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BlueData VS Google Cloud Dataflow

Compare BlueData VS Google Cloud Dataflow 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.

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

BlueData details

Categories
Big Data Big Data Tools Data Dashboard
Website bluedata.com  
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Google Cloud Dataflow details

Categories
Big Data Stream Processing Data Management
Website cloud.google.com  
Pricing URL-
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Platforms
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BlueData videos

No BlueData videos yet. You could help us improve this page by suggesting one.

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Google Cloud Dataflow videos

Introduction to Google Cloud Dataflow - Course Introduction

More videos:

  • - Serverless data processing with Google Cloud Dataflow (Google Cloud Next '17)
  • - Apache Beam and Google Cloud Dataflow

Category Popularity beta

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What are some alternatives?

When comparing BlueData and Google Cloud Dataflow, you can also consider the following products

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

Hadoop HDFS - 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.

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.

User comments

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