DataFleets is the trusted platform for transformation, feature engineering, entity resolution, SQL, and machine learning.
DataFleets is composed of lightweight Python and SQL APIs that let you use familiar tools, such as TensorFlow, Keras, Spark, and Beam.
Implement privacy controls using code instead of complex manual processes.
We partner with best-in-class data classification tools, so we automatically flag your PII, PCI, PHI and other sensitive data.
To protect privacy, you don’t see row-level plaintext data in DataFleets. Instead, you see a dataset’s schema, notes and comments, summary statistics, and representative synthetic data.
Analytics are in-place and no raw data moves, fulfilling data residency requirements.
Access all your models in a centralized administration platform for reuse, reproducibility, and compliant governance.
DataFleets logs all activity for auditing and privacy assurance.
Control user access by plugging into existing systems, such as Active Directory or OAuth systems, or use DataFleets’ built-in OPA-based access control.
Observe near-perfect preservation of analytics quality, despite privacy manipulations.
Scale to enterprise data loads and across thousands of data silos. Observe effectively no slowdown beyond the thin overhead common to any distributed system.
Linear, neural net, and tree-based models.
Full support of AWS, GCP, Azure, hybrid cloud, multi cloud, and on-premise.
Structured, semi-structured, and unstructured data.