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Confluent

Score9.2 out of 10

27 Reviews and Ratings

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What is Confluent?

Confluent Cloud is a cloud-native service for Apache Kafka used to connect and process data in real time with a fully managed data streaming platform. Confluent Platform is the self-managed version.

Categories & Use Cases

Key Features

Learn about the best (and worst!) features Confluent has to offer, as determined by TrustRadius' reviewers.
Based on 27 ratings of Confluent's features
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Top Performing Features

  • Real-Time Data Analysis

    Ability to analyze data in motion

    Category average: 8.6

  • Data Ingestion from Multiple Data Sources

    Ability to ingest data from many sources including Internet of Things (IoT) endpoint data, stock trading data etc, as well as static data

    Category average: 8.8

  • Data Enrichment

    Ability to enrich the data stream with static reference data

    Category average: 7.8

Areas for Improvement

  • Linear Scale-Out

    Easy to scale out or scale down by visually changing the resource allocation. This allows changes in load or traffic to be handled without interruptions

    Category average: 7.6

  • Visualization Dashboards

    Easy-to-understand pictorial illustration of data with graphs charts and dashboards

    Category average: 8.6

  • Integrated Development Tools

    Tools to allow developers to rapidly create streaming applications via a graphical user interface and selection of predefined functions and operators

    Category average: 7.4

Reviews

What users are saying about 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

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