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EventQL vs Pachyderm: What are the differences?
EventQL: The database for large-scale event analytics. EventQL is a distributed, column-oriented database built for large-scale event collection and analytics. It runs super-fast SQL and MapReduce queries; Pachyderm: MapReduce without Hadoop. Analyze massive datasets with Docker. Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations.
EventQL and Pachyderm can be primarily classified as "Big Data" tools.
EventQL and Pachyderm are both open source tools. Pachyderm with 3.81K GitHub stars and 369 forks on GitHub appears to be more popular than EventQL with 1.02K GitHub stars and 91 GitHub forks.
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Learn MorePros of EventQL
Pros of Pachyderm
Pros of EventQL
- 233
Pros of Pachyderm
- Containers3
- Versioning1
- Can run on GCP or AWS1
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Cons of EventQL
Cons of Pachyderm
Cons of EventQL
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Cons of Pachyderm
- Recently acquired by HPE, uncertain future.1
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- No public GitHub repository available -
What is EventQL?
EventQL is a distributed, column-oriented database built for large-scale event collection and analytics. It runs super-fast SQL and MapReduce queries.
What is Pachyderm?
Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations.
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What companies use EventQL?
What companies use Pachyderm?
What companies use EventQL?
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What companies use Pachyderm?
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What tools integrate with EventQL?
What tools integrate with Pachyderm?
What tools integrate with EventQL?
No integrations found
What tools integrate with Pachyderm?
What are some alternatives to EventQL and Pachyderm?
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