Databricks Services

Databricks Services

Reform your data infrastructure with lakehouse technology.

Databricks Services

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Among the highest-risk customer segment, the machine learning model ultimately reduced churn by 50% compared to the control group.

Tomáš Paulík

Head of CRM

E.ON

Adastra's Agentic AI platform gives us security, scale, and speed to adopt AI with bank-grade controls. Our teams can now innovate with AI agents without shadow IT, security or compliance risks, or unpredictable costs. What made the difference was Adastra's team: their technical expertise and ability to align all stakeholders were critical to making this a success.

Dejan Pust

CIO

NLB

Working with Adastra was a pleasure. Their approach and experience enabled us to successfully adopt the platform and prepare it for our data product strategy as a modern bank.

Lukáš Mazánek

Chief Data Officer

Raiffeisenbank

Our cloud-native data platform gives UNIQA a single source of truth across Czechia and Slovakia, speeds up business insight, and provides a stable foundation for cross-domain use cases.

Jiří Kuchařík

Head of Data & Analytics

UNIQA

Adastra Achieves Gold Partner Status with Databricks 2026

This recognition marks a key milestone in our ongoing collaboration, reinforcing our shared dedication to driving innovation and excellence in data analytics and lakehouse technology.

Adastra Achieves Gold Partner Status with Databricks 2026

Why Adastra?

8

Databricks Champions

109+

Databricks Technical Certified Consultants

100+

Databricks Customer Trained Consultants

121+

Databricks Sales Trained Consultants

374+

Databricks Sales Badges

800+

Data Engineers

125+

Data Scientists

50+

GenAI Engineers

Brickbuilder Specialization for Financial Services
Brickbuilder Specialization for Manufacturing, Transportation and Energy
Brickbuilder Specialization for Security and Governance

Unify, Innovate, and Save with a Modern Data Platform

Unlock the potential of a unified platform that combines data warehouse and data lake capabilities. Cut expenses, accelerate innovation, and streamline your data infrastructure with Databricks Lakehouse. Transition from your enterprise data warehouse or legacy data lake to a modern, unified platform that supports all your data, analytics, and AI workloads.

Adastra’s Key Databricks Offers

Data and AI Strategy Assessment

Get started with an Adastra Data & AI Day. Participants will walk away with suggested priority AI use cases, functional data & AI governance, a data product marketplace and a roadmap for implementation. 

Unity Catalog Marketplace

Access your data now with a custom digital storefront, including subscription automation and management, ecommerce integration and data quality assurance. 

Databricks Launch 

Launch Databricks 3x faster with Adastra and set up licensing, security and governance. 

Databricks Ingestion Framework 

Onboard data to Databricks 5x faster with our Ingestion Framework.  

Lucid Data Hub Accelerator 

Accelerate analytics x10. Our AI-powered accelerator automates the entire lakehouse build and analytics setup in Databricks. 

OptiSuite 

Make data-driven decisions 3x faster. Optimize and scale your business with a single, MosaicAI-powered platform. 

AskYourData 

Search for information 5x faster with our internal MosaicAI-powered virtual assistant.  

LLM Gateway 

Monitor large language model usage and control costs with Databricks and MosaicAI. 

We Support Your Databricks Journey

Enterprise Architecture Expertise

Partner with seasoned Databricks architects who have deep experience designing and building data warehouses, data lakes, and lakehouse platforms within complex, hybrid, and multi-tenant environments.

End-to-End Project Delivery

Work with us to deliver your projects from start to finish — from migrations and enterprise architecture design to data governance, advanced analytics, and data science (AI/ML).

FinOps Best Practices

Tap into our expertise in applying FinOps principles to lakehouse architectures to drive cost efficiency and enable automated reporting.

Transform your unstructured data into valuable business insights

Let Adastra streamline your Databricks implementation so you can drive immediate insights from your organization’s data.

SUCCESS STORY

120% Faster Analytics with DWH Modernization on AWS

Reveel, a professional shipping and logistics intelligence platform, collects billions of rows of shipping data. The company wanted a better way to organize and integrate this information so teams could analyze it faster.

Adastra helped Reveel standardize and process its data using Databricks.

25x

workload capacity

120%

faster analytics processing

1

of truth for business insights

8x Faster Reporting with a DWH Solution in Azure Cloud
Success Story

8x Faster Reporting with a Databricks DWH Solution in Azure Cloud

A leading consumer company in the energy and utilities sector was facing challenges collecting, curating and cleaning up data to get it ready for reporting.

Adastra built a Databricks DWH solution in Azure Cloud that now serves as a single source of truth and turns data into actionable insights.

8x

faster regulatory reporting

1

source of truth for all data

100%

cleaned and governed data

8x Faster Reporting with a DWH Solution in Azure Cloud
SUCCESS STORY

A Databricks Lakehouse Built from Scratch in Automotive

In the cloud environment of an automotive sector client, we developed a lakehouse platform over several months, encompassing all new data projects. This platform was seamlessly integrated into the existing enterprise architecture, which includes a mix of on-premises and cloud solutions, such as the Hadoop platform. Leveraging the multi-cloud capabilities of Databricks Lakehouse, we efficiently connected all data systems. 

Project outcomes:

  • Unified multi-cloud enterprise architecture platforms 
  • Simplified data migration 
  • Ready-to-use environment and data for any business use case 

This approach streamlines data handling and provides a versatile environment adaptable for various business applications. 

Success Stories

Maximizing Databricks’ Potential

Experience the full power of Databricks with our services, including rapid deployments, real-time data processing, robust security, and expert data management. Transform Databricks into a premium data science platform, capable of handling diverse workloads. Explore Databricks’ AI capabilities to drive your business to success.

Rapid Deployments

We deploy or scale Databricks across your organization quickly by leveraging PaaS, Kafka and Spark services in the cloud.

Real-Time Data Processing 

We enable real-time event streaming to the cloud for a range of use cases, including databases, APIs and IoT.

Strong Data Security 

We apply security and governance best practices to ensure your sensitive business data is always clean, protected and compliant. 

Data Management Expertise 

Our years of experience with data management, AI and machine learning mean we can train your models to work optimally. 

Data Science Workload

Our world class advanced analytics team uses Databricks as a premium data science workbench. We suit many computationally-intensive workloads. From real-time geoboundary calculation to genomic sequencing, we’ve got you covered.

GenAI at scale

Databricks works well with OpenAI but also has plenty of its own capabilities with MosaicML. This plays well into Databricks’ continued championing of open-source technology.

Ensuring Seamless Migration to Databricks

We have helped many clients migrate from legacy data platforms, providing cost predictability and support for existing and new use cases and quickly increasing ROI while lowering risk.

1

Evangelization + Workshops

The first step is evangelizing customers with a lakehouse architecture. We then hold educational workshops focused on Databricks Lakehouse platform benefits and use-cases as well as customized workshops focused on your organization’s specific use cases.

2

Tailor-Made Architecture Design

Design a custom architecture design, based on your organization’s goals and using standardized and approved tools. We focus on usability, scalability and strong governance practices.

3

Lakehouse Platform Development vs. Use-Case Development

Develop your platform, following the proposed architecture design and implement your specific use cases, all while following best practices.

4

Daily Utilization, Real Business Usage, Reduced Cost

Set up your daily workloads on your Databricks platform, utilizing its advantages —including reduced costs and a user-friendly interface.

5

Customer Education

No one wants their Databricks cluster to be like a mule with a spinning wheel. We help educate your organization on how to best use your new Databricks platform.

6

Unity Catalog

Unity Catalog provides a centralized data governance portal for the entire lakehouse. Govern not just structured and unstructured data, but also notebooks, models, files and dashboards.

Comparison of LLAMA v1 and DBRX on the Databricks Platform

At Adastra, we conducted a comparison of two leading models: LLAMA v1 (Spark-NLP-based) and DBRX (Python-based) on the Databricks platform. The goal was to assess their performance across various language processing tasks. DBRX proved to be the superior model in several key areas:

Significantly higher translation quality

Very fast processing with minimal delay

DBRX summaries are practically usable

Frequency analysis handled typos better

Elevate Your Enterprise Infrastructure with Lakehouse Innovation

Modernize With Lakehouse

Benefit from a unified platform that merges both data warehouse and data lake capabilities. Work on top of any cloud, such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud, or even a combination of these —a true multi-cloud environment.

Improve Performance

Experience a significant uplift in performance by leveraging Databricks, designed to optimize costs while delivering faster, more efficient results. Databricks enables you to scale effortlessly and handle real-time streaming data with unparalleled efficiency.

Leverage a modern AI Platform

The Databricks Data Intelligence Platform leverages an AI and ML development solution that’s built upon a unified approach to governance and security.

Enhance Data Governance

Govern your data, machine learning models, notebooks, dashboards and files seamlessly with Unity Catalog, the Databricks unified data governance platform.

Get More Value from Databricks, Faster

Talk to our Databricks Gold Partner team about your platform, workloads and use cases, and agree on the next step that pays back first.

Databricks Services FAQ

What is the difference between Databricks and Apache Spark?

Apache Spark is an open-source distributed computing system. Databricks is a cloud-based unified analytics platform built on top of Spark, providing a managed, collaborative environment for data engineering, data science and machine learning. Databricks simplifies the deployment and management of Spark clusters, so teams spend less time on infrastructure and more on data.

Yes. Databricks connects to databases, data lakes and streaming platforms and integrates with popular tools, so you can ingest data from your existing sources. Adastra’s Databricks Ingestion Framework onboards data 5x faster, and the multi-cloud capabilities of the Databricks Lakehouse let you connect on-premises and cloud systems, including Hadoop platforms.

The Databricks Lakehouse is a unified platform that combines data warehouse and data lake capabilities. It supports all your data, analytics and AI workloads in one place, which cuts expenses, speeds up innovation and simplifies your data infrastructure. Adastra helps you move from an enterprise data warehouse or legacy data lake to the lakehouse.

Adastra offers a Data and AI Strategy Assessment through a Data & AI Day, Databricks Launch to go live 3x faster with licensing, security and governance, an Ingestion Framework that onboards data 5x faster and the Lucid Data Hub accelerator for 10x faster analytics. We also offer Unity Catalog Marketplace, OptiSuite, AskYourData and an LLM Gateway.

Reveel gained 25x workload capacity and 120% faster analytics processing after Adastra standardized its shipping data on Databricks. An energy and utilities company achieved 8x faster regulatory reporting and 100% cleaned and governed data with a Databricks warehouse in Azure, and an automotive client got a lakehouse built from scratch in several months.

Adastra achieved Gold Partner status with Databricks in 2026. Our team includes 8 Databricks Champions, 109+ technical certified consultants, 800+ data engineers, 125+ data scientists and 50+ GenAI engineers. We deliver projects end to end, from migrations and enterprise architecture to data governance, advanced analytics and AI, including FinOps practices for cost control.

Adastra applies FinOps principles to lakehouse architectures to drive cost efficiency and enable automated reporting on usage. Our LLM Gateway monitors large language model usage and controls costs on Databricks, and a unified lakehouse removes the expense of running separate warehouse and data lake platforms. You see where spend goes and can optimize it.