Apache Wayang (Incubating)

Bridges execution across multiple big data engines.

Highlights:
Cross-platform data analytics
Executes on Spark, Flink, Java, Postgres
Automatic plan/data movement
Optimize execution costs/latency
[Incubating] status

More Details

About this Item

Apache Wayang (Incubating)

What is Apache Wayang?

Execute data flows across big data engines.

 

Key Features

  • Platform unification
  • Cost-based optimization
  • Distributed flows

 

Use Cases

  • Analytics
  • Data migration

Code Snippet
App Type and Industry Use Cases

Take a look at the diverse range of application types and industries that can leverage this solution. Understanding these potential uses can help identify how this can integrate into different business models and digital solutions across various sectors.

Tech Stack Compatibility

We've outlined the compatible tech stacks for this solution, encompassing various development areas like frontend, backend, and database, alongside specific stack environments. This provides you with the crucial information needed for seamless integration into your preferred frameworks and programming environments.

Apache Wayang (Incubating)
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Pricing Tiers

Community
Cross-platform data processing, abstraction for Spark, Flink, Java, Python.
Free
Data abstraction
Java/Python
Spark/Flink
Docs
Incubating
Managed
Cloud data SaaS platform, if exists.
Usage
Managed
SLA
Plugins
Monitoring
Support
Enterprise
Analytics, consulting, plugin dev, SLA, docs.
Varies
SLA
Plugins
Analytics
Training
Docs

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