Version data, capture immutable lineage, and process petabyte-scale workloads — so data engineering teams accelerate time to reliable ML models.
A unique architecture automates pipelines and runs sophisticated transformations on any data type — cost-effective at any scale.
Reproducible by default, scalable to petabytes, and flexible enough to fit any stack.
Immutable lineage and full versioning reproduce any outcome for auditing and compliance.
Autoscaling and parallelization cut processing from weeks to hours — no code rewrites.
Any language, any data type, batch or streaming, on premises or in the cloud.
Pipelines that automatically trigger and capture lineage so any outcome can be reproduced.
Round out your ML and data strategy with the rest of the GreenLake portfolio.
A single source of truth to make smart decisions and recommendations.
Implement and train ML models faster while optimizing cost and complexity.
The edge-to-cloud platform behind more than 50 cloud services.
Acquire the technology you need now — align payments with your budget and deployment timeline.
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