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Every byte of data has a story to tell
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Every byte of data has a story to tell, something of significance that will inform the next thing to be done. In a data-driven enterprise, how we move our data becomes nearly as important as the data itself. With greater speed and agility, data’s value increases exponentially.

From its very early days, we have open-sourced Apache Kafka ® and have led it to impressive industry-wide adoption across several thousand companies. Now we are focusing on building an event streaming platform to help other companies get easy access to enterprise data as real-time streams.

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Enterprise event streaming platform built by the original creators of Apache Kafka.

Unrestricted developer productivity

Democratize Kafka for a wider range of developers and accelerate how fast they build event streaming applications.

Efficent operations at scale

Minimize operational complexity while ensuring high performance and scalability as event streaming grows through your organization.

Production-stage prerequisites

Architect the platform with the foundational enterprise-level attributes needed to implement event streaming in production.

Committer-driven expertise

Leverage the world’s foremost Kafka experts, who work directly with Kafka committers to assist you throughout the application development lifecycle.

Freedom of choice

Deploy On-Premises, in public or hybrid cloud, from bare-metal to Kubernetes, or leverage a fully managed cloud service with Confluent Cloud

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Confluent is a provider of Industrial IoT platform as a service (paas) technologies, and also active in the finance and insurance industries.
Platform as a Service (PaaS)
Data Management Platforms
Finance & Insurance
System Integration
Confluent’s Technology Stack maps Confluent’s participation in the platform as a service (paas) IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
  • Devices Layer
  • Robots
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
Number of Case Studies5
Increases the Pace of Digital Deliveries with a Unified Data Platform
Prior to developing the Unified Data Platform, Alight integrated back-end information within a web portal or a mobile app, for example. This approach had several drawbacks, particularly in the areas of performance, cost, and time-to-market for new solutions.They needed to handle large-scale data changes based upon near-time or real-time events in the system so that they could refresh the cache on-demand with subsecond response times.After further research, discussions with partners, vendors, and others in the industry; and some proof-of-concept (POC) projects the team was ready to move forward with their choice: Apache Kafka.
KeyBank Fuels National Digital Bank Initiative
Real-Time Contact Center Analytics
Deliver real-time analytics for cloud-based communications services in a mission-critical, multi-tenant environment.As a fast-growing multi-tenant SaaS Contact Center solution, 8×8 needed a way to rapidly and cost-effectively add new customers. To support this, the company decided it wanted a single event streaming platform for all of its customers – one that could scale quickly and easily as new customers joined.The platform needed to be multi-tenant, providing strict data separation – a key customer requirement – and it had to be highly resilient given its mission-critical nature. Robust security was also a must since 8×8 handles sensitive caller information. 
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