Pachyderm vs s3-lambda

Overview

Pachyderm

Stacks24

Followers95

Votes5

s3-lambda

Stacks4

Followers64

Votes0

GitHub Stars1.1K

Forks47

Pachyderm vs s3-lambda: What are the differences?

Developers describe Pachyderm as "MapReduce without Hadoop. Analyze massive datasets with Docker". Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations. 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.

Pachyderm and s3-lambda can be categorized as "Big Data" tools.

Pachyderm and s3-lambda are both open source tools. Pachyderm with 3.78K GitHub stars and 364 forks on GitHub appears to be more popular than s3-lambda with 1.05K GitHub stars and 43 GitHub forks.

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Detailed Comparison

Pachyderm	s3-lambda
Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations.	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.
Git-like File System;Dockerized MapReduce;Microservice Architecture;Deployed with CoreOS	-
Statistics
GitHub Stars -	GitHub Stars 1.1K
GitHub Forks -	GitHub Forks 47
Stacks 24	Stacks 4
Followers 95	Followers 64
Votes 5	Votes 0
Pros & Cons
Pros 3 Containers 1 Can run on GCP or AWS 1 Versioning Cons 1 Recently acquired by HPE, uncertain future.	No community feedback yet
Integrations
Docker Amazon EC2 Google Compute Engine Vagrant	Amazon S3 AWS Lambda

What are some alternatives to Pachyderm, 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.

Presto

Distributed SQL Query Engine for Big Data

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.

lakeFS

It is an open-source data version control system for data lakes. It provides a “Git for data” platform enabling you to implement best practices from software engineering on your data lake, including branching and merging, CI/CD, and production-like dev/test environments.

Druid

Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.

Apache Kylin

Apache Kylin™ is an open source Distributed Analytics Engine designed to provide SQL interface and multi-dimensional analysis (OLAP) on Hadoop/Spark supporting extremely large datasets, originally contributed from eBay Inc.

Splunk

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

Apache Impala

Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.