Summing Bird
Streaming MapReduce with Scalding and Storm.
Pricing
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Flat rate
Adoption
→StableLicense
Open Source
Data freshness
—Overview
What is Summing Bird?
Summingbird is a framework for streaming MapReduce that allows developers to write jobs in Scala, which can run on either Apache Storm or Hadoop's MapReduce. It simplifies the process of writing real-time data processing applications by providing a unified API.
Key differentiator
“Summingbird stands out by providing a unified API for both batch and stream processing, allowing developers to write jobs that can run on either Apache Storm or Hadoop's MapReduce without changing the codebase.”
Capability profile
Strength Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
Fit analysis
Who is it for?
✓ Best for
Developers who need to process large volumes of streaming data in real time.
Teams that require a unified API for both batch and stream processing.
Projects where data consistency between batch and stream processing is critical.
✕ Not a fit for
Applications requiring sub-second latency as Summingbird may not meet such strict requirements.
Use cases needing direct integration with cloud services, as it primarily supports self-hosted environments.
Cost structure
Pricing
Free Tier
None
Starts at
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Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Next step
Get Started with Summing Bird
Step-by-step setup guide with code examples and common gotchas.