Register for Apache Kafka®, Confluent, and the Data Mesh
Confluent for Financial Services
Leverage the power of data in motion to drive personalized customer experiences, proactively mitigate cyber risk, and drive regulatory compliance.
Learn more about how data in motion is revolutionizing the finance industry with shared, real-time data.
Trusted by the World's Leading Financial Services Organizations
Top 10 US Banks use Confluent across a wide variety of use-cases.
To stay relevant, you’re rapidly evolving to match the pace of disruption by digital-native challengers. Yet, legacy data infrastructures are holding you back. They are slow, complex, expensive, and impede modernization, regulatory compliance, and growth in your business.
Confluent delivers a data in motion platform based on Apache Kafka® to empower you to easily access data as real-time streams, unlock legacy data, and integrate data silos. This enables you to build innovative applications faster and meet the most stringent compliance requirements.
How Confluent Can Help
Deliver Rich Customer Experiences. Mitigate Business Risk. Future-Proof for Scale.
Customer 360
Consolidate data from legacy siloed systems (e.g. mainframes, RDBMs) across different lines of business (retail, capital markets, mortgage, etc.) to get a complete unified view of customers. Automatically update all systems when information is amended. Enables you to respond to customer requests in real-time across communication channels (web, mobile app, call center, branch, etc.).
Real-Time Analytics and Fraud Detection
Aggregate and build data lakes to analyze data in real-time. Integrate into modern cloud-based services for data visualization and reporting. Analyze transactions in real-time to detect fraudulent transactions and send notifications. Perform fraud analytics to identify patterns and power machine learning algorithms.
Cybersecurity and Regulatory Compliance
Capture and aggregate data from all security log sources for centralized management, to identify real-time threats, and to filter appropriate data for downstream analysis with specialized tools for security incident and event management (SIEM). Aggregate data across various lines of business, validate and conform to reporting standards. Build a centralized compliance hub to adhere to various regulatory requirements.
Trading Platform and Market Data as a Service
Provide market data to other companies and provide analytics & recommendations to consumers. Make ratings and analyst data available across systems, subscribers, and customers. Develop an event-driven trading platform that supports high-volume, high-speed trading and provides clients with access to real-time data.
Customer Tracking and Notifications
Deliver a unified digital customer experience by tracking customers throughout the engagement process. Present them with personalized, targeted, contextualized information. Send alerts and notifications in real-time for fraudulent transactions.
Explore Common Use Case Recipes
Go from idea to proof-of-concept with a toolkit of code samples for the most popular use cases in the financial services industry.
Detect Unusual Credit Card Activity
Automate Payment Verifications
Create Personalized Banking Promotions
Modernize and Offload Mainframe Data
Enrich Orders with Change Data Capture (CDC)
Analyze Customer’s Online Journey
Detect and Analyze SSH Attacks
Create Geolocation Alerts and Promotions
Industry Recognition
Industry Compliance
From the original creators of Apache Kafka, Confluent provides a data in motion platform with powerful enterprise features that enable financial services organizations to comply with the following regulatory requirements.
Why Confluent?
Accelerate application development, reduce operational burden and costs, fast track to the cloud and propel your businesses forward
Unrestricted Developer Productivity
Democratize Kafka for a wider range of developers and accelerate how fast they build event streaming applications.
Efficient Operations at Scale
Minimize operational complexity while ensuring high performance and scalability as data streaming grows through your organization.
Freedom and Flexibility
Deploy on-premises, in public or hybrid cloud, from bare-metal to Kubernetes, or leverage a fully managed, cloud-native service with Confluent Cloud
Committer-Driven Expertise
Built by the original creators of Kafka, get Gold Support from the world’s foremost Kafka experts, who work directly with Kafka committers to assist you throughout the application development lifecycle.
Production-Stage Prerequisites
Architect the platform with the foundational enterprise-level attributes needed to implement event streaming in production.
Modernize workloads incrementally over time, to reduce TCO and operational complexity
With support for traditional messaging patterns (Point-to-point and Publish/Subscribe routing semantics) in Confluent, migrate at your own pace without business disruption. Leverage a rich connector ecosystem and applications that natively have Kafka built-in. With Usage based billing, you only pay for what you use.
Why Customers Love Confluent
Citigroup
“You have real-time data: stock prices, things that are ticking. You have data that's pretty static: terms and conditions, things like that. And then you have data that's updating periodically: things like position updates. If you can use a tool like Kafka to pull all that data together and combine it in ways that you display to end users—whether they be traders, salespeople, managers—and you provide them analytics across that data, it's extremely powerful.”
Leon Stiel, Director, Citigroup
Resources
Whitepapers
- The Ongoing Disruption of Banking: The Shift to Data in Motion
- Transforming Financial Services to Meet the New Wave of Digital Adoption
- [Datasheet] How Confluent Helps You to Power the Future of Financial Services
- Build a Foundation for Tomorrow’s Financial Services
- Top 3 Event Streaming Use Cases for Financial Services
Webinars
- JP Morgan Chase: Secure Kafka at Scale in a True Multi-Tenant Environment
- Apache Kafka and Event Streaming in Hedge Fund Technology
- AI and Machine Learning for Financial Services
- Events and Stream Processing at Nationwide Building Society
- Bloomberg: Migrating from a Legacy System to Kafka Streams using Kafka Connect and KSQL
- Bloomberg: Profiling and Optimizing Kafka Streams Apps
- Capital One: Kafka for Real-Time Event Processing in Serverless Environments