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Hadoop vs HarperDB: What are the differences?
Hadoop: Open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage; HarperDB: IoT Database that runs from the edge to the cloud. HarperDB is a database that optimizes the data value chain for any size company without sacrificing features, functionality and stability. HarperDB is designed to run from the edge to the cloud. HarperDB was founded in Denver, CO with the belief that database architecture can be simple and accessible to everyone.
Hadoop and HarperDB belong to "Databases" category of the tech stack.
Hadoop is an open source tool with 9.27K GitHub stars and 5.78K GitHub forks. Here's a link to Hadoop's open source repository on GitHub.
Pros of Hadoop
- Great ecosystem39
- One stack to rule them all11
- Great load balancer4
- Amazon aws1
- Java syntax1
Pros of HarperDB
- Data api2
- Custom Functions1
- Edge capabilities1
- Cost efficient1
- Integration1
- Flexibility1
- Performance1
- Distribution capabilities1