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IBM Confluent

Score9.1 out of 10

27 Reviews and Ratings

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What is IBM Confluent?

IBM Confluent Platform for Z and LinuxONE is an enterprise event streaming platform designed to run on Linux on IBM Z and LinuxONE environments. It enables organizations to create, manage, and process real-time data streams using Apache Kafka-based technologies. The platform provides capabilities for event ingestion, data integration, stream processing, schema management, connectors, and operational management. It supports deployment models including virtual machines, containers, and Kubernetes environments on Linux on IBM Z.

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IBM Confluent Reviews

What users are saying about IBM Confluent.
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Best and most robust data streaming platform!

Incentivized
Verified User
Director in Product Management (501-1000 employees employees)

Use Cases and Deployment Scope

We needed a data streaming platform to support real time data ingestion to our data lake environment. This real time data supported client facing in store and digital use cases for sub second api call classification or product promotions. As well, we looked for a partner who could replace our current technology on Azure and Confluent was able to do so at a global enterprise level.

Pros

  • Streaming real time transactional data to cloud storage locations
  • Data streaming transformation reducing compute expenses on lake and warehouse environments
  • Transfer large size data segments

Cons

  • Cloud based Azure platform features for Confluent lacks behind AWS And GCP

Return on Investment

  • Confluent replaced Microsoft Event Hubs in our environment and unblocked data platform services rollout globally.

Alternatives Considered

TIBCO BusinessEvents, Matillion, Domo and Apache Kafka

Other Software Used

Databricks Lakehouse Platform (Unified Analytics Platform), Snowflake, Azure Blob Storage

Great tool for event driven applications

Incentivized
Verified User
Engineer in Information Technology (10,001+ employees employees)

Pros

  • Products work great.
  • Training is available.
  • Customer support is good.

Cons

  • Cloud service might need more granular configuration.

Return on Investment

  • It enables us to develop event driven application.
  • It increases our ability to handle streaming data.
  • It reduces latency of communication.

Alternatives Considered

Apache Kafka, Google Cloud Pub/Sub and Google Cloud Dataflow

Other Software Used

MongoDB Atlas, Apache Kafka, StreamSets DataOps Platform, Stackdriver, Prometheus, Puppet Enterprise (formerly Puppet Data Center Automation), Azure DevOps (formerly VSTS), edX for Business, Linux Academy, Ubuntu Linux, Red Hat Enterprise Linux (RHEL), InfluxDB, Google App Engine, Medium, Microsoft Visual Studio Code, Canvas, Moodle, Zscaler Internet Access, Azure CDN, Azure Blob Storage

IBM Confluent Alternatives

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