Petabyte-scale, multi-cloud lakehouse architectures on Snowflake, Databricks & Iceberg
Traditional on-premise data warehouses are plagued by rigid hardware limitations, expensive licensing renewals, and severe query contention between reporting and ETL jobs. 4L DATA INTELLIGENCE migrates legacy architectures to elastic, modern cloud lakehouses that physically separate compute from cloud object storage.
Whether deploying Snowflake with multi-cluster virtual warehouses or architecting open-table-format lakehouses using Apache Iceberg on AWS S3 and Google Cloud Storage, we design platforms that scale elastically to thousands of concurrent users while keeping compute costs strictly controlled.
Zero-Copy Data Sharing
Instantly share live, governed datasets with external partners and internal subsidiaries without duplicating storage or creating brittle SFTP scripts.
Open Table Formats
Implement Apache Iceberg and Delta Lake to prevent vendor lock-in and enable simultaneous querying across Spark, Trino, and DuckDB.
Automated FinOps Controls
Configured auto-suspend timers, warehouse rightsizing, and statement timeouts that prevent runaway compute bills.
Core Technology Stack & Ecosystem
We leverage modern, battle-tested open-source and cloud-native frameworks engineered for extreme throughput, zero lock-in, and sub-second performance.
Ready to implement modern cloud lakehouse platforms?
Meet directly with our principal architects to scope your implementation roadmap.