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IBM Analytics Engine VS Google Cloud Dataproc

Compare IBM Analytics Engine VS Google Cloud Dataproc and see what are their differences

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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 logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • IBM Analytics Engine Landing page
    Landing page //
    2023-07-11
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

IBM Analytics Engine videos

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Google Cloud Dataproc videos

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Dataproc

Category Popularity

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

IBM Analytics Engine

Google Cloud Dataproc

Data Dashboard
9 9%
Data Dashboard
91% 91
Big Data
13 13%
Big Data
87% 87
Data Warehousing
17 17%
Data Warehousing
83% 83
Development
0 0%
Development
100% 100

User comments

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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.

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.

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: about 2 years ago

What are some alternatives?

When comparing IBM Analytics Engine and Google Cloud Dataproc, 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.

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.

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

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

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

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

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