In clinical informatics, every second counts. For Alcidion, a global leader in smart health solutions, the mission is simple but critical: use technology to reduce cognitive load for clinicians and present the right information at the right time to save lives.
Whether it’s managing patient flow in an emergency department or ensuring a patient is in the correct ward to avoid adverse outcomes, Alcidion’s flagship platform, Miya Precision, serves as a dynamic intelligent care platform for modern hospitals. To power this mission, the platform recently underwent a major architectural transformation, migrating from a legacy Microsoft SQL Server environment to Google Cloud’s AlloyDB for PostgreSQL.
The challenge: overcoming performance bottlenecks
Operating in an industry where data integrity and uptime are non-negotiable, Alcidion faced several technical and operational hurdles with its previous setup:
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Operational overhead: Managing persistent backends for SQL Server required significant manual effort. The team had to manually balance database loads between elastic pools to maintain performance while trying to optimize costs. They also had to constantly manage the gap between allocated and used space to prevent shared pools from being consumed by excessive slack space.
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Performance latency: Complex JSON data processing, critical for modern health informatics, was taking up to 30 minutes for certain jobs.
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Stability concerns: The team sought a more stable Kubernetes environment and a persistent backend that could scale without constant administrative intervention.
The solution: a smooth migration to AlloyDB
Alcidion used the Database Migration Service (DMS) to move from SQL Server to AlloyDB, achieving a remarkably efficient cutover. The total learning and migration process took under one month, with the core database move completed in only one and a half weeks.
By creating custom synchronization tools and using Google Cloud’s managed services, the team reduced the final transition window to just 15 minutes. Alcidion achieved this by spinning up a new Google Cloud instance synchronized to the active one, with both accessible via unique fully qualified domain names. The new environment remained in read-only mode for customer validation.
During the final cutover, the old instance was set to read-only, synchronization was halted, and external integration links were toggled to the new environment. This streamlined process allowed users to log into the new instance and resume work within minutes, with the primary delay being DNS record updates.
Alcidion chose a fully managed AlloyDB service to eliminate control plane tasks and administrative overhead. This shift allows their engineering team to focus on clinical innovation and product development rather than “managing the container” or the underlying database infrastructure.
Being able to cut over to AlloyDB in about 15 minutes had our users back to work almost immediately. For a system clinicians rely on around the clock, that kind of smooth transition gave Alcidion real confidence.
The results: impact by the numbers
The shift to AlloyDB and Google’s Agentic Data Cloud has delivered immediate, quantifiable improvements for Alcidion and its healthcare customers:
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Faster data processing: Data processing that previously relied on SQL Server stored procedures — a process that became increasingly time-consuming as data volumes grew — has been transformed. By migrating to AlloyDB and using BigQuery and Dataflow for processing, Alcidion has seen jobs that once took 30 minutes now complete in just 5 to 60 seconds.
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Enhanced stability: The migration has delivered a step-change in reliability. In the previous environment, the team faced monthly disruptions, ranging from failed scheduled maintenance to connectivity issues that required manual intervention. In contrast, AlloyDB and Google Cloud’s compute services have proven exceptionally stable, allowing the team to move away from the “firefighting” mode associated with frequent infrastructure crashes.
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Reduced cognitive load: By simplifying their backend and clinical dashboards, Alcidion’s SREs have significantly reduced their administrative burden. This shift has freed the team to focus on high-value innovation, such as refining predictive analytics and generative AI that empower clinicians to make informed clinical decisions faster.
Future vision: AI and beyond
Alcidion isn’t stopping at database modernization. The move to AlloyDB is a foundational step for their next phase of growth:
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AlloyDB columnar engine: The team is exploring the columnar engine for a second round of query optimization and real-time analytics.
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Generative AI apps: Alcidion is actively working with Google to use AlloyDB’s Gemini Enterprise Agent Platform integration to perform concept analysis and pick out critical clinical insights from vast datasets.
By moving to AlloyDB, Alcidion has improved its stability and performance and built a strong foundation to keep delivering smarter, safer care to hospitals worldwide.
Ready to modernize your database? Learn more about how AlloyDB can transform your operational workloads.
