s3-sqs-connector VS Apache Spark

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

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)

Apache Spark

Apache Spark - A unified analytics engine for large-scale data processing (by apache)
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s3-sqs-connector Apache Spark
6 101
16 38,378
- 0.6%
0.0 10.0
12 days ago 5 days 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.

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.

Apache Spark

Posts with mentions or reviews of Apache Spark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-11.

What are some alternatives?

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

Jupyter Scala - A Scala kernel for Jupyter

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

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

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

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

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

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

Scalding - A Scala API for Cascading

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

mrjob - Run MapReduce jobs on Hadoop or Amazon Web Services

luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing