Blog

Embedding Essentials: From Cosine Similarity to SQL with Vectors

e6data’s Hybrid Data Lakehouse: 10x Faster Queries, Near-Zero Egress, Sub-Second Latency

Building a Modern Data Pipeline in Snowflake: From Snowpipe to Managed Iceberg Tables with Sync Checks

Improved open-table analytics stack with Iceberg, Polaris, Hudi, Delta Lake

Procedural Power, Set-speed: Inside e6data’s Froid-inspired UDF Engine

Iceberg Catalogs 2025: A Deep Dive into Emerging Catalogs and Modern Metadata Management

Vector & Semantic Search in the Lakehouse: Faster Insight from Unstructured Data

Solving Geospatial Analytics Performance Bottleneck: H3 vs Quadkey

e6data’s Architectural Bets: our Head of Engineering’s conversation w/Pete at Zero Prime Podcast