Axadata Selected as Official Databricks Partner
We are proud to announce that Axadata has been selected as an official Databricks partner, bringing certified lakehouse, AI, and data engineering expertise to enterprises across Saudi Arabia and the MENA region.
Official Databricks Partner
This partnership validates our engineering depth and positions Axadata as a go-to Databricks implementation partner for enterprises in Saudi Arabia and across the MENA region. It reflects years of hands-on delivery in Spark-native environments, data lakehouse architecture, and AI/ML workloads at enterprise scale.
Databricks is the world's leading data and AI platform, trusted by thousands of enterprises globally for data engineering, machine learning, and business intelligence at scale. Being selected as a partner is not a formality. It is a validation of engineering capability, delivery track record, and the ability to unlock real value for clients on the platform.
For our clients, this means direct access to Databricks' ecosystem, including early access to platform features, joint solution development, and the assurance that comes from working with a certified implementation partner who has earned that status through demonstrated expertise.
Across Saudi Arabia and the MENA region, we are seeing a sharp acceleration in enterprise investment in data platforms and AI infrastructure. Organisations are moving away from legacy data warehouses and fragmented analytics stacks toward unified, cloud-native architectures. Databricks sits at the centre of that transformation.
What This Means for Our Customers
As a Databricks partner, Axadata can now deliver the full range of Databricks-powered solutions, from initial architecture through to production operations.
Data Lakehouse Implementation
We design and deploy production-grade Delta Lake architectures on Databricks, replacing fragile data warehouse + data lake duplexes with a single, unified, ACID-compliant platform.
ETL & Pipeline Engineering
From raw ingestion to business-ready data products, we build Spark-native pipelines using Databricks workflows and Delta Live Tables, reliable, monitored, and built to scale.
ML & AI Feature Engineering
Databricks is the engine behind serious ML workloads. We build feature engineering pipelines, experiment tracking environments, and model serving infrastructure using Databricks and MLflow.
Migration from Legacy Warehouses
Moving from on-premise SQL Server, Oracle, or Teradata? We migrate enterprise workloads to Databricks with minimal disruption and maximum performance gain.
Real-Time Streaming
We implement Structured Streaming on Databricks for real-time data ingestion, enrichment, and serving, connected to Azure Event Hubs, Kafka, and IoT sources.
Unity Catalog & Governance
We implement Databricks Unity Catalog to give your organisation centralised access control, data lineage, and compliance-ready governance across all your data assets.
Ready to build on Databricks?
Whether you are evaluating Databricks for the first time, migrating from a legacy warehouse, or looking to unlock ML and AI capabilities on your existing data, our certified team is ready to help.