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Akka

1.1K
1K
+ 1
88
Lift Framework

8
24
+ 1
23
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Akka vs Lift Framework: What are the differences?

What is Akka? Build powerful concurrent & distributed applications more easily. Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM.

What is Lift Framework? The most powerful, most secure web framework available today. Lift creates abstractions that allow easier expression of business logic and then maps those abstractions to HTTP and HTML. This approach differs from traditional web frameworks which build abstractions on top of HTTP and HTML and require the developer to bridge between common business logic patterns and the underlying protocol.

Akka belongs to "Concurrency Frameworks" category of the tech stack, while Lift Framework can be primarily classified under "Frameworks (Full Stack)".

"Great concurrency model" is the primary reason why developers consider Akka over the competitors, whereas "Open source" was stated as the key factor in picking Lift Framework.

Akka and Lift Framework are both open source tools. Akka with 10.1K GitHub stars and 3.04K forks on GitHub appears to be more popular than Lift Framework with 1.19K GitHub stars and 270 GitHub forks.

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Pros of Akka
Pros of Lift Framework
  • 32
    Great concurrency model
  • 17
    Fast
  • 12
    Actor Library
  • 10
    Open source
  • 7
    Resilient
  • 5
    Message driven
  • 5
    Scalable
  • 7
    Open source
  • 6
    MVVC
  • 4
    Comet Actors
  • 2
    Stateful or stateless
  • 2
    Transparent templating
  • 2
    Highly reactive

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Cons of Akka
Cons of Lift Framework
  • 3
    Mixing futures with Akka tell is difficult
  • 2
    Closing of futures
  • 2
    No type safety
  • 1
    Very difficult to refactor
  • 1
    Typed actors still not stable
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    What is Akka?

    Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM.

    What is Lift Framework?

    Lift creates abstractions that allow easier expression of business logic and then maps those abstractions to HTTP and HTML. This approach differs from traditional web frameworks which build abstractions on top of HTTP and HTML and require the developer to bridge between common business logic patterns and the underlying protocol.

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    What companies use Akka?
    What companies use Lift Framework?
    See which teams inside your own company are using Akka or Lift Framework.
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    What tools integrate with Akka?
    What tools integrate with Lift Framework?
      No integrations found
      What are some alternatives to Akka and Lift Framework?
      Spring
      A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments.
      Scala
      Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.
      Erlang
      Some of Erlang's uses are in telecoms, banking, e-commerce, computer telephony and instant messaging. Erlang's runtime system has built-in support for concurrency, distribution and fault tolerance. OTP is set of Erlang libraries and design principles providing middle-ware to develop these systems.
      Kafka
      Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
      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.
      See all alternatives