Apache Spark on IBM POWER
Enhance mission-critical applications
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Overview:
Reduce data interaction complexity, increase processing speed and 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.
Innovate faster
Apache Spark delivers 100x the performance of Apache Hadoop for certain workloads because of its advanced in-memory computing engine.
Accelerate app development
Apache Spark's Streaming and SQL programming models backed by MLlib and GraphX make it easier to build apps that exploit machine learning and graph analytics.
Optimize with open technologies
Apache Spark delivers 100x the performance of Apache Hadoop for certain workloads because of its advanced in-memory computing engine.
Security and privacy in the cloud
When using IBM Cloud offerings, your company can scale and adapt quickly to changing business needs without compromising security, privacy or risk levels.
Features:
Benefits:
Security and privacy in the cloud
When using IBM Cloud® offerings, your company can scale and adapt quickly to changing business needs without compromising security, privacy or risk levels.
This offering meets the following industry and global compliance standards, depending on the edition you choose.
- EU-US Privacy Shield and Swiss-US Privacy Shield Framework
- ISO 27001
- ISO 27017
- ISO 27018
- SOC2 Type 1 (SSAE 16)
Specifications:
Pricing Notes:
- All Prices are Inclusive of GST
- Pricing and product availability subject to change without notice.
Our Price: Request a Quote