Overview
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Fractal and Databricks work together to solve business problems at scale
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We leverage our collective strengths to build ML capabilities and data lake solutions, using Databricks platforms
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This partnership is a strategic step toward Fractal’s goal of serving clients end-to-end in their data-to-decision journey
Our Capabilities
AI/ML Platform build on Databricks
Databricks end-to-end Implementation (Data + ML)
Analytical use-case build on Databricks
Unity Catalog Migration on Databricks
Our Services
Create data storage for the clouds you use
Whether you are using AWS, Google Cloud, Microsoft Azure, or a combination of any of the three, you can use Databricks to store and access your data
Build ML capabilities and data lake solutions
Implement and manage your ML solutions on top of Databricks
Scale your Databricks implementation
Get started with Databricks quickly with a proof of concept (PoC), then ramp it up to full deployment
Databricks Accelerators
Open flux
End-to-end MLOps cloud-agnostic solution to expedite ML model industrialization journey
QUARK data platform
Composable and reusable suite of microservices to onboard data sources and transform them into data products
Certifi
AI-based engine to administer and execute sensors for data quality rules followed by cleansing
Metadata catalog
Metadata extraction services for the entire data estate to build a comprehensive metadata repository to drive digital transformation and optimization
Observability
Suite of services to observe all elements of the data estate for various operational metrics to ensure 24×7 uptimes. Helps with scenario simulation for capacity planning FinOps
Marketplace
Persona-based self-discoverable intuitive digital storefront for consumers and producers to share trusted data products fueling new possibilities
