Databricks

What it is

Databricks unifies data engineering, analytics and ML on Apache Spark + Delta Lake, with Unity Catalog for governance and MLflow built in.

How Vaaani uses it

• Training on petabyte-scale data without moving it
• Feature stores shared across ML and BI teams
• Delta Live Tables for streaming + batch ETL
• Mosaic AI fine-tuning for open-source LLMs on your data

Why it makes the cut

When the customer has 'big data' (real big — TB+), Databricks is the only platform that won't choke. Vaaani uses it for enterprise Graph RAG sources.

Sample code

from pyspark.sql import SparkSession

spark = SparkSession.builder.getOrCreate()
df = spark.read.format("delta").load("/data/orders")
df.groupBy("region").sum("amount").show()