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  1. Stackups
  2. Application & Data
  3. Databases
  4. Big Data Tools
  5. Azure HDInsight vs Pachyderm

Azure HDInsight vs Pachyderm

OverviewComparisonAlternatives

Overview

Pachyderm
Pachyderm
Stacks24
Followers95
Votes5
Azure HDInsight
Azure HDInsight
Stacks29
Followers138
Votes0

Pachyderm vs Azure HDInsight: What are the differences?

What is Pachyderm? MapReduce without Hadoop. Analyze massive datasets with Docker. Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations.

What is Azure HDInsight? A cloud-based service from Microsoft for big data analytics. It is a cloud-based service from Microsoft for big data analytics that helps organizations process large amounts of streaming or historical data.

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

Some of the features offered by Pachyderm are:

  • Git-like File System
  • Dockerized MapReduce
  • Microservice Architecture

On the other hand, Azure HDInsight provides the following key features:

  • Fully managed
  • Full-spectrum
  • Open-source analytics service in the cloud for enterprises

Pachyderm is an open source tool with 4K GitHub stars and 386 GitHub forks. Here's a link to Pachyderm's open source repository on GitHub.

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Detailed Comparison

Pachyderm
Pachyderm
Azure HDInsight
Azure HDInsight

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

It is a cloud-based service from Microsoft for big data analytics that helps organizations process large amounts of streaming or historical data.

Git-like File System;Dockerized MapReduce;Microservice Architecture;Deployed with CoreOS
Fully managed; Full-spectrum; Open-source analytics service in the cloud for enterprises
Statistics
Stacks
24
Stacks
29
Followers
95
Followers
138
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
Docker
Amazon EC2
Amazon EC2
Google Compute Engine
Google Compute Engine
Vagrant
Vagrant
IntelliJ IDEA
IntelliJ IDEA
Apache Spark
Apache Spark
Kafka
Kafka
Visual Studio Code
Visual Studio Code
Hadoop
Hadoop
Apache Storm
Apache Storm
HBase
HBase
Apache Hive
Apache Hive
Azure Data Factory
Azure Data Factory
Azure Active Directory
Azure Active Directory

What are some alternatives to Pachyderm, Azure HDInsight?

Google BigQuery

Google BigQuery

Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.

Apache Spark

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 Redshift

Amazon Redshift

It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

Qubole

Qubole

Qubole is a cloud based service that makes big data easy for analysts and data engineers.

Presto

Presto

Distributed SQL Query Engine for Big Data

Amazon EMR

Amazon EMR

It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.

Amazon Athena

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

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

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

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.

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