Allston Yale is a Texas Microsoft Fabric consultant that works across the full range of modern data tools. Think of this page as the map: the platforms we build on, the ones we connect with, and where to go next based on what your team already runs and what is actually hurting.
The reporting layer most of our clients live in. If dashboards are the immediate need, start on our Power BI consultant page, which covers how we build models and reports your team can trust.
The data platform beneath the reporting, and our main build target for teams outgrowing plain Power BI. Our Microsoft Fabric consulting page covers lakehouse design, pipelines, and capacity sizing for a lean team.
Microsoft's cloud platform for data storage, AI, and analytics, delivering the secure, high-performance foundation that Microsoft Fabric and Power BI run on.
A lakehouse platform that unifies data engineering, data science, and analytics, bringing large-scale processing and machine learning into one collaborative workspace.
A cloud data platform that separates storage from compute, so teams can scale analytics elastically and share governed data across clouds.
A serverless, fully managed data warehouse that runs fast SQL analytics over massive datasets with no infrastructure to provision or maintain.
Amazon's cloud data warehouse, engineered for fast query performance and tight integration with the wider AWS data and analytics ecosystem.
A business data fabric that connects SAP and non-SAP sources while preserving the business context your reporting and analytics depend on.
An enterprise analytics platform built for complex, high-concurrency workloads that span hybrid and multi-cloud environments at massive scale.
A self-driving database platform that automates tuning, patching, and scaling to keep mission-critical enterprise workloads fast, available, and secure.
Getting data where it needs to be is half the battle. We build and maintain pipelines with Matillion, Fivetran, and Coalesce, moving and shaping your sources into analytics-ready form instead of leaving your team to wire it together by hand.
A cloud-native data integration platform that accelerates ETL, simplifying how you transform and combine data from many sources into analytics-ready form.
An automated data pipeline platform that keeps analytics current through managed connectors, reducing the manual effort and complexity of data movement.
A data transformation platform that pairs visual design with code, automating pipeline development for scalable, high-performance analytics on modern warehouses.
Many teams reach us mid-migration. We know Tableau, Looker, Qlik, Cognos, and MicroStrategy well enough to move their reports into Power BI cleanly, or to integrate where a full move is not on the table.
A visual analytics platform known for fast, interactive dashboards and exploratory data discovery, now part of the Salesforce ecosystem.
Google's BI platform built on a governed modeling layer, delivering consistent metrics and embedded analytics across web and cloud applications.
An analytics platform powered by an associative engine, letting users explore relationships across data freely rather than down predefined query paths.
IBM's enterprise reporting and analytics suite, long trusted for pixel-perfect reports, scheduled distribution, and governed self-service across large organizations.
An enterprise BI platform with a strong semantic layer, built for governed reporting and analytics at scale across the whole organization.
A cloud-native analytics platform with a familiar spreadsheet interface, letting teams explore live warehouse data collaboratively for real-time business insights.
If reporting is the pain, start on the Power BI consultant page. If the data platform underneath is creaking, start with Microsoft Fabric consulting. If you are not sure which, that is exactly the conversation we are glad to have first.




