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Pachyderm vs Singer: What are the differences?
Developers describe Pachyderm as "MapReduce without Hadoop. Analyze massive datasets with Docker". Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations. On the other hand, Singer is detailed as "Simple, Composable, Open Source ETL". Singer powers data extraction and consolidation for all of your organization’s tools: advertising platforms, web analytics, payment processors, email service providers, marketing automation, databases, and more.
Pachyderm and Singer can be primarily classified as "Big Data" tools.
Pachyderm and Singer are both open source tools. It seems that Pachyderm with 3.81K GitHub stars and 369 forks on GitHub has more adoption than Singer with 178 GitHub stars and 40 GitHub forks.
Pros of Pachyderm
- Containers3
- Versioning1
- Can run on GCP or AWS1
Pros of Singer
- Multiple inputs "taps"1
- Open source1
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Cons of Pachyderm
- Recently acquired by HPE, uncertain future.1
Cons of Singer
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What is Pachyderm?
What is Singer?
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What companies use Pachyderm?
What companies use Singer?
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What tools integrate with Pachyderm?
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