Which operating system is best for Hadoop?

Hadoop runs on Unix and on Windows. Linux is the only supported production platform, but other flavors of Unix (including Mac OS X) can be used to run Hadoop for development. Windows is only supported as a development platform, and additionally requires Cygwin to run.

What is the difference between MongoDB and Hadoop?

MongoDB is a NoSQL database, whereas Hadoop is a framework for storing & processing Big Data in a distributed environment. MongoDB is a document oriented NoSQL database. MongoDB stores data in flexible JSON like document format. You can easily map the documents to your applications.

Does MongoDB support Linux?

Recommended. For the best installation experience, MongoDB provides packages for popular Linux distributions. These packages are the preferred way to run MongoDB.

Should I learn Hadoop or MongoDB?

When compared to Hadoop, MongoDB’s greatest strength is that it is a more robust solution, capable of far more flexibility than Hadoop, including potential replacement of existing RDBMS. Additionally, MongoDB also is inherently better at handling real-time data analytics.

Can MongoDB replace Hadoop?

MongoDB is a flexible platform that can make a suitable replacement for RDBMS. Hadoop cannot replace RDBMS but rather supplements it by helping to archive data.

Which is the best database for Big Data?

TOP 10 Open Source Big Data Databases

• Cassandra. Originally developed by Facebook, this NoSQL database is now managed by the Apache Foundation.
• HBase. Another Apache project, HBase is the non-relational data store for Hadoop.
• MongoDB.
• Neo4j.
• CouchDB.
• OrientDB.
• Terrstore.
• FlockDB.

Which Linux is best for MongoDB?

While MongoDB supports a variety of platforms, the following operating systems are recommended for production use on x86_64 architecture:

• Amazon Linux 2.
• Debian 9 and 10.
• RHEL / CentOS 7 and 8.
• SLES 12 and 15.
• Ubuntu LTS 18.04 and 20.04.
• Windows Server 2016 and 2019.

Can I use MongoDB for big data?

MongoDB is a document database that provides high performance, high availability, and easy scalability. Because of its features, MongoDB is The database for Big Data processing.

Is it possible to copy files across multiple clusters if yes how can you accomplish this?

Yes, it is possible to copy files across multiple Hadoop clusters and this can be achieved using distributed copy. DistCP command is used for intra or inter cluster copying.