What Datapao does

Datapao is a Budapest-headquartered enterprise data and AI consultancy founded in 2016 that specialises in the Databricks Data Intelligence Platform. The company delivers end-to-end data transformation services for large organisations — covering data strategy advisory, cloud migration to the Databricks Lakehouse, lakehouse buildout, AI/ML model deployment, MLOps, geospatial analytics, digital twins, and predictive maintenance — and operates an Education Division providing Data Engineering, Databricks Spark, Azure, geospatial, and EU AI Act Governance training to enterprises and individuals. Its proprietary assets include One-Stop Cloud Data Migration, an official Brickbuilder Solution in the Databricks Partner Solutions catalogue, and a Supply Chain Visualization and Simulation Platform combining Delta Lake and Lakebase for real-time disruption rerouting within 200 milliseconds.

Revenue is generated through professional services on two tracks: (1) senior architect-led, project-based consulting engagements to enterprise customers in energy, pharmaceuticals, financial services, manufacturing, and digital-native verticals, and (2) structured training and enablement programmes delivered as private, instructor-led, and train-the-trainer courses. Datapao holds Databricks Gold Partner status (the highest tier of the partner programme since 2026) and is a validated launch partner for Databricks Lakebase. The firm is backed by Databricks Ventures and Euroventures, holds ISO 27001 and GDPR compliance, and has been named to the Financial Times FT1000 list for three consecutive years. It operates delivery hubs in Budapest (legal HQ: DATAPAO Korlátolt Felelősségű Társaság, registered at Nagymező u. 44., 1065 Budapest) and London, with active hiring into Spain.

The customer base includes Norsk Hydro (Hydro), MOL Group, Glencore, OTP Bank, Schufa, Gedeon Richter, EGIS Pharmaceuticals, GetYourGuide, General Electric, TechnoAlpin, Logically, and Databricks itself. CEO Máté Gulyás leads the firm, supported by a Partnership Manager (József Tókos), an Engineering Manager, technical instructors, and senior data engineers across the UK and Central Europe.

Name

Datapao

Legal name

DATAPAO Korlátolt Felelősségű Társaság

Website

https://datapao.com

Company type

Private

Founded year

2016

Operating status

Operating

Headcount range

11–50 employees

Short description

Budapest-headquartered enterprise data and AI consultancy delivering Databricks-focused consulting, cloud migration, AI/ML implementation, MLOps, and training to large organisations across the UK and European market. Backed by Databricks Ventures and Euroventures with Gold Partner status.

Ownership category

akta.pro rank

Product category

Data Engineering & AI Consulting Services

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Processing & Data Preparation (7374)

akta.pro primary industry

Data Strategy & Governance Services (BPAEAHAA)

akta.pro secondary industry

Data Platform (Unified Data & Analytics) Suites (HDAEABAD)

Keywords

• Data engineering consulting
• Cloud data migration
• Databricks implementation
• Machine learning operations
• Data platform training

Headquarters

HQ city

Budapest

HQ country

Hungary

HQ region

Europe

Offices3 records

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Operations, Marketing or Sales, Technology or R&D, Others

Revenue model

1. Data Engineering & Data Science Consulting: Project-based consulting engagements covering the full data journey: strategy, architecture design, implementation, and operational support. Services include data platform migration, lakehouse buildout, AI/ML model deployment, and MLOps. Engagements are scoped to client needs and delivered by senior architects and data engineers.
2. Training & Enablement: Structured Databricks education and training programmes delivered as private training, live instructor-led courses, and train-the-trainer projects. Covers Data Engineering, Geospatial Analytics, Azure Data Platform, Databricks Spark certification, EU AI Act governance, and executive data literacy. Part of every client engagement to build sustainable internal capability.

Go-to-market motion2 records

Distribution channels3 records

Marketing channels5 records

Core offering

Datapao is a data engineering and data science consulting company that delivers end-to-end data transformation services anchored on the Databricks Data Intelligence Platform. The company provides strategy, architecture design, cloud data migration, Lakehouse buildout, AI/ML model deployment, MLOps, and geospatial analytics consulting, alongside structured training and enablement programmes covering Data Engineering, Spark, Azure, and EU AI Act governance.

Product overview

DATAPAO is a data engineering and AI consulting company offering a comprehensive portfolio of services organized around consulting delivery, training, and enablement. The company operates as a Databricks-focused consultancy with delivery capabilities across the full data platform lifecycle: from initial strategy and architecture design through to production deployment, ongoing operations support, and internal capability building. Core service offerings include Cloud Data Migration to Databricks (offered as an official Brickbuilder Solution), Data Platform Implementation and Lakehouse Buildout, AI/ML Solutions and MLOps, and Industry-Specific Solutions including Supply Chain Intelligence, Predictive Maintenance, Digital Twins, and Industrial Automation. The company also maintains a significant Education Division providing instructor-led training programs covering Data Engineering, Databricks Certified Spark, Azure Data Platform, and Geospatial Analytics. Datapao has been a Databricks partner since 2016 and achieved Gold Partner status (highest tier) in 2026, having trained over 10,000 people across Europe. The company serves clients across the UK and broader European market from delivery hubs in the UK and Central Europe.

Differentiator

Problem solved

Functional benefit

Products and services

• Cloud Data Migration to Databricks End-to-end cloud data platform migration using the 5Rs strategies, leveraging Datapao's One-Stop Cloud Data Migration to Databricks Lakehouse — an official Brickbuilder Solution featured in Databricks Partner Solutions. Automates discovery and validation, applies iterative execution, and provides enablement throughout the entire migration lifecycle. Delivered for enterprise clients modernising legacy data estates.
• Data Platform Implementation Design and implementation of data processing platforms optimised for scale, including data architecture advisory, end-to-end data cloud platform migration, and data processing platform optimisation. Delivered for enterprise clients needing fast, streamlined, and robust data architecture with decluttered and structured datasets.
• AI and Machine Learning Solutions Data analysis, model training, validation, and deployment expertise for leveraging ML and AI. Includes ML productionization, MLOps implementation, and customised data science solutions for enterprise clients building AI and ML capabilities on Databricks.
• Lakehouse Buildout Design and implementation of Lakehouse architecture combining the advantages of data lakes and data warehouses. Provides guidance on data governance, ingestion, processing, and analysis using Delta Lake and Apache Iceberg formats. Delivered for organisations seeking a unified data platform.
• MLOps Implementation Implementation of MLOps best practices and development of customised MLOps solutions tailored to business needs. Ensures machine learning pipelines are efficient, accurate, and scalable. Delivered for enterprise clients adopting ML at scale.
• Data Governance Services Establishes and implements effective data governance policies and practices, including data management, security, compliance, and quality assurance. Provided for organisations requiring governed, trustworthy data for AI and analytics.
• Data Strategy Consulting Develops bespoke data strategies aligned with specific organisational goals and objectives. Provides data architecture, engineering, and science expertise; includes C-suite strategic advisory by globally recognised data architects to ensure a lasting, results-driven data strategy.
• Predictive Maintenance Implements predictive maintenance solutions using machine learning and AI to predict equipment failure before it happens. Partners with organisations across diverse sectors to provide customised solutions for industrial and manufacturing clients.
• Digital Twins Creates virtual replicas of physical objects, systems, or processes for monitoring and optimisation. Works with clients to build digital twins of industrial objects including energy facilities and production plants.
• Supply Chain Visualization and Simulation Platform Proprietary accelerator built on Databricks that provides a unified real-time view of supply chain operations. Connects shipments to production demand with disruption rerouting and simulation capabilities, completing the disruption-to-production loop in under 200 ms. Comines Databricks/Delta Lake for analytics and Lakebase for live operational state.
• Geospatial Analytics Solutions Unlocks value of geospatial data across industries through tailored analytics solutions and visualization tools. Provides geospatial analytics know-how for informed decision-making, covering fundamentals of geospatial data and analysis, sample use case implementation, and scaling techniques.
• Data Engineering Enablement Training Intensive training programme equipping aspiring data engineers with technical skills including data modeling, database design, ETL processes, and modern data engineering techniques. Available as private training or live instructor-led courses.
• Databricks Certified Spark Training Databricks and Spark training course for big data processing and analytics. Covers fundamental concepts including Spark application building, RDDs, SparkSQL, and ML libraries. Used to prepare participants for Databricks Spark certification.
• Azure Data Platform Training Comprehensive Azure Data Platform training curriculum covering Azure Data Factory, Azure Stream Analytics, Azure SQL Database, and other Azure data tools. Delivered as private and live instructor-led courses.
• Data for Non-Data Leaders Training Executive training for leaders and executives with little data background. Covers foundational knowledge and tools for thriving in a data-driven environment, boosting data literacy in the workforce.
• Data & AI Governance (EU AI Act) Training Executive training on Data and AI Governance foundations and EU AI Act compliance. Prepares CIOs, CTOs, and CLOs for AI regulation challenges and opportunities.

Quantifiable outcome

• Supply chain disruption loop — from user triggering a disruption to seeing downstream production impact — completes in under 200 milliseconds.

Named customers12 records

Segments9 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration5 records

AI capability11 records

Feature4 records

Partnerships

Two partnerships are on record, tiered core.

• Databricks (Lakebase Launch Partner)coreTechnology or Integration · 2 February 2026Datapao is a validated launch partner for Databricks Lakebase, a production-ready operational database that unifies transactional, analytical, and AI workloads on the Databricks Data Intelligence Platform. Datapao participated in product validation during development and is positioned to help customers modernise legacy databases, build real-time applications, and deploy agentic AI workflows using Lakebase.
• DatabrickscoreStrategic or Co-development PartnerDatapao has been a Databricks partner since 2016 and has achieved Gold Partner status — the highest tier in the Databricks Partner Programme. The partnership covers the full spectrum of Databricks-related services: platform strategy, implementation, buildout, migration, data engineering, data science, and dedicated training programmes. Gold Partner status includes earlier access to platform innovations, deeper alignment with Databricks technical and product teams, and participation in joint go-to-market initiatives. One-Stop Cloud Data Migration is an official Brickbuilder Solution featured in Databricks Partner Solutions.

Scale indicators5 records

Recent moves6 records

Expansion highlights7 records

Direct peers

• Quantiphi: AI and data engineering services firm with strong Databricks partnership and focus on machine learning and MLOps implementations. Comparable to Datapao as a specialised AI/data consultancy targeting enterprise clients.
• phData: US-based data platform consultancy with a deeply specialised Databricks and Snowflake practice. Closest direct comparable to Datapao in business model, single-platform specialisation, and focus on data engineering, ML, and analytics implementations for enterprise clients.
• Advancing Analytics: UK-based Databricks Elite Partner and AI consultancy delivering data engineering, ML, and Lakehouse implementations. Directly comparable to Datapao in geography, Databricks partnership tier, and target enterprise customers.
• Tensor Consulting: UK-based Databricks-focused consultancy providing data engineering and AI services. Direct comparable to Datapao in geography, partnership type, and target enterprise customers.
• Data Reply: Reply Group's data and AI consultancy arm operating across Europe with strong Databricks and cloud data platform expertise. Comparable as a European data consulting peer with similar enterprise target customers and Databricks focus.

Broad incumbents

• Capgemini Engineering: Global systems integrator with a large data and AI practice including Databricks delivery. Competes with Datapao on enterprise data platform modernisation engagements, especially in regulated industries.
• Accenture Data & AI: Global consulting and SI firm with a massive data and AI practice and partnership with Databricks. Represents the largest scale competitor for enterprise data and AI engagements where Datapao also plays.
• EPAM Systems: Global digital engineering services firm with strong data engineering, cloud, and AI capabilities. Comparable to Datapao as a delivery partner for enterprise data platform projects, though at significantly larger scale.
• Slalom: Large global consulting firm with a substantial data and AI practice and significant Databricks partnership. Competes with Datapao for enterprise data transformation engagements but offers broader, multi-platform delivery.

Regional players

• Tietoevry: Nordic-headquartered IT services and digital consultancy with data and cloud capabilities. Comparable European peer delivering data platform and analytics services to enterprise clients, particularly in Northern Europe.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/datapao
• Xx.com/datapao

Compliance2 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles7 records

Funding overview

Funding rounds1 record

Investors2 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Datapao