What is Databricks?
An open, multi-cloud Data Intelligence Platform built on the lakehouse architecture — combining the scale of data lakes with the reliability of warehouses, plus native tooling for data engineering, BI, and AI/ML.
Databricks Implementation Partner
Databricks Partnership for the Data Intelligence Platform
We help enterprises unify data engineering, analytics, and AI on one lakehouse — turning raw data into governed, production-grade intelligence with Databricks' open, multi-cloud platform.
Finance · Manufacturing · RetailIndustries served
Lakehouse · ML · Data engineeringProject types
CDP · CRM · ERP · BI toolsKey sources integrated
AI-led discovery & deliveryOur delivery modelPartnership Overview
Why Solutionara + Databricks
Databricks unifies data engineering, analytics, and AI on a single open lakehouse. As an implementation partner, we bring deep platform and data-engineering expertise to every engagement — robust pipelines, governed data, and production-ready machine learning that scales.
Why we partner with Databricks
Built on open standards like Apache Spark, Delta Lake, and MLflow, Databricks is the right fit for enterprises that need one platform for large-scale data processing, advanced analytics, and AI — without locking data into proprietary formats.
How clients benefit
Reliable pipelines, faster path from data to production AI, and a unified, governed layer spanning CDP, CRM, ERP, and operational data — delivered by Databricks-certified engineers who know the platform end to end.
Lakehouse services
What We Deliver
End-to-end Databricks delivery — from data and AI strategy through to lakehouse build, pipeline engineering, ML deployment, and ongoing managed optimisation.
Data & AI strategy
Current-state assessment, lakehouse architecture design, and a prioritised roadmap aligned to your analytics and AI ambitions.
Learn More
Lakehouse implementation
Delta Lake setup, medallion architecture, and Unity Catalog governance to build a reliable, governed single source of truth.
Learn More
Data engineering & pipelines
Spark-based ETL/ELT, Delta Live Tables, and streaming pipelines that turn raw sources into curated, query-ready data.
Learn More
Machine learning & AI
Feature engineering, model training and tracking with MLflow, and production deployment — including GenAI on Mosaic AI.
Learn More
Governance & security
Unity Catalog access controls, lineage, and data quality so sensitive data stays protected and compliant across workspaces.
Learn More
Managed optimisation
Cluster sizing, cost monitoring, job tuning, and ongoing support to keep workloads fast and spend predictable as you scale.
Learn MoreUse Cases
Common Lakehouse Scenarios
We've built Databricks solutions across the data sources and workloads that drive modern enterprises.
Lakehouse foundationDelta Lake · medallion
Customer 360 / CDP feedUnified profiles · segmentation
ERP & finance analyticsJDE · NetSuite · SAP
ML & predictive modelsMLflow · feature store
GenAI & LLM appsMosaic AI · RAG
Demand & inventory analyticsForecasting · planning
Streaming dataReal-time · Delta Live Tables
BI & dashboardsDatabricks SQL · Power BIGet In Touch
Engage our Databricks practice
Share your objectives and we'll align you with the right senior consultant to scope an architecture advisory, solution assessment, or platform strategy workshop.
- Architecture Advisory & Solution Assessment
- Databricks-certified solution architects
- Executive Consultation & Platform Strategy Workshop
- Led by Senior Certified Practitioners