Software Alternatives & Reviews

Google Cloud Dataproc VS ILOG JRules

Compare Google Cloud Dataproc VS ILOG JRules and see what are their differences

Google Cloud Dataproc logo Google Cloud Dataproc

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

ILOG JRules logo ILOG JRules

ILOG JRules is a business management system to allow developers and businesses to easily build and deploy a rule-based application that automates variable and fine-grained decisions.
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • ILOG JRules Landing page
    Landing page //
    2023-09-05

Google Cloud Dataproc videos

Dataproc

ILOG JRules videos

Business Process Improvement using IBM WPS and WebSphere ILOG JRules (new)

More videos:

  • Review - Create a Rule Project in IBM ILOG JRules

Category Popularity

0-100% (relative to Google Cloud Dataproc and ILOG JRules)
Data Dashboard
68 68%
32% 32
Business & Commerce
0 0%
100% 100
Big Data
100 100%
0% 0
Development
50 50%
50% 50

User comments

Share your experience with using Google Cloud Dataproc and ILOG JRules. 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

ILOG JRules mentions (0)

We have not tracked any mentions of ILOG JRules yet. Tracking of ILOG JRules recommendations started around Sep 2021.

What are some alternatives?

When comparing Google Cloud Dataproc and ILOG JRules, 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.

SAS Business Rules Manager - Discover how SAS Business Rules Manager lets you create, deploy and manage business rules from one place.

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

Corticon - Progress Corticon Business Rules Engine helps organizations of all kinds make faster decisions by managing the rules that drive business processes.

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

InRule - InRule is a cloud-ready business rule management platform that allows you to change business rules and decisions in the application without requiring JavaScript.