Data Lakehouse Architecture
Delta Lake on cloud storage — ACID transactions, time travel and a unified platform for BI and ML workloads.
Data
Databricks Development
🧱 Unified data lakehouse built on Databricks
We build Databricks data platforms — Delta Lake lakehouses, Spark pipelines, MLflow model management and Unity Catalog governance for AU and IN enterprises.
Delta LakeACID transactions
Apache SparkScale
MLflowModel tracking
What We Build
What we build with Databricks
Apache Spark Pipelines
Large-scale ETL, data transformation and batch/streaming pipelines on Databricks' managed Spark clusters.
Databricks ML & MLflow
End-to-end ML on Databricks — experiment tracking, model registry, feature store and model serving with MLflow.
Streaming with Delta Live Tables
Declarative streaming pipelines with Delta Live Tables — CDC ingestion, real-time aggregations and data quality checks.
SQL Analytics & BI
Databricks SQL for BI queries and dashboards — the SQL warehouse that sits on your Delta Lake for analyst access.
Unity Catalog Governance
Centralised data governance with Unity Catalog — data lineage, access control and compliance across your Databricks workspaces.
Deliverables
Every Databricks project includes
✓Delta Lake architecture design
✓Databricks workspace and cluster configuration
✓Apache Spark pipeline development (PySpark/Scala)
✓MLflow experiment tracking and model registry
✓Delta Live Tables for streaming pipelines
✓Unity Catalog setup and data governance
✓Databricks SQL warehouse for BI access
✓CI/CD for Databricks notebooks and jobs
FAQ
Common questions
Databricks or Snowflake for our data platform?
Databricks for teams doing ML/AI on the same platform as analytics, or needing Spark's processing power. Snowflake for SQL-first teams focused on analytics, data sharing and operational data store patterns.
What clouds does Databricks run on?
AWS, Azure and GCP — we deploy on whichever matches your existing cloud footprint.
How does Delta Lake differ from a data warehouse?
Delta Lake is a lakehouse — open format files on cloud storage with ACID guarantees. More flexible than a warehouse, cheaper at scale, and ML-friendly.
Do you migrate from legacy ETL tools to Databricks?
Yes — from Informatica, SSIS, Talend and custom ETL scripts to modern Databricks pipelines. We design the migration to minimise business disruption.
Ready to build on Databricks?
The unified lakehouse for analytics and ML — we'll design and build your data platform properly.
Build With Us
Ready to start your project?
Tell us what you want to build. We reply within 4 business hours.
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