Reduce data interaction complexity, increase processing speed and enhance mission-critical applications
Overview
Enhance mission-critical applications
Apache Spark is an open-source cluster computing framework optimized for extremely fast and large scale data processing. Developed in the AMPLab at UC Berkeley, Apache Spark can help reduce data interaction complexity, increase processing speed and enhance mission-critical applications with deep intelligence.
Features
Enterprise security and compliance
Support compliance with EU-US and Swiss-US Privacy Shield frameworks by enabling secure data handling and transfer practices. Help organizations manage cross-border data flows with confidence while maintaining transparency, protecting user privacy, and aligning with evolving regulatory expectations.
Support ISO 27001 requirements by helping organizations implement strong information security management practices. Enable secure data processing, protect sensitive workloads, and maintain consistent controls that strengthen risk management and operational security across environments.
Help organizations align with ISO 27017 by supporting cloud-specific security controls and best practices. Enable secure deployment of analytics workloads while improving governance, protecting data in cloud environments, and enhancing trust in shared infrastructure.
Assist in meeting ISO 27018 guidelines by supporting the protection of personal data in cloud environments. Enable organizations to manage sensitive information responsibly, strengthen privacy controls, and build user trust through secure data processing practices.
Support SOC 2 Type 1 requirements by enabling controls that demonstrate secure handling of data and systems. Help organizations improve audit readiness with clear processes, strengthen accountability, and provide assurance around security and operational integrity.
Use cases
Drive faster outcomes from your data
Support faster innovation and intelligent application development with advanced analytics capabilities. Simplify data processing, accelerate solution delivery, and enable adoption of open technologies while supporting secure cloud growth, scalability, and data privacy requirements.
Process data-intensive workloads more efficiently to reduce analysis times and accelerate innovation. Faster data processing helps teams uncover insights sooner and respond more quickly to new opportunities.
Develop applications that use machine learning, graph analytics, and streaming data to deliver new capabilities faster. This approach helps teams bring intelligent solutions to market more efficiently.
Use open technologies to support high-performance data processing and analytics workloads. This approach helps organizations optimize resources while maintaining flexibility and interoperability.
Adapt to changing business demands by scaling cloud-based workloads while maintaining security, privacy, and risk management requirements across environments.
Resources
Discover expert resources
Explore the latest Apache Spark on IBM Power resources, including product documentation, services, and resource library content. Find guidance for deployment, configuration, administration, and ongoing management to help you get the most from your environment.
IBM® Power® is a family of high-performance servers built to meet today’s—and tomorrow’s—challenges.
Pricing
Pricing & licensing for Power
Find the pricing model that fits your recovery objectives and infrastructure needs. Compare subscription tiers, deployment options, and feature bundles that help you optimize cost while maintaining enterprise‑grade continuity.