Lambada Framework

4
16
+ 1
3
TrailDB

1
15
+ 1
0
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Lambada Framework vs TrailDB: What are the differences?

Developers describe Lambada Framework as "Build and deploy serverless applications using JAVA". Lambada framework is a REST framework that implements JAX-RS API and lets you deploy your applications to AWS Lambda and API Gateway in a serverless fashion. With Lambada you can migrate the existing JAX-RS applications with a very little effort and build scalable applications without having to deal with servers. On the other hand, TrailDB is detailed as "An efficient tool for storing and querying series of events, by AdRoll". TrailDB's secret sauce is data compression. It leverages predictability of time-based data to compress your data to a fraction of its original size. In contrast to traditional compression, you can query the encoded data directly, decompressing only the parts you need.

Lambada Framework and TrailDB are primarily classified as "Serverless / Task Processing" and "Databases" tools respectively.

Lambada Framework and TrailDB are both open source tools. TrailDB with 962 GitHub stars and 64 forks on GitHub appears to be more popular than Lambada Framework with 236 GitHub stars and 47 GitHub forks.

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    What is Lambada Framework?

    Lambada framework is a REST framework that implements JAX-RS API and lets you deploy your applications to AWS Lambda and API Gateway in a serverless fashion. With Lambada you can migrate the existing JAX-RS applications with a very little effort and build scalable applications without having to deal with servers.

    What is TrailDB?

    TrailDB's secret sauce is data compression. It leverages predictability of time-based data to compress your data to a fraction of its original size. In contrast to traditional compression, you can query the encoded data directly, decompressing only the parts you need.

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    What tools integrate with Lambada Framework?
    What tools integrate with TrailDB?
      No integrations found
      What are some alternatives to Lambada Framework and TrailDB?
      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.
      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.
      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.
      Cloud Functions for Firebase
      Cloud Functions for Firebase lets you create functions that are triggered by Firebase products, such as changes to data in the Realtime Database, uploads to Cloud Storage, new user sign ups via Authentication, and conversion events in Analytics.
      Google Cloud Functions
      Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running
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