Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Pachyderm
Pachyderm

7
12
+ 1
2
Singer
Singer

9
9
+ 1
0
Add tool

Pachyderm vs Singer: 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, Singer is detailed as "Simple, Composable, Open Source ETL". Singer powers data extraction and consolidation for all of your organization’s tools: advertising platforms, web analytics, payment processors, email service providers, marketing automation, databases, and more.

Pachyderm and Singer can be primarily classified as "Big Data" tools.

Pachyderm and Singer are both open source tools. It seems that Pachyderm with 3.81K GitHub stars and 369 forks on GitHub has more adoption than Singer with 178 GitHub stars and 40 GitHub forks.

What is Pachyderm?

Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations.

What is Singer?

Singer powers data extraction and consolidation for all of your organization’s tools: advertising platforms, web analytics, payment processors, email service providers, marketing automation, databases, and more.
Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Why do developers choose Pachyderm?
Why do developers choose Singer?
    Be the first to leave a pro
      Be the first to leave a con
        Be the first to leave a con
        What companies use Pachyderm?
        What companies use Singer?

        Sign up to get full access to all the companiesMake informed product decisions

        What tools integrate with Pachyderm?
        What tools integrate with Singer?

        Sign up to get full access to all the tool integrationsMake informed product decisions

        What are some alternatives to Pachyderm and Singer?
        Hadoop
        The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
        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.
        Airflow
        Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
        Kafka
        Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
        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.
        See all alternatives
        Decisions about Pachyderm and Singer
        No stack decisions found
        Interest over time
        Reviews of Pachyderm and Singer
        No reviews found
        How developers use Pachyderm and Singer
        No items found
        How much does Pachyderm cost?
        How much does Singer cost?
        Pricing unavailable
        Pricing unavailable
        News about Pachyderm
        More news
        News about Singer
        More news