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Hadoop HDFS VS Google BigQuery

Compare Hadoop HDFS VS Google BigQuery and see what are their differences


The Apache HDFS is a distributed file system that makes it possible to scale a single Apache Hadoop cluster to hundreds (and even thousands) of nodes.

A fully managed data warehouse for large-scale data analytics.
Hadoop HDFS Landing Page
Hadoop HDFS Landing Page
Google BigQuery Landing Page
Google BigQuery Landing Page

Hadoop HDFS details

Categories
Big Data Stream Processing Big Data Tools
Website ibm.com  
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Google BigQuery details

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Data Dashboard Database Tools Big Data
Website cloud.google.com  
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What are some alternatives?

When comparing Hadoop HDFS and Google BigQuery, you can also consider the following products

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

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