What is Apache Crunch and what does Apache Crunch do?

Apache Crunch is a retired Java library for creating and executing data processing pipelines on Hadoop. It simplifies big data tasks like transforming and aggregating large datasets, offering developers control and flexibility for complex data manipulation.

How does Apache Crunch integrate with other tools?

Apache Crunch integrates with Hadoop for distributed data processing and with Spark via the crunch-spark artifact. It supports custom data processing functions and allows developers to add custom functionality using UDFs and DoFns.

What the main competitors of Apache Crunch?

Alternatives to Apache Crunch include Apache Spark, Spring, and Jmix. For SQL-like querying on Hadoop (like Apache HAWQ), consider Apache Hive or Impala. If you need a cloud-based data warehouse, SAP HANA Cloud is an option. Acho is another alternative for building data-driven applications.

Is Apache Crunch legit?

Apache Crunch is a legitimate, albeit retired, Java library for big data processing with Hadoop. While safe to use, its retired status means no further development or support is available. Consider alternatives like Spark for active projects.

How much does Apache Crunch cost?

Apache Crunch is an open-source project, so it's free to use. There are no listed pricing plans or paid add-ons for the product itself. However, costs may be associated with infrastructure and support if needed.

Is Apache Crunch customer service good?

There is no information available about Apache Crunch's customer service.

Apache Crunch

Website LinkedIn Twitter

Ratings

4.1/5

(6)

Apache Crunch description

Apache Crunch is a Java library designed for developers working with big data. It simplifies building and running data processing pipelines using Hadoop, a framework for distributed storage and processing. Crunch makes it easier to write, test, and run these pipelines, particularly for tasks like transforming and aggregating large datasets. While not as beginner-friendly as some alternatives, it offers developers more control and flexibility, making it suitable for complex data manipulations. However, it's important to note that Apache Crunch is a retired project.

Who is Apache Crunch best for

Apache Crunch is a retired Java library for building and running Hadoop-based data processing pipelines. It offers developers control and flexibility for complex data manipulations, but may not be suitable for beginners. Ideal for experienced Java developers working with big data on smaller to mid-sized projects.

Best for small to mid-sized companies.
Suitable for developers working with big data.

Apache Crunch features

Supported

Apache Crunch is a Java-based framework for building data pipelines.

Supported

Apache Crunch integrates with Apache Hadoop for data pipelines.

Supported

Apache Crunch integrates with Apache Spark via the crunch-spark artifact.

Supported

Custom data processing is fully supported using DoFns.

Supported

Crunch supports building data processing pipelines.

Supported

Yes, developers can add custom functionality using user-defined functions (UDFs) and DoFns.

Apache Crunch alternatives

Hive

Big data analysis made easy with SQL-like queries.
Read more
Spark

Effortless Java web apps: build small projects simply and fast.
Read more
Decodable

Real-time data pipelines, simplified with SQL. No infrastructure management.
Read more
Prophecy

Visual data pipelines: build, deploy, and monitor, code-free.
Read more
Cloudera Data Engineering

Build, manage, and automate vast data pipelines with ease.
Read more
Apache Apex

Unified, open-source big data stream and batch processing.
Read more

Apache Crunch FAQ

What is Apache Crunch and what does Apache Crunch do?

Apache Crunch is a retired Java library for creating and executing data processing pipelines on Hadoop. It simplifies big data tasks like transforming and aggregating large datasets, offering developers control and flexibility for complex data manipulation.
How does Apache Crunch integrate with other tools?

Apache Crunch integrates with Hadoop for distributed data processing and with Spark via the crunch-spark artifact. It supports custom data processing functions and allows developers to add custom functionality using UDFs and DoFns.
What the main competitors of Apache Crunch?

Alternatives to Apache Crunch include Apache Spark, Spring, and Jmix. For SQL-like querying on Hadoop (like Apache HAWQ), consider Apache Hive or Impala. If you need a cloud-based data warehouse, SAP HANA Cloud is an option. Acho is another alternative for building data-driven applications.
Is Apache Crunch legit?

Apache Crunch is a legitimate, albeit retired, Java library for big data processing with Hadoop. While safe to use, its retired status means no further development or support is available. Consider alternatives like Spark for active projects.
How much does Apache Crunch cost?

Apache Crunch is an open-source project, so it's free to use. There are no listed pricing plans or paid add-ons for the product itself. However, costs may be associated with infrastructure and support if needed.
Is Apache Crunch customer service good?

There is no information available about Apache Crunch's customer service.

Reviewed by

MK

Michal Kaczor

CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT

Tymon Terlikiewicz

CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.