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Hadoop vs OrientDB: What are the differences?
Developers describe Hadoop as "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. On the other hand, OrientDB is detailed as "An open source NoSQL database management system". It is an open source NoSQL database management system written in Java. It is a Multi-model database, supporting graph, document, key/value, and object models, but the relationships are managed as in graph databases with direct connections between records.
Hadoop and OrientDB can be primarily classified as "Databases" tools.
Hadoop is an open source tool with 9.4K GitHub stars and 5.85K GitHub forks. Here's a link to Hadoop's open source repository on GitHub.
According to the StackShare community, Hadoop has a broader approval, being mentioned in 309 company stacks & 623 developers stacks; compared to OrientDB, which is listed in 10 company stacks and 5 developer stacks.
Pros of Hadoop
- Great ecosystem39
- One stack to rule them all11
- Great load balancer4
- Amazon aws1
- Java syntax1
Pros of OrientDB
- Great graphdb4
- Great support2
- Open source2
- Multi-Model/Paradigm1
- ACID1
- Highly-available1
- Performance1
- Embeddable1
- Rest api1
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Cons of Hadoop
Cons of OrientDB
- Unstable4
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What is Hadoop?
What is OrientDB?
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What companies use OrientDB?
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What tools integrate with Hadoop?
What tools integrate with OrientDB?
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