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ILOG JRules VS Confluent

Compare ILOG JRules VS Confluent and see what are their differences

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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.

Confluent logo Confluent

Confluent offers a real-time data platform built around Apache Kafka.
  • ILOG JRules Landing page
    Landing page //
    2023-09-05
  • Confluent Landing page
    Landing page //
    2023-10-22

ILOG JRules videos

+ Add

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

More videos:

  • Review - Create a Rule Project in IBM ILOG JRules

Confluent videos

+ Add

1. Intro | Monitoring Kafka in Confluent Control Center

More videos:

  • Review - Jason Gustafson, Confluent: Revisiting Exactly One Semantics (EOS) | Bay Area Apache Kafka® Meetup
  • Review - CLEARER SKIN AFTER 1 USE‼️| Ancient Cosmetics Update✨| CONFLUENT & RETICULATED PAPILLOMATOSIS CURE?😩

Category Popularity

0-100% (relative to ILOG JRules and Confluent)

ILOG JRules

Confluent

Business & Commerce
100 100%
Business & Commerce
0% 0
Stream Processing
0 0%
Stream Processing
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using ILOG JRules and Confluent. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Confluent seems to be more popular. It has been mentiond 1 time 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.

ILOG JRules mentions (0)

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

Confluent mentions (1)

  • Spring Boot Event Streaming with Kafka
    We’re going to setup a Kafka cluster using confluent.io, create a producer and consumer as well as enhance our behavior driven tests to include the new interface. We’re going to update our helm chart so that the updates are seamless to Kubernetes and we’re going to leverage our observability stack to propagate the traces in the published messages. Source: about 2 years ago

What are some alternatives?

When comparing ILOG JRules and Confluent, you can also consider the following products

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

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

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

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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.

Spark Streaming - Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.

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