Process data at massive scale.
Quickly develop and scale Spark projects in the cloud using existing skills
Focus on delivering high performance analytics and value to the business. Spend less time on DevOps. With Spark Serverless, there is no need to provision and manage servers.
Reduce cost of data processing by up to 80%
Respond to business needs in real time, get elasticity at runtime, and automatically scale up and down. Ask more from your IT budget by leveraging spot instances and never paying for idle servers.
Easily turn massive amounts of data into trusted insights at cloud scale
Easily design and deploy Spark data processing, complex transformations and machine learning jobs in the cloud. It’s never been simpler to submit a Spark job.
Support for Delta Lake (tech preview)
Seamlessly integrate data to and from Delta Lake, leveraging its ACID compliance, time travel (data versioning), and unified batch and streaming processing. Empower Delta Lake users with comprehensive data quality and governance to support machine learning and advanced analytics.
René Greiner, Vice President, Enterprise Data Integration, Uniper SE
With our new data analytics platform, powered by Talend, we now can better understand where the market is going, which helps us optimize energy trading while managing risk and complying with regulations.