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Platfora VS Cloudera CDH

Compare Platfora VS Cloudera CDH and see what are their differences

Atera
Atera’s all-in-one platform enables IT professionals to gain access, visibility, and control over all their networks and devices from anywhere, so they can work smarter and light years faster. featured
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Platfora logo Platfora

BI and Analytics Platform

Cloudera CDH logo Cloudera CDH

Imagine what your business could do if all your data were collected in one centralized, secure, fully-governed place that any department could access anytime.
  • Platfora Landing page
    Landing page //
    2018-10-16
  • Cloudera CDH Landing page
    Landing page //
    2023-10-15

Platfora videos

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Pete Schlampp, Platfora - #BigDataSV 2016 - #theCUBE

Cloudera CDH videos

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Introduction

Category Popularity

0-100% (relative to Platfora and Cloudera CDH)

Platfora

Cloudera CDH

Data Dashboard
63 63%
Data Dashboard
37% 37
Big Data
0 0%
Big Data
100% 100
Development
62 62%
Development
38% 38
Database Tools
55 55%
Database Tools
45% 45

User comments

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What are some alternatives?

When comparing Platfora and Cloudera CDH, you can also consider the following products

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.

Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

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

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

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.

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

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