What is WSO2 and what are its top alternatives?
WSO2 is an open-source integration platform that enables developers to build, integrate, manage, and secure APIs and applications. Key features include support for microservices, cloud-native architecture, and centralized API management. However, some limitations of WSO2 include a steep learning curve due to its complexity and a lack of extensive documentation for beginners.
MuleSoft Anypoint Platform: MuleSoft offers a unified platform for API-led connectivity that enables organizations to connect data, devices, and applications. Key features include a drag-and-drop interface, reusable API fragments, and comprehensive analytics. Pros include a user-friendly interface and a large developer community, while cons include high pricing for enterprise features.
Apigee: Apigee, powered by Google Cloud, provides a full lifecycle API management solution for securely delivering and analyzing APIs. Key features include advanced security controls, traffic management, and analytics dashboards. Pros include seamless integration with Google Cloud services, while cons include limited customization options.
IBM API Connect: IBM API Connect offers a complete API lifecycle management solution, including creating, securing, and managing APIs. Key features include automated API creation, built-in security policies, and advanced analytics. Pros include seamless integration with IBM Cloud services, while cons include a complex setup process.
Azure API Management: Microsoft Azure API Management provides a scalable API gateway for building and managing APIs. Key features include developer portal customization, policy enforcement, and monitoring and analytics. Pros include seamless integration with Azure services, while cons include limited support for non-Microsoft technologies.
TIBCO Cloud Integration: TIBCO offers a cloud-based integration platform that enables organizations to connect applications, data, and APIs. Key features include visual data mapping, real-time monitoring, and hybrid integration capabilities. Pros include a unified platform for data and application integration, while cons include a high price point.
Dell Boomi: Dell Boomi is a cloud-native integration platform that simplifies API design, deployment, and management. Key features include drag-and-drop interface, low-code development, and pre-built connectors. Pros include rapid deployment and scalability, while cons include limited customization options.
Red Hat Integration: Red Hat offers an open-source integration platform that enables organizations to connect applications, data, and devices. Key features include support for microservices architecture, containerization, and API gateways. Pros include robust security features, while cons include a complex setup process.
AWS API Gateway: Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs. Key features include built-in security, traffic management, and API versioning. Pros include seamless integration with AWS services, while cons include high pricing for heavy usage.
Kong: Kong is an open-source API gateway and microservices management layer that enables organizations to create and manage APIs. Key features include request throttling, authentication, and rate limiting. Pros include flexibility and extensibility through plugins, while cons include a steeper learning curve for beginners.
Tyk: Tyk is an open-source API gateway that offers advanced features for API management, analytics, and security. Key features include rate limiting, developer portal, and access control policies. Pros include a robust set of features, while cons include limited enterprise support compared to other solutions.
Top Alternatives to WSO2
- Talend
It is an open source software integration platform helps you in effortlessly turning data into business insights. It uses native code generation that lets you run your data pipelines seamlessly across all cloud providers and get optimized performance on all platforms. ...
- Kong
Kong is a scalable, open source API Layer (also known as an API Gateway, or API Middleware). Kong controls layer 4 and 7 traffic and is extended through Plugins, which provide extra functionality and services beyond the core platform. ...
- 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. ...
- Fuse
It is a set of user experience development tools that unify design, prototyping and implementation of high quality, native apps for iOS and Android. ...
- Kafka
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design. ...
- Keycloak
It is an Open Source Identity and Access Management For Modern Applications and Services. It adds authentication to applications and secure services with minimum fuss. No need to deal with storing users or authenticating users. It's all available out of the box. ...
- Okta
Connect all your apps in days, not months, with instant access to thousands of pre-built integrations - even add apps to the network yourself. Integrations are easy to set up, constantly monitored, proactively repaired and handle authentication and provisioning. ...
- Spring Boot
Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration. ...
WSO2 alternatives & related posts
related Talend posts
- Easy to maintain37
- Easy to install32
- Flexible26
- Great performance21
- Api blueprint7
- Custom Plugins4
- Kubernetes-native3
- Security2
- Has a good plugin infrastructure2
- Agnostic2
- Load balancing1
- Documentation is clear1
- Very customizable1
related Kong posts
We needed a lightweight and completely customizable #microservices #gateway to be able to generate #JWT and introspect #OAuth2 tokens as well. The #gateway was going to front all #APIs for our single page web app as well as externalized #APIs for our partners.
ContendersWe looked at Tyk Cloud and Kong. Kong's plugins are all Lua based and its core is NGINX and OpenResty. Although it's open source, it's not the greatest platform to be able to customize. On top of that enterprise features are paid and expensive. Tyk is Go and the nomenclature used within Tyk like "sessions" was bizarre, and again enterprise features were paid.
DecisionWe ultimately decided to roll our own using ExpressJS into Express Gateway because the use case for using ExpressJS as an #API #gateway was tried and true, in fact - all the enterprise features that the other two charge for #OAuth2 introspection etc were freely available within ExpressJS middleware.
OutcomeWe opened source Express Gateway with a core set of plugins and the community started writing their own and could quickly do so by rolling lots of ExpressJS middleware into Express Gateway
- Highly scalable and secure API Management Platform12
- Good documentation6
- Quick jumpstart6
- Fast and adjustable caching3
- Easy to use3
- Expensive11
- Doesn't support hybrid natively1
related Apigee posts
Amazon API Gateway vs Apigee. How do they compare as an API Gateway? What is the equivalent functionality, similarities, and differences moving from Apigee API GW to AWS API GW?
related Fuse posts
- High-throughput126
- Distributed119
- Scalable92
- High-Performance86
- Durable66
- Publish-Subscribe38
- Simple-to-use19
- Open source18
- Written in Scala and java. Runs on JVM12
- Message broker + Streaming system9
- KSQL4
- Avro schema integration4
- Robust4
- Suport Multiple clients3
- Extremely good parallelism constructs2
- Partioned, replayable log2
- Simple publisher / multi-subscriber model1
- Fun1
- Flexible1
- Non-Java clients are second-class citizens32
- Needs Zookeeper29
- Operational difficulties9
- Terrible Packaging5
related Kafka posts
When I joined NYT there was already broad dissatisfaction with the LAMP (Linux Apache HTTP Server MySQL PHP) Stack and the front end framework, in particular. So, I wasn't passing judgment on it. I mean, LAMP's fine, you can do good work in LAMP. It's a little dated at this point, but it's not ... I didn't want to rip it out for its own sake, but everyone else was like, "We don't like this, it's really inflexible." And I remember from being outside the company when that was called MIT FIVE when it had launched. And been observing it from the outside, and I was like, you guys took so long to do that and you did it so carefully, and yet you're not happy with your decisions. Why is that? That was more the impetus. If we're going to do this again, how are we going to do it in a way that we're gonna get a better result?
So we're moving quickly away from LAMP, I would say. So, right now, the new front end is React based and using Apollo. And we've been in a long, protracted, gradual rollout of the core experiences.
React is now talking to GraphQL as a primary API. There's a Node.js back end, to the front end, which is mainly for server-side rendering, as well.
Behind there, the main repository for the GraphQL server is a big table repository, that we call Bodega because it's a convenience store. And that reads off of a Kafka pipeline.
To provide employees with the critical need of interactive querying, we’ve worked with Presto, an open-source distributed SQL query engine, over the years. Operating Presto at Pinterest’s scale has involved resolving quite a few challenges like, supporting deeply nested and huge thrift schemas, slow/ bad worker detection and remediation, auto-scaling cluster, graceful cluster shutdown and impersonation support for ldap authenticator.
Our infrastructure is built on top of Amazon EC2 and we leverage Amazon S3 for storing our data. This separates compute and storage layers, and allows multiple compute clusters to share the S3 data.
We have hundreds of petabytes of data and tens of thousands of Apache Hive tables. Our Presto clusters are comprised of a fleet of 450 r4.8xl EC2 instances. Presto clusters together have over 100 TBs of memory and 14K vcpu cores. Within Pinterest, we have close to more than 1,000 monthly active users (out of total 1,600+ Pinterest employees) using Presto, who run about 400K queries on these clusters per month.
Each query submitted to Presto cluster is logged to a Kafka topic via Singer. Singer is a logging agent built at Pinterest and we talked about it in a previous post. Each query is logged when it is submitted and when it finishes. When a Presto cluster crashes, we will have query submitted events without corresponding query finished events. These events enable us to capture the effect of cluster crashes over time.
Each Presto cluster at Pinterest has workers on a mix of dedicated AWS EC2 instances and Kubernetes pods. Kubernetes platform provides us with the capability to add and remove workers from a Presto cluster very quickly. The best-case latency on bringing up a new worker on Kubernetes is less than a minute. However, when the Kubernetes cluster itself is out of resources and needs to scale up, it can take up to ten minutes. Some other advantages of deploying on Kubernetes platform is that our Presto deployment becomes agnostic of cloud vendor, instance types, OS, etc.
#BigData #AWS #DataScience #DataEngineering
- It's a open source solution33
- Supports multiple identity provider24
- OpenID and SAML support17
- Easy customisation12
- JSON web token10
- Maintained by devs at Redhat6
- Okta7
- Poor client side documentation6
- Lack of Code examples for client side5
related Keycloak posts
Hello,
I'm trying to implement a solution for this situation:
There is a restaurant in which users can access RestAPI, using Google, Facebook, GitHub. There is even the possibility to login inside using the SPID authentication. In the first case I was considering Keycloak as a better solution for this case, but then i've read about Okta and its pros.
I cannot understand reading and searching on Google if SPID authentication is supported by OKTA. Looks like to be, because it should be using SAML, but I haven't found a clear solution.
As the access to our global REST-API "Charon" is bound to OAuth2, we use Keycloak inside Quarkus to authenticate and authorize users of our API. It is not possible to perform any un-authenticated requests against this API, so we wanted to make really sure that the authentication/authorization component is absolutely reliable and tested. We found those attributes within Keycloak, so we used it.
- REST API14
- SAML9
- OIDC OpenID Connect5
- Protect B2E, B2B, B2C apps5
- User Provisioning5
- Easy LDAP integration5
- Universal Directory4
- Tons of Identity Management features4
- SSO, MFA for cloud, on-prem, custom apps4
- API Access Management - oAuth2 as a service4
- Easy Active Directory integration3
- SWA applications Integration2
- SOC21
- Test0
- Pricing is too high5
- Okta verify (Multi-factor Authentication)1
related Okta posts
Hello,
I'm trying to implement a solution for this situation:
There is a restaurant in which users can access RestAPI, using Google, Facebook, GitHub. There is even the possibility to login inside using the SPID authentication. In the first case I was considering Keycloak as a better solution for this case, but then i've read about Okta and its pros.
I cannot understand reading and searching on Google if SPID authentication is supported by OKTA. Looks like to be, because it should be using SAML, but I haven't found a clear solution.
I want some good advice on which one I should prefer. (Keycloak or Okta) Since Keycloak is open source, it will be our first preference, but do we face some limitations with this approach? And since our product is SAAS based and we support the following authentications at present. 1. AT DB level 2. 3rd part IDP providers 3. LDAP/AD...
Spring Boot
- Powerful and handy149
- Easy setup134
- Java128
- Spring90
- Fast85
- Extensible46
- Lots of "off the shelf" functionalities37
- Cloud Solid32
- Caches well26
- Productive24
- Many receipes around for obscure features24
- Modular23
- Integrations with most other Java frameworks23
- Spring ecosystem is great22
- Auto-configuration21
- Fast Performance With Microservices21
- Community18
- Easy setup, Community Support, Solid for ERP apps17
- One-stop shop15
- Easy to parallelize14
- Cross-platform14
- Easy setup, good for build erp systems, well documented13
- Powerful 3rd party libraries and frameworks13
- Easy setup, Git Integration12
- It's so easier to start a project on spring5
- Kotlin4
- Microservice and Reactive Programming1
- The ability to integrate with the open source ecosystem1
- Heavy weight23
- Annotation ceremony18
- Java13
- Many config files needed11
- Reactive5
- Excellent tools for cloud hosting, since 5.x4
- Java 😒😒1
related Spring Boot posts
We are in the process of building a modern content platform to deliver our content through various channels. We decided to go with Microservices architecture as we wanted scale. Microservice architecture style is an approach to developing an application as a suite of small independently deployable services built around specific business capabilities. You can gain modularity, extensive parallelism and cost-effective scaling by deploying services across many distributed servers. Microservices modularity facilitates independent updates/deployments, and helps to avoid single point of failure, which can help prevent large-scale outages. We also decided to use Event Driven Architecture pattern which is a popular distributed asynchronous architecture pattern used to produce highly scalable applications. The event-driven architecture is made up of highly decoupled, single-purpose event processing components that asynchronously receive and process events.
To build our #Backend capabilities we decided to use the following: 1. #Microservices - Java with Spring Boot , Node.js with ExpressJS and Python with Flask 2. #Eventsourcingframework - Amazon Kinesis , Amazon Kinesis Firehose , Amazon SNS , Amazon SQS, AWS Lambda 3. #Data - Amazon RDS , Amazon DynamoDB , Amazon S3 , MongoDB Atlas
To build #Webapps we decided to use Angular 2 with RxJS
#Devops - GitHub , Travis CI , Terraform , Docker , Serverless
Is learning Spring and Spring Boot for web apps back-end development is still relevant in 2021? Feel free to share your views with comparison to Django/Node.js/ ExpressJS or other frameworks.
Please share some good beginner resources to start learning about spring/spring boot framework to build the web apps.