Providing the core for your banking data infrastructure
Explore how Kafka revolutionizes banking with real-time data processing, enhancing transactions, fraud detection, and customer insights.


Unlocking efficiency and sustainability in the banking sector

User-friendly, real-time data integration significantly enhances operational efficiency in banking. It enables immediate adjustments to financial transactions and customer service operations, ensuring responsiveness, minimizing errors, lowering operational costs, and improving service reliability. As an IT architect or engineer, you can swiftly make informed decisions to ensure that banking services precisely meet customer demand. This is crucial for maintaining system reliability, enhancing customer satisfaction, and reducing unnecessary expenditures.
By using real-time data, you can optimize resource allocation, avoid unnecessary spending, and achieve significant cost savings while improving operational efficiency and sustainability.


Our real-time data management solutions are crafted for easy use, ensuring easy adoption and seamless integration into existing banking systems. Our user-friendly all-in-one Kafka platform promotes effortless data sharing and collaboration among diverse entities. Leveraging advanced data streaming technology, you can securely share essential information with partners without compromising sensitive data. This increases resource efficiency, improves demand forecasting accuracy, and streamlines banking operations for optimal performance.

Customer case studies
Read use cases and success stories from our customers

Read how PTSB launched real-time payments on a governance-first Kafka platform, cutting latency from 10 seconds to under 1 second and setting the foundation for enterprise-wide event streaming.

Learn how Axual powers real-time energy trading with 99.9% uptime, sub-second latency, unified data streaming, reduced operational complexity, and scalable support for increasing renewable energy data volumes.

See how Enexis uses Axual to combine Strimzi's open-source framework with enterprise features to transform smart metering with real-time data streaming.

Learn how TenneT moved from batch to real-time processing, gained continuous grid visibility, and scaled secure, governed monitoring across its network.

Learn how Logius modernized Dutch government communications with a governed, on-prem Kafka platform delivering real-time messaging, data sovereignty, and full auditability.

Learn how PostNL modernized its parcel tracking by implementing a centralized Kafka platform that processes over 100 million messages per day.

Learn how Axual supports 17,000 healthcare organizations across Norway with secure event streaming, sub-100ms clinical latency, full audit coverage, and 99.999% reliability.

Learn how ASN Bank freed 3 DevOps teams, enabled 50+ dev teams, and replaced fragmented systems with one centralized multi-AZ Kafka platform.

Read how Rabobank became an event-driven bank and scaled Kafka across 300+ DevOps teams.

Learn how Eneco uses Axual’s Enterprise Kafka platform with self-service governance and ongoing operational support for its mission-critical energy data streams.
In the banking industry, it's crucial to prioritize the ease of use when integrating real-time data platforms. As an IT architect or engineer, you can have immediate access to both internal and external data, which is essential for optimizing financial operations and client services. Our user-friendly interfaces make it easy to integrate real-time data into banking systems, allowing for quick adjustments in transaction processing and risk management. This approach reduces inefficiencies, improves resource allocation, lowers operational costs, and enhances overall system reliability.

Reliability and ease of use are crucial for mission-critical operations in banking. Leveraging real-time IoT and financial data enhances decision-making processes. User-friendly interfaces enable seamless collection and analysis of data from diverse sources and banking components. This capability facilitates accurate forecasting of market trends, efficient trading, and insightful analysis of customer behavior patterns. Therefore, you can anticipate market shifts and mitigate risks, ensuring stable and cost-effective financial operations.

It is vital for banking institutions to have effective data streaming in place to ensure reliability and operational efficiency. Sharing real-time data across the financial ecosystem is essential for optimizing service delivery and financial transactions. User-friendly data streaming solutions enable seamless communication and coordination between banking entities, facilitating quick decision-making and operational agility. Our all-in-one Kafka platform simplifies data management with secure and efficient technologies, ensuring data integrity and enhancing overall system performance.









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