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Google Cloud Dataproc VS Informatica

Compare Google Cloud Dataproc VS Informatica and see what are their differences

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Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

Informatica logo Informatica

As the world’s leader in enterprise cloud data management, we’re prepared to help you intelligently lead—in any sector, category or niche.
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • Informatica Landing page
    Landing page //
    2023-03-11

Google Cloud Dataproc videos

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Dataproc

Informatica videos

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00. Informatica Master Data Management MDM Overview

More videos:

  • Review - Modifying a Data Model in Informatica Master Data Management(MDM)

Category Popularity

0-100% (relative to Google Cloud Dataproc and Informatica)

Google Cloud Dataproc

Informatica

Data Dashboard
44 44%
Data Dashboard
56% 56
Big Data
100 100%
Big Data
0% 0
Big Data Analytics
0 0%
Big Data Analytics
100% 100
Development
100 100%
Development
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google Cloud Dataproc and Informatica

Google Cloud Dataproc Reviews

We have no reviews of Google Cloud Dataproc yet.
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Informatica Reviews

Top 5 AWS Glue Alternatives: Best ETL Tools
Informatica is a software development company that provides products for data integration based on ETL architecture. It offers data integration software and services to various businesses, industries, and government organizations, such as telecommunications, health care, financial services, and insurance. It offers multiple features like data masking, data quality, replica,...
Source: hevodata.com
Top Big Data Tools For 2021
This tool enables businesses to collect and process big data in real-time. It automates database management and enables you to manage your big data assets from anywhere. Informatica also features a big data parser, a smart data catalog, data relationship identification, and an intelligent data lake.
Source: blog.bismart.com

Social recommendations and mentions

Based on our record, Google Cloud Dataproc seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Google Cloud Dataproc mentions (3)

  • Connecting IPython notebook to spark master running in different machines
    I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago
  • Why we don’t use Spark
    Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / almost 2 years ago
  • Data processing issue
    With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 2 years ago

Informatica mentions (0)

We have not tracked any mentions of Informatica yet. Tracking of Informatica recommendations started around Mar 2021.

What are some alternatives?

When comparing Google Cloud Dataproc and Informatica, you can also consider the following products

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

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 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?

HortonWorks Data Platform - The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...

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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