Question

Difference and similarity between cluster computing and Hadoop ecosystem?​

Answer 1

• Some things can be similar and still have some differences. The Hadoop ecosystem is known to be the add-ons that make the Hadoop framework more better for some particular big data needs and tastes.

The Hadoop ecosystem is made up of the open source projects and commercial tools that are often optimized to act on different kinds of work especially to big data. It is very flexible

The differences is that cluster is simply a combination of a lot of computers that is set up to work together as one system but a Hadoop cluster is a cluster of computers that is used only at Hadoop. Hadoop clusters are set up to analyze and storing large amounts of unstructured data only in a distributed file systems.

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Answer 2

Answer:

difference:

1. A cluster is simply a combination of many computers designed to work together as one system.
2. A Hadoop cluster is, therefore, a cluster of computers used at Hadoop. Hadoop clusters are designed specifically for analyzing and storing large amounts of unstructured data in distributed file systems.

similarity:

1. The main difference between cluster and grid computing is that the cluster computing is a homogenous network in which devices have the same hardware components and the same operating system (OS) connected together in a cluster while the grid computing is a heterogeneous network in which devices have different hardware ...
2. Hadoop

• Go.o.gle BigQuery.
• Databricks Lakehouse Platform.
• Cloudera.
• Hortonworks Data Platform.
• Snowflake.
• Microsoft SQL Server.
• RStudio.

1. Go.o.gle Cloud Dataproc.