Software Alternatives & Reviews
Register | Login

Google Cloud Dataproc VS IBM Analytics Engine

Compare Google Cloud Dataproc VS IBM Analytics Engine 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

IBM Analytics Engine logo IBM Analytics Engine

Analytics Engine is a combined Apache Spark and Apache Hadoop service for creating analytics applications.
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • IBM Analytics Engine Landing page
    Landing page //
    2023-07-11

Google Cloud Dataproc videos

+ Add

Dataproc

IBM Analytics Engine videos

No IBM Analytics Engine videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Google Cloud Dataproc and IBM Analytics Engine)

Google Cloud Dataproc

IBM Analytics Engine

Data Dashboard
91 91%
Data Dashboard
9% 9
Big Data
88 88%
Big Data
12% 12
Development
100 100%
Development
0% 0
Data Warehousing
84 84%
Data Warehousing
16% 16

User comments

Share your experience with using Google Cloud Dataproc and IBM Analytics Engine. 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 / about 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

IBM Analytics Engine mentions (0)

We have not tracked any mentions of IBM Analytics Engine yet. Tracking of IBM Analytics Engine recommendations started around Mar 2021.

What are some alternatives?

When comparing Google Cloud Dataproc and IBM Analytics Engine, 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?

Snowflake - Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.

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

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

Loading...