Daimlinc is now a Databricks Partner

As a Databricks partner, we can assist you with developing, deploying data and ML solutions on Databricks, or migrating to the Databricks platform.

By combining our knowledge in data architecture, managing full data lifecycle and with the unique technology of Databricks, we ensure you get the most out of your Databricks investment.

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Why Databricks ?

Databricks is a cloud-based data engineering and machine learning platform. The Databricks platform combines the best elements of data lakes and data warehouses to deliver the reliability, strong governance and performance of data warehouses with the openness, flexibility and machine learning support of data lakes.

This unified approach simplifies your modern data stack by eliminating the data silos that traditionally separate and complicate data engineering, analytics, BI, data science and machine learning. It’s built on open source and open standards to maximize flexibility. And, its common approach to data management, security and governance helps you operate more efficiently and innovate faster.

Databricks stands as Leader in the Gartner Magic Quadrant for Cloud Database Management System, Data Science and Machine Learning platforms.

Our Offerings

Databricks Platform Implementation

Our Databricks specialists will collaborate with your business, data and technology teams to discover potential use cases that solve business problems and help develop and deploy solutions using the Databricks platform.

Databricks Architecture

We utilise Databricks to create flexible data structures that encourage the use of high-quality, relevant, and accessible data. These cloud solutions help you save money and increase efficiency, and they’re designed to scale with your enterprise.

Databricks System Integration

We work with various technology partners to assist our clients integrate the Databricks platform into their own tech stacks.

AI & ML Development & Deployment

We can empower your ML and data science teams to manage the full machine learning lifecycle by leveraging the features of Databricks and building enterprise-grade production pipelines.