Hadoop

What it is

Apache Hadoop is a distributed computing framework that supports the processing of large data sets in a distributed environment. It provides massive storage with a distributed file system, computational power through MapReduce, and the ability to handle data flow using Hadoop Streaming.

Hadoop provides a robust framework for handling large volumes of data with high scalability, making it ideal for big data environments that require distributed storage and processing capabilities.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   The AWS SDK is no longer bundled in the release, requiring manual download and installation for S3 connectivity.

   Users must manually download the AWS SDK from Maven Central and copy it to the lib directory because it is no longer included in the release bundle.

2. 02

   Using newer AWS SDK versions with Hadoop is prone to regressions.

   The documentation explicitly warns that while newer AWS SDK versions may work, regressions are almost inevitable, indicating a lack of forward compatibility stability.

What it does well

• Distributed File System (HDFS)

• MapReduce for data processing

• Scalability and fault tolerance

• YARN for resource management

• Compatibility with various data formats

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.