Bellevue, WA – July 22, 2025
Blueprint Technologies, a leading provider of data intelligence and cloud cost optimization solutions, today announced its inclusion as a Sample Vendor in nine recently published Gartner Hype Cycle reports:
- Hype Cycle for Data Management, 2025
- Hype Cycle for Data, Analytics and AI Leaders and Programs, 2025
- Hype Cycle for Container Technology, 2025
- Hype Cycle for Infrastructure and Operations, 2025
- Hype Cycle for Midsize Enterprises, 2025
- Hype Cycle for AI in IT Operations, 2025
- Hype Cycle for Site Reliability Engineering, 2025
- Hype Cycle for Monitoring and Observability, 2025
- Hype Cycle for IT Operations, 2025
The company was recognized under the category of Augmented FinOps, which Gartner identifies as a transformational technology that uses AI/ML to automate cloud financial operations and align spending with business outcomes.
According to Gartner, “Algorithmically driven cloud budget planning and financial operations will enable businesses to express their objectives… in natural language… [leading to] optimal spending by reducing misaligned or poor use of cloud infrastructure and service offerings.”
Blueprint addresses this challenge head-on with the Lakehouse Optimizer, an AI-powered cloud financial management solution purpose-built for Databricks customers. The platform helps organizations tie cloud spending directly to business value by delivering intelligent forecasting, executive insights, vendor consolidation opportunities, and automated recommendations to eliminate waste and drive efficiency across data platforms.
Use cases supported by the Lakehouse Optimizer include:
- Unexpected Cost Spikes:
Immediate visibility and alerts on anomalous consumption, enabling rapid resolution and prevention of budget overruns. - Unit Economics and Chargeback:
Executive-ready insights that map spend to business units and use cases, supporting accurate cost attribution and accountability. - Governance and Optimization:
Intelligent policy enforcement, job-level tuning, and workload right-sizing across Databricks environments. - Forecasting and Budget Planning:
AI-driven predictions based on historical and real-time usage trends to support smarter planning and FinOps maturity. - Vendor Consolidation and Spend Rationalization:
Holistic cost visibility across tools and platforms, reducing overlapping investments and simplifying operations.
“Being recognized by Gartner in both the Data Management and Infrastructure & Operations Hype Cycles reinforces the strategic importance of what we’ve built,” said Ryan Neal, President at Blueprint Technologies. “Any consumption-based platform must have governance, visibility, and controls. The Lakehouse Optimizer delivers exactly that for Databricks customers, giving them the confidence to invest more, not less, because they can tie every dollar spent to high-value, revenue-generating initiatives. That’s how we’re helping enterprises do more with more.”
To learn more about the Lakehouse Optimizer, visit: https://bpcs.com/databricks/lakehouse-optimizer
About Blueprint Technologies
Blueprint Technologies is a data intelligence firm helping enterprises maximize the value of their cloud investments. As a leading Databricks partner and creator of the Lakehouse Optimizer, Blueprint empowers organizations to govern, optimize, and scale their data platforms with confidence. Our accelerator-based solutions span data modernization, governance, and GenAI enablement, driving outcomes tied directly to revenue and impact. Headquartered in the greater Seattle area with teams across the U.S. and Europe, Blueprint believes delivering the right data to the right person at the right time has the power to transform industries and the world.
Are you a Gartner subscriber? Read about us here:
- Hype Cycle for Data Management, 2025
- Hype Cycle for Data, Analytics and AI Leaders and Programs, 2025
- Hype Cycle for Container Technology, 2025
- Hype Cycle for Infrastructure and Operations, 2025
- Hype Cycle for Midsize Enterprises, 2025
- Hype Cycle for AI in IT Operations, 2025
- Hype Cycle for Site Reliability Engineering, 2025
- Hype Cycle for Monitoring and Observability, 2025
- Hype Cycle for IT Operations, 2025
