Lakehouse consulting firms
These providers have a current first-party project or case page that names a lakehouse implementation. Platform tags and general capability pages do not qualify a firm for this list.
Providers with published implementation evidence
Each summary below is scoped to what the provider says on its own project page. These are vendor claims, not independent outcome verification. Check the linked source and confirm that the team and credentials remain current before procurement.
| Firm | Observed | Scoped provider claim | Provider source | Profile |
|---|---|---|---|---|
LovelyticsProvider-published project evidence | Lovelytics says it helped Xcel Energy build a geospatial AI platform for wildfire mitigation that combines raster imagery, vegetation data, and AI models in the Databricks Lakehouse. | Read the provider source: Announcing the Geospatial AI Accelerator, Our Latest Brickbuilder | Review profile | |
Tiger AnalyticsProvider-published project evidence | Tiger Analytics says it implemented a Databricks lakehouse for Pelabuhan Tanjung Pelepas, centralizing structured and unstructured data and using Unity Catalog for governance, security, and discovery. Its published scope covers real-time analytics across operations, productivity, maintenance, and finance. | Read the provider source: PTP Gains Real-Time Insights with Databricks Lakehouse Platform | Review profile | |
TredenceProvider-published project evidence | Tredence says it implemented an Azure Databricks Lakehouse enterprise data platform for an anonymous global food company. The published scope includes structured and unstructured ingestion, automated ETL testing and data-quality controls, encryption across Bronze, Silver, and Gold layers, and a unified data model. | Read the provider source: Data Modernization for Wholesale Food Giant | Review profile |
- 3
- providers with project evidence
- A–Z
- organic order; no quality rank
What a lakehouse partner should prove
- A production architecture using Delta Lake, Apache Iceberg, or another named table format
- Catalog, lineage, access-control, and data-quality ownership
- A migration and rollback plan for existing warehouse or lake workloads
- Workload evidence for the analytics, streaming, or ML use case you need
Start with the architecture
Our guide explains the lakehouse model, where it differs from a warehouse or data lake, and which operating decisions matter before selecting a firm.
Read the lakehouse architecture guide