pass4s VS s3-sqs-connector

Compare pass4s vs s3-sqs-connector and see what are their differences.

pass4s

Pass4s is a Scala library providing an abstract layer for cross app messaging. (by ocadotechnology)

s3-sqs-connector

A library for reading data from Amzon S3 with optimised listing using Amazon SQS using Spark SQL Streaming ( or Structured streaming). (by qubole)
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pass4s s3-sqs-connector
1 6
45 16
- -
7.7 0.0
15 days ago about 1 month ago
Scala Scala
Apache License 2.0 Apache License 2.0
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.

pass4s

Posts with mentions or reviews of pass4s. We have used some of these posts to build our list of alternatives and similar projects.

s3-sqs-connector

Posts with mentions or reviews of s3-sqs-connector. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing pass4s and s3-sqs-connector you can also consider the following projects:

Lila - ♞ lichess.org: the forever free, adless and open source chess server ♞ [Moved to: https://github.com/lichess-org/lila]

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

Jupyter Scala - A Scala kernel for Jupyter

deequ - Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

LearningSparkV2 - This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

Spark Utils - Basic framework utilities to quickly start writing production ready Apache Spark applications

mmlspark - Simple and Distributed Machine Learning [Moved to: https://github.com/microsoft/SynapseML]