scalability, allowing for efficient handling of individual requests by optimizing resource usage.

  2. Configuration: KrakenD utilizes a declarative configuration approach, where the API gateway's behavior is defined through configuration files. In contrast, Ocelot takes a more programmatic approach, providing a set of middlewares that can be used to define the gateway's behavior programmatically within the application's source code.

  3. Backend Support: KrakenD has built-in support for a wide range of backend protocols, including REST, gRPC, WebSockets, and backend aggregation. Ocelot, on the other hand, primarily focuses on providing RESTful API gateway capabilities and might require additional setups or customizations for other protocols.

  4. Load Balancing: KrakenD provides built-in load balancing capabilities, allowing the distribution of incoming requests to multiple backend services. Ocelot, however, relies on external load balancers or orchestrators to handle load balancing functionalities.

  5. Caching: KrakenD includes a powerful caching mechanism that can be easily configured to improve performance by serving cached responses for frequently accessed endpoints. Ocelot does not provide native caching capabilities, but it can integrate with external caching solutions like Redis for caching purposes.

  6. Plugins and Extensibility: KrakenD has a modular architecture that supports plugins, enabling developers to extend its functionalities by implementing custom middleware components. Ocelot also provides extensibility points through its middleware approach, allowing developers to plug in custom behaviors, but its plugin ecosystem may not be as comprehensive as that of KrakenD.

In summary, KrakenD offers horizontal scalability, declarative configuration, robust backend protocol support, built-in load balancing and caching capabilities, and a flexible plugin system. On the other hand, Ocelot focuses on vertical scalability, programmatic configuration, RESTful API gateway capabilities, external load balancing, and extensibility through middleware components.

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CLI (Node.js)
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Manual

Detailed Comparison

Ocelot
Ocelot
KrakenD
KrakenD

It is aimed at people using .NET running a micro services / service oriented architecture that need a unified point of entry into their system. However it will work with anything that speaks HTTP and run on any platform that ASP.NET Core supports. It manipulates the HttpRequest object into a state specified by its configuration until it reaches a request builder middleware where it creates a HttpRequestMessage object which is used to make a request to a downstream service.

Its core functionality is to create an API that acts as an aggregator of many microservices into single endpoints, doing the heavy-lifting automatically for you: aggregate, transform, filter, decode, throttle, auth and more.

Routing; Request Aggregation; Service Discovery with Consul & Eureka; Service Fabric; Kubernetes; WebSockets; Authentication; Authorisation; Rate Limiting; Caching
Throttling and usage quotas; Extensible architecture; Circuit breaker; High-load and burst; Service discovery
Statistics
GitHub Stars
8.6K
GitHub Stars
-
GitHub Forks
1.7K
GitHub Forks
-
Stacks
83
Stacks
59
Followers
283
Followers
158
Votes
4
Votes
9
Pros & Cons
Pros
  • 2
    Simple configuration
  • 2
    Straightforward documentation
Pros
  • 2
    Best performant
  • 2
    Documentation
  • 2
    Stateless
  • 1
    Easy to install
  • 1
    GitOps oriented
Integrations
GraphQL
GraphQL
.NET
.NET
ASP.NET
ASP.NET
.NET Core
.NET Core
Keycloak
Keycloak
Docker
Docker
Auth0
Auth0
ELK
ELK
Logstash
Logstash
Grafana
Grafana
Kibana
Kibana
RabbitMQ
RabbitMQ
Amazon SQS
Amazon SQS
Google Cloud Pub/Sub
Google Cloud Pub/Sub

What are some alternatives to Ocelot, KrakenD?

Postman

Postman

It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.

Paw

Paw

Paw is a full-featured and beautifully designed Mac app that makes interaction with REST services delightful. Either you are an API maker or consumer, Paw helps you build HTTP requests, inspect the server's response and even generate client code.

Karate DSL

Karate DSL

Combines API test-automation, mocks and performance-testing into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Besides powerful JSON & XML assertions, you can run tests in parallel for speed - which is critical for HTTP API testing.

Appwrite

Appwrite

Appwrite's open-source platform lets you add Auth, DBs, Functions and Storage to your product and build any application at any scale, own your data, and use your preferred coding languages and tools.

Runscope

Runscope

Keep tabs on all aspects of your API's performance with uptime monitoring, integration testing, logging and real-time monitoring.

Istio

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.

Insomnia REST Client

Insomnia REST Client

Insomnia is a powerful REST API Client with cookie management, environment variables, code generation, and authentication for Mac, Window, and Linux.

RAML

RAML

RESTful API Modeling Language (RAML) makes it easy to manage the whole API lifecycle from design to sharing. It's concise - you only write what you need to define - and reusable. It is machine readable API design that is actually human friendly.

Apigee

Apigee

API management, design, analytics, and security are at the heart of modern digital architecture. The Apigee intelligent API platform is a complete solution for moving business to the digital world.

Azure Service Fabric

Azure Service Fabric

Azure Service Fabric is a distributed systems platform that makes it easy to package, deploy, and manage scalable and reliable microservices. Service Fabric addresses the significant challenges in developing and managing cloud apps.

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