compare🟢Beginner2 min read
Databricks vs Google BigQuery: Lakehouse vs Serverless Warehouse
A pragmatic comparison: Databricks for Lakehouse/Spark/ML vs BigQuery for Serverless/SQL-native analytical workflows on GCP.
- databricks
- bigquery
- lakehouse
Topic
#lakehouse
4 posts ·view all posts
compare🟢Beginner
Iceberg🟡Intermediate7 min read
Parquet vs ORC vs Avro: Pick by Access Pattern, Not by Benchmark
What each file format is actually built for — columnar analytics, Hive-native storage, and row-oriented streaming records — plus the compression, schema evolution, and small-file realities that decide your bill.
- iceberg
- spark
- lakehouse
Apache Hudi🟢Beginner6 min read
Hudi COW vs MOR: Incremental Queries Need Compaction, Not Another Format
Copy-on-write versus merge-on-read, incremental pulls versus snapshots, compaction as a job you schedule, and why one table gets one writer and one format.
- hudi
- lakehouse
Snowflake🟡Intermediate12 min read
Snowflake-Managed Iceberg Tables: Open Storage without Losing Warehouse SQL
When to use Snowflake-managed Iceberg vs native tables: external volumes, catalogs, deletion vectors, and the interoperability jobs Iceberg actually wins.
- snowflake
- iceberg
- lakehouse