Segment & Geographic Data Quant-Grade Normalized (live API) API & CSV Delivery

Confluent Inc's Business Segments

Confluent Inc's reported revenue by business segment and by geographic region, quarterly and annual, normalized against the consolidated income statement. Free below: the top 3 rows per table, this quarter and this fiscal year. Subscriber access adds the full segment history and operating income by segment.

Segment Data As of FY
Reportable Segments
5
Per the company's own filing, this quarter
Largest Segment
Subscription
96.2% of revenue
Total Revenue
$ 1,166
Consolidated, this quarter
Regions Reported
2
Geographic regions, this quarter
API endpoints for this dataset
https://api.csimarket.com/api/v1/companies/CFLT/segments
https://api.csimarket.com/api/v1/companies/CFLT/geographic
https://api.csimarket.com/api/v1/companies/CFLT/exposure
Programmatic access for models, analytics, and integration workflows.
Pull these exact ratios programmatically
Dataset & schema
https://api.csimarket.com/api/datasets/business_segments
https://api.csimarket.com/api/schema/business_segments
https://api.csimarket.com/api/meta/business_segments

Revenue Share by Reportable Segment - FY

96%largest
  • Subscription96.2%
  • Confluent Cloud54.1%
  • Confluent Platform - PCS31.4%
  • Confluent Platform - License10.7%
  • Services4.1%

Revenue by Reportable Segment - FY

SegmentPeriodRevenue
(Millions)
% of TotalOperating Income
SubscriptionFY$ 28696.2%-
Confluent CloudFY$ 16154.1%-
Confluent Platform - PCSFY$ 9431.4%-
2 more segments available

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Revenue Share by Region - FY

58%largest
  • United States57.8%
  • International42.5%

Revenue by Geographic Region - FY

RegionPeriodRevenue
(Millions)
% of Total
United StatesFY$ 17257.8%
InternationalFY$ 12642.5%

Description of Confluent Inc

Confluent is on a quest to move data. We pioneered a new kind of data infrastructure that connects all of a companys applications, systems, and data layers around a real-time central nervous system. This new data infrastructure software has emerged as one of the most crucial components of the next-generation technology stack, and harnessing data in motion with this stack is vital to the success of modern businesses as they struggle to compete and win in the digital-first world.
Confluent Inc. is a leading provider of solutions for data in motion, primarily built around Apache Kafka, which is an open-source stream-processing platform. Their offerings extend beyond mere message brokering; they encompass a comprehensive suite of products and services that enable organizations to harness the power of real-time data for various use cases. Here’s an extensive overview of the segments, products, and services offered by Confluent:

Segments

1. Data in Motion: This segment focuses on enabling organizations to manage, process, and analyze data as it is created. It supports use cases like real-time analytics, monitoring, and event-driven application architecture.

2. Enterprise Data Infrastructure: Confluent provides the foundational infrastructure that companies require to build robust, scalable systems for data integration, processing, and distribution.

3. Cloud-Native Solutions: With the increasing shift towards cloud infrastructure, Confluent has tailored its offerings for cloud-native environments, catering to organizations looking for managed services.

4. Proactive Security and Compliance: The platform incorporates features designed to ensure businesses can maintain compliance with regulatory requirements and safeguard data integrity and privacy.

Products

1. Confluent Cloud:
- A fully-managed, cloud-native platform available across major cloud providers (AWS, GCP, Microsoft Azure).
- It features a pay-as-you-go model, allowing customers to scale without upfront costs.
- Key attributes include:
- Serverless capabilities for simplified provisioning, zero-downtime upgrades, and elastic scaling.
- Data Compatibility, allowing rapid application development through fully-managed connectors and ksqlDB.
- Flexible Deployment for hybrid cloud solutions and integration with on-premises systems.
- High Availability with a guaranteed uptime SLA and multi-AZ replication.
- End-to-End Security with encryption at rest and in transit, alongside robust user authentication mechanisms.

2. Confluent Platform:
- An enterprise-grade software solution that can be self-managed on-premises or across private and public clouds.
- Key features include:
- Enhanced Developer Productivity with support for multiple languages, a rich set of over 100 pre-built connectors, and unified databases for data processing.
- Operational Efficiency that reduces complexity while enhancing performance, making it ideal for enterprise-scale applications.
- Production-Ready Features that provide essential components for implementing data in motion within organizations.
- Choice of Deployment to cater to varying cloud strategies, whether fully on-premises, fully cloud-based, or hybrid.

Core Features

1. Rich Pre-Built Ecosystem:
- Connectors that facilitate seamless integration with various data systems, reducing setup time.
- ksqlDB, enabling SQL-like operations on streaming data, making it easier for developers familiar with traditional databases to work with real-time data.
- Schema Registry for defining and managing standards for data schemas, ensuring compatibility across systems.

2. Management, Monitoring, and Resilience:
- Confluent Control Center (C3) offers intuitive visualizations for managing data streams and monitoring system health.
- Multi-Region Clusters support disaster recovery and enhance data availability.
- Cluster and Schema Linking facilitates geo-replication and integration between on-premises and cloud-based environments.

3. Dynamic Performance and Scalability:
- Self-Balancing Clusters automate optimal resource allocation and workload distribution.
- Tiered Storage allows cost-effective management of long-term storage needs while optimizing data retrieval performance.
- Elastic Scalability supports handling trillions of events, crucial for large-scale enterprise applications.

4. Enterprise-Grade Security:
- Structured Audit Logs for comprehensive tracking of authorization and access events.
- Role-Based Access Control (RBAC) helps manage user permissions across the platform at various granular levels.
- Stream Governance Features aid in compliance and data management, fostering collaboration and data discovery.

5. Data Compatibility and DevOps Automation:
- Schema Validation to enforce data integrity.
- Confluent Operator for Kubernetes, allowing seamless cloud-native deployments and lifecycle management of the Confluent Platform.

Services

1. Professional Services:
- Tailored offerings that provide expert guidance to accelerate platform adoption and ensure that customers realize their desired outcomes. This may encompass planning, implementation, management, monitoring, and optimization of Confluent solutions.

2. Education:
- A series of training and certification programs designed to empower users with the knowledge needed to leverage Confluents offerings effectively. These programs include a variety of delivery methods, such as instructor-led classes and self-paced modules.

3. Certification Program:
- Credentials for technical professionals looking to validate their expertise in data in motion, which enhances their career prospects in this high-demand area of technology.

Use Cases

Confluent’s solutions can be utilized across diverse industries and applications, including:

- Real-Time Analytics: Enabling organizations to analyze data as it streams in, improving decision-making and response times.
- Event-Driven Architectures: Supporting the development of applications that react to events in real-time, enhancing user experiences.
- Data Integration: Streamlining the flow of data across systems and platforms, breaking down organizational silos.
- IoT Applications: Handling a massive influx of data from connected devices, enabling real-time monitoring and control.

In conclusion, Confluent Inc. offers a comprehensive suite of products and services designed to enable businesses to maximize the value of their data in motion. Their commitment to flexibility, scalability, security, and ease of use makes them a strong player in the data infrastructure landscape.