Leader, HFS Horizons: Life Sciences Service Providers, 2025
Enterprises have already invested in collecting, storing, and managing data. The challenge is making it easier to access, trust, and use across analytics and AI initiatives. We help you get more from your Databricks investment by bringing data, governance, and AI together on a platform built for scale.
Less manual data-processing effort
Higher provider data-quality scores
Faster data ingestion and transformation
Faster time-to-value
Removal of manual pipeline steps
Design and build Databricks lakehouse platforms across Azure, AWS, and Google Cloud using Delta Lake and Medallion architecture.
Migrate from Oracle, SAP, Snowflake, Teradata, and DB2 using AI-assisted migration accelerators designed to reduce effort and complexity.
Improve governance through lineage tracking, access controls, the DQX framework, and centralized metadata management.
Build production-ready agents using Genie, Vector Search, MLflow, and Mosaic AI foundation models.
Use ADAM, with 50+ integrations, alongside Databricks capabilities to support AI adoption across the enterprise.
Support data engineering, data quality, and self-service analytics through Auto Loader, Delta Live Tables, DQX, and AI/BI Genie.
Improve cost visibility, right-size workloads, and manage Databricks environments more efficiently over time.
Leader, HFS Horizons: Life Sciences Service Providers, 2025
Emerging Leader, Gartner Innovation Guide for Generative AI Consulting and Implementation Services, 2025
Leader (Mid-market), ISG Provider Lens™ for Databricks Generative AI Services, 2025
Enterprise Innovator, HFS Generative Enterprise Horizon, 2025
Whether you’re modernizing data platforms, improving governance, building AI solutions, or scaling analytics across the business, we can help you make better use of your data and get more value from Databricks.
We appreciate your interest. We will get in touch shortly.