incubator-livy VS lighter

Compare incubator-livy vs lighter and see what are their differences.

incubator-livy

Apache Livy is an open source REST interface for interacting with Apache Spark from anywhere. (by apache)

lighter

REST API for Apache Spark on K8S or YARN (by exacaster)
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incubator-livy lighter
4 2
851 79
0.9% -
5.8 9.7
25 days ago 6 days ago
Scala Java
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

incubator-livy

Posts with mentions or reviews of incubator-livy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-24.
  • Sparkless is born
    2 projects | /r/apachespark | 24 Nov 2022
    Apache Livy - REST API For submitting jobs to a cluster. Used in conjunction with Jupyter or Zeppelin notebooks and you have a multi-tenant SQL only workload — https://livy.apache.org
  • State of connecting (Jupyter) notebooks to remote Spark 3+ clusters
    2 projects | /r/apachespark | 26 Feb 2022
    There’s definitely some patching that still has to happen depending on the version (just found this Spark 3.2 PR), but I presume many folks that actively use it have to maintain their own forks. Latest version of EMR is Spark 3.1.2, but 3.2 is coming soon.
  • Spark is lit once again
    6 projects | dev.to | 29 Oct 2021
    Apache Livy - an open-source REST API for interacting with Apache Spark from anywhere.
  • Hadoop Clusters to K8S
    1 project | /r/kubernetes | 2 Feb 2021
    Spark 3 has some solid support for Kubernetes. Livy is a good addition to Spark on K8S, although support is not merged upstream yet (there's publicly available images and other in the PR). I'd strongly recommend to avoid running HDFS on top of Kubernetes. Either cloud-native buckets or on-premise bucket storage like Minio would be much better suited.

lighter

Posts with mentions or reviews of lighter. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-26.
  • State of connecting (Jupyter) notebooks to remote Spark 3+ clusters
    2 projects | /r/apachespark | 26 Feb 2022
    I also ran into https://github.com/exacaster/lighter, and thought I’d give it a go.
  • Spark is lit once again
    6 projects | dev.to | 29 Oct 2021
    Latter was a go-to solution at the time when we were only using Spark on YARN. Sadly Apache Livy is not maintained anymore: it has no K8s support, Spark client is more and more outdated with every passing day. For some time we used @jahstreet's fork which had K8s available. But then we saw that the Livy project hadn't received any updates and we decided to implement our own solution - Exacaster Lighter.

What are some alternatives?

When comparing incubator-livy and lighter you can also consider the following projects:

sparkmagic - Jupyter magics and kernels for working with remote Spark clusters

Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing

incubator-livy - Mirror of Apache livy (Incubating)

kyuubi - Apache Kyuubi is a distributed and multi-tenant gateway to provide serverless SQL on data warehouses and lakehouses.

Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

tispark - TiSpark is built for running Apache Spark on top of TiDB/TiKV

linkis - Apache Linkis builds a computation middleware layer to facilitate connection, governance and orchestration between the upper applications and the underlying data engines.

batch-processing-gateway - The gateway component to make Spark on K8s much easier for Spark users.

IJava - A Jupyter kernel for executing Java code.