Hadoop vs Heroku Postgres: What are the differences?
What is 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.
What is Heroku Postgres? Heroku's Database-as-a-Service. Based on the most powerful open-source database, PostgreSQL. Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management.
Hadoop and Heroku Postgres are primarily classified as "Databases" and "PostgreSQL as a Service" tools respectively.
"Great ecosystem" is the top reason why over 34 developers like Hadoop, while over 27 developers mention "Easy to setup" as the leading cause for choosing Heroku Postgres.
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.
According to the StackShare community, Hadoop has a broader approval, being mentioned in 237 company stacks & 127 developers stacks; compared to Heroku Postgres, which is listed in 74 company stacks and 39 developer stacks.