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Mara
Mara

2
6
+ 1
3
s3-lambda
s3-lambda

3
19
+ 1
0
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Mara vs s3-lambda: What are the differences?

Developers describe Mara as "A lightweight ETL framework". A lightweight ETL framework with a focus on transparency and complexity reduction. On the other hand, s3-lambda is detailed as "Lambda functions over S3 objects: each, map, reduce, filter". s3-lambda enables you to run lambda functions over a context of S3 objects. It has a stateless architecture with concurrency control, allowing you to process a large number of files very quickly. This is useful for quickly prototyping complex data jobs without an infrastructure like Hadoop or Spark.

Mara and s3-lambda belong to "Big Data Tools" category of the tech stack.

Mara and s3-lambda are both open source tools. Mara with 1.24K GitHub stars and 51 forks on GitHub appears to be more popular than s3-lambda with 1.06K GitHub stars and 43 GitHub forks.

What is Mara?

A lightweight ETL framework with a focus on transparency and complexity reduction.

What is s3-lambda?

s3-lambda enables you to run lambda functions over a context of S3 objects. It has a stateless architecture with concurrency control, allowing you to process a large number of files very quickly. This is useful for quickly prototyping complex data jobs without an infrastructure like Hadoop or Spark.
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              What are some alternatives to Mara and s3-lambda?
              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.
              Amazon Athena
              Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
              Apache Flink
              Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
              Presto
              Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes.
              Apache Hive
              Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage.
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