Software Alternatives & Reviews
Register | Login

Google Cloud Dataproc VS Oracle Big Data

Compare Google Cloud Dataproc VS Oracle Big Data and see what are their differences

Ideanote
Ideanote is the #1 rated Idea Management solution for companies of all sizes. Collect, develop and manage more of the right ideas from customers and employees to drive your growth. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Google Cloud Dataproc logo Google Cloud Dataproc

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

Oracle Big Data logo Oracle Big Data

Oracle Big Data offers solutions to help organize and analyze diverse data sources alongside existing data.
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • Oracle Big Data Landing page
    Landing page //
    2022-10-12

Google Cloud Dataproc videos

+ Add

Dataproc

Oracle Big Data videos

+ Add

Overview of Oracle Big Data Cloud Service by Mandeep Kaur Sandhu

More videos:

  • Review - Part 1: Oracle Big Data SQL
  • Review - Oracle Big Data Cloud Service - English

Category Popularity

0-100% (relative to Google Cloud Dataproc and Oracle Big Data)

Google Cloud Dataproc

Oracle Big Data

Data Dashboard
83 83%
Data Dashboard
17% 17
Big Data
79 79%
Big Data
21% 21
Development
100 100%
Development
0% 0
Big Data Tools
0 0%
Big Data Tools
100% 100

User comments

Share your experience with using Google Cloud Dataproc and Oracle Big Data. For example, how are they different and which one is better?
Log in or Post with

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

Oracle Big Data mentions (0)

We have not tracked any mentions of Oracle Big Data yet. Tracking of Oracle Big Data recommendations started around Mar 2021.

What are some alternatives?

When comparing Google Cloud Dataproc and Oracle Big Data, 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.

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...

Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)

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

Loading...