Cruxdata

Unify your data in a flexible data platform

Accelerate speed to product, simplify scaling, leverage AI

Unified data engineering, analytics, machine learning and AI
Broad support for structured, semi-structured and unstructured data
One security and data governance model
Massive cost saving potential from AI-driven compute and storage optimisation
Trusted by more than 10,000 companies globally, including Comcast, Condé Nast, Grammarly and over 50% of the Fortune 500

Our services

Cost visibility

Get eyes on the input to your data costs, not the output. Leverage our experience in building efficient data platforms to identify data pipelines, tables and queries running on Databricks that are outsize contributors to your spend.

Instance optimisation

Maximise infrastructure efficiency through better configuration of compute for your jobs. We'll do an analysis of your Databricks setup, identify opportunities for savings and leave you with less. Less cloud spend, fewer worries.

Cruxdata is a Databricks registered partner

We are a Databricks Consulting & SI Partner since 2023. Our experienced Databricks consultants can help you assess if and how Databricks fits into your data stack. Using experience from managing Databricks at some of the fastest growing startups globally, we ensure that your time-to-value is reduced and you're set up to scale.

Trusted by companies like you

Databricks Data Intelligence Platform enables us to organize and leverage all our data at scale, to power analytics in an effort to detect and block all forms of email attacks for our customers, including targeted socially engineered email attacks that evade traditional defenses.
With Databricks, we’re innovating faster than ever before across our data engineering and analyst functions, and paying less in database expenses every year. Our data operations costs have reduced by almost 60%
Steve Pulec CTO, YipitData

Book a consultation with us

One of our team will talk through your business, priorities and what you're looking to unlock with Databricks. We're just a call away