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Peaka is an AI-ready data platform providing federated query and data virtualization to access and combine distributed data, enabling analytics, AI, and applications on Red Hat OpenShift.
Peaka is an AI-ready data platform that enables organizations to access, combine, and operationalize data across distributed environments. Using federated query and data virtualization, Peaka allows teams to query data directly where it resides—across databases, APIs, data warehouses, and other systems—without moving or duplicating it.
Running on Red Hat OpenShift, Peaka provides a scalable and cloud-native data layer for analytics, AI workloads, and data-driven applications. By simplifying access to distributed data, Peaka helps organizations accelerate insight generation, reduce data engineering complexity, and build modern data and AI platforms.
Peaka enables federated queries across databases, data warehouses, APIs, and other data systems. Teams can combine and analyze data from multiple sources in real time without building complex pipelines or moving data between platforms.
Peaka provides a data virtualization layer that allows organizations to access and work with distributed data without replication. This reduces infrastructure complexity, eliminates redundant storage, and simplifies data architecture.
Peaka creates a unified data layer that supports analytics, machine learning, and AI workloads. By providing consistent access to distributed data sources, teams can build AI applications and data products faster.
Peaka connects to a wide range of data sources including databases, APIs, data warehouses, and SaaS systems. This allows teams to query and combine enterprise data regardless of where it is stored.
Running on Red Hat OpenShift, Peaka benefits from Kubernetes-native scalability, high availability, and enterprise-grade security. This enables organizations to deploy and scale their data platform reliably across environments.
Peaka enables organizations to publish, discover, and reuse data products through a built-in data product marketplace. Teams can expose curated datasets, APIs, and analytical assets as reusable data products, allowing data consumers to easily discover and access trusted data across the organization. This approach promotes data sharing, accelerates data-driven development, and supports modern data mesh architectures.
Red Hat certified products are tested to meet Red Hat’s criteria and supported as defined in the Red Hat Collaborative Support Process.
Partner validated products are tested by Red Hat Partners and supported as defined in the Red Hat Third Party Component Policy.
Red Hat OpenShift 4.8+