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BlueData VS Hadoop HDFS

Compare BlueData VS Hadoop HDFS and see what are their differences


BlueData's software platform makes it easier, faster and more cost-effective for organizations to deploy Big Data infrastructure on-premises.

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.
BlueData Landing Page
BlueData Landing Page
Hadoop HDFS Landing Page
Hadoop HDFS Landing Page

BlueData details

Categories
Big Data Big Data Tools Data Dashboard
Website bluedata.com  
Pricing URL-
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Platforms
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Hadoop HDFS details

Categories
Big Data Stream Processing Big Data Tools
Website ibm.com  
Pricing URL-
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Category Popularity beta

0-100% (relative to BlueData and Hadoop HDFS)
9
9%
91%
91
7
7%
93%
93
100
100%
0%
0
0
0%
100%
100

What are some alternatives?

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

Impala - Impala is a modern, open source, distributed SQL query engine for Apache Hadoop.

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

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

RJ Metrics - RJMetrics provides hosted business intelligence & data analysis software to companies that operate online.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Apache Parquet - Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem.

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