Scalding

A Scala API for Cascading to simplify Hadoop MapReduce jobs.

EstablishedOpen SourceLow lock-in

Pricing

See website

Flat rate

Adoption

Stable

License

Open Source

Data freshness

Overview

What is Scalding?

Scalding is a Scala library that simplifies the process of writing and running Hadoop MapReduce jobs. It provides a high-level, functional programming interface for data processing tasks.

Key differentiator

Scalding stands out by offering a high-level Scala API for Hadoop MapReduce, making it easier to write complex data pipelines compared to using Java or other lower-level languages directly.

Capability profile

Strength Radar

High-level, func…Simplified data …Integration with…

Honest assessment

Strengths & Weaknesses

↑ Strengths

High-level, functional programming interface for Hadoop MapReduce jobs.

Simplified data processing tasks with Scala's expressive syntax.

Integration with Cascading for advanced data flow operations.

Fit analysis

Who is it for?

✓ Best for

Teams working with large datasets who prefer Scala for its functional programming capabilities.

Projects requiring complex data processing pipelines built on top of Hadoop MapReduce.

✕ Not a fit for

Developers looking for a managed service or cloud-based solution without self-hosting.

Applications that require real-time data processing and cannot tolerate the latency associated with batch jobs.

Cost structure

Pricing

Free Tier

None

Starts at

See website

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Alternatives

Next step

Get Started with Scalding

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →