Leverage Confluent’s data in motion platform to unlock your mainframe data for real-time insights without incurring the complexity and expense that come with sending ongoing queries to mainframe databases
From order processing to financial transactions, inventory control to payroll, mainframes continue to support many mission-critical applications, still performing the majority of batch processing for many enterprises. Data-driven enterprises need real-time access to mainframe data to feed distributed applications, microservices and other business operations, and to enable organizations to use all their data for competitive advantage.
Confluent enables you to combine data from mainframes with real-time data across the rest of your organization to increase the benefits of both.
Augment with Apache Kafka to build a more modern data-store and keep it in real-time sync with the mainframe.
Reduce overall operational expenses while providing a path for architectural modernization.
Enable event-driven microservices and deliver to other systems such as data warehouses and search indexes.
Reduce reliance on batch processing. Capture mainframe data in real-time for fast analytics and business intelligence with minimal latency. Correlate with other data to drive the needs of the digital enterprise.
Reduce the complexity of aging technology that's deeply interwoven with the specific logic of the business. Integrate mainframe legacy applications with modern distributed applications by making the data readily available with event streaming.
Save MIPS related license fees while seamlessly scaling your deployment to service your rapidly growing digital service loads.
You’re only as good as the experiences you create. Confluent allows organizations to process mainframe data along with real-time inventory, fraud detection, IoT diagnostics, and analytics, among many more possibilities. Whether your organization needs simple pub/sub messaging, real-time data analytics, or a complete digital transformation, our data in motion platform brings a myriad of benefits for the new era of big data.
Utilize a broad array of source and sink connectivity to empower modern applications
Apache Kafka can act as a buffer between mainframe data and modern applications, enabling complete integration without substantial re-architecture or rewrite
Combine with streaming data from a variety of sources with mainframe data, enriching and curating midstream using ksqlDB
Use Confluent’s stream processing capabilities to apply advanced analytics and machine learning capabilities to mainframe data.
Sync mainframe data to a fully managed event streaming service and reduce overall operational costs while increasing agility
Alight Solutions, a leader in technology-enabled health, wealth and human capital management solutions, used Confluent to align the company's internal organization with its next-generation digital strategy to reduce barriers to enterprise innovation and accelerate new digital products to the marketplace.
Originally built by the founders of Confluent, Apache Kafka is used by 80% of the Fortune 100 to modernize their infrastructure with scalable data integration, real-time pipelines, and event stream processing, to big data analytics and machine learning.
As founders and original creators of Apache Kafka, we’ve extended Kafka to create a truly secure, resilient and compliant data in motion platform that’s available across hybrid and multicloud environments.
Fully managed, cloud-native service for Apache Kafka
Deploy in minutes. Pay as you go. Available everywhere your data needs to be.