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Spark Framework

A micro framework for creating web applications in Kotlin and Java 8 with minimal effort
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What is Spark Framework?

It is a simple and expressive Java/Kotlin web framework DSL built for rapid development. Its intention is to provide an alternative for Kotlin/Java developers that want to develop their web applications as expressive as possible and with minimal boilerplate.
Spark Framework is a tool in the Microframeworks (Backend) category of a tech stack.

Who uses Spark Framework?

Companies
7 companies reportedly use Spark Framework in their tech stacks, including 1000mercis, Kasa Smart, and AfricanStockPhoto.

Developers
12 developers on StackShare have stated that they use Spark Framework.

Spark Framework Integrations

Why developers like Spark Framework?

Here鈥檚 a list of reasons why companies and developers use Spark Framework
Private Decisions at about Spark Framework
Private to your company

Here are some stack decisions, common use cases and reviews by members of with Spark Framework in their tech stack.

Scala
Scala
Akka
Akka
Kafka
Kafka
Play
Play
Spark Framework
Spark Framework

Scala Akka Kafka Play Spark Framework Hiring for various companies around London and Europe,

Salarys upto 拢100,000 Junior-Senior Engineers, Scala/Akka/Kafka

Get in touch with me for more details!

Jasmine.wells@signifytechnology.com

See more

Spark Framework's Features

  • Built for productivity
  • Lets you take full advantage of the JVM

Spark Framework Alternatives & Comparisons

What are some alternatives to Spark Framework?
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
Hadoop
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
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.
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.
ExpressJS
Express is a minimal and flexible node.js web application framework, providing a robust set of features for building single and multi-page, and hybrid web applications.
See all alternatives

Spark Framework's Followers
27 developers follow Spark Framework to keep up with related blogs and decisions.
Matthew Madgwick
Ritwick Babbar
martin smotic
Ahmad Pirzada
Uli Hanson
Lotar Schin
Rajib Bahar
Sosa Edison
Deepak Arora
Heber Silva