The 10 best Databricks partners in the Netherlands
Ten official Databricks partners with an office in the Netherlands, compared on four characteristics you can check for each partner. For each one, we show the situation it is suited to.
Compiled by Data Science Lab, itself a Databricks partner and ranked number 1. The rest are ranked by the number of services they offer for four situations. Information current as of 28 October 2026.
Data Science Lab has worked from Amsterdam since 2016 and is a Databricks partner. It sets up lakehouses with Unity Catalog and Lakeflow, puts models into production using MLOps and then manages the platform. Its website features Databricks platforms for clients including Fokker Services Group and Koninklijk Concertgebouworkest.
Client case study · Fokker Services Group
One secure data platform for Fokker Services Group
For Fokker Services Group, DSL is building a data platform on Databricks, Azure and dbt that brings together data from more than ten sources.
“The data platform is the central place where our data comes together. It enables us to provide data for business insights across the company while ensuring that there is only one version of the truth”
Daan Mastenbroek, Lead Data Engineer and Architect, Fokker Services Group
Powerdobs, based in 's-Hertogenbosch, works with Microsoft Fabric, Databricks, Snowflake and Power BI, including for SAP data. Its Databricks offerings cover implementation and migration, starting with a proof of concept, as well as a Cost Optimizer that analyses costs. Its client case studies include Vencomatic and Louwman.
Xebia started in the Netherlands in 2001 and has grown into an international consultancy, software engineering and training company, with its Dutch office in Hilversum. It modernises data platforms on Databricks and offers Lakewarden, a product for optimising lakehouse costs.
Based in Amersfoort, Biyond works with organisations in the Netherlands and Belgium on business intelligence, financial planning and data platforms. As a Databricks partner, it sets up lakehouses, including governance and implementation. It also works with Microsoft Fabric and Power BI. Its case studies include Attero and Van der Valk Systemen.
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DataSense is based in Belgium and has an office in Amsterdam. It brings clients’ data sources together in one data hub and works with Databricks, Snowflake, Microsoft Fabric and dbt. Its academy offers Databricks training at two levels. One use case covers Bleckmann.
Info Support is a family business based in Veenendaal, founded in 1986. It builds and manages software and data platforms, including the managed data platform for health insurer ONVZ. Its IT Academy offers Databricks training for data engineers, among other courses.
you work in agrifood, energy or manufacturing and want one partner for data management and MLOps.
Proven work
Databricks migration for Vanderlande
Itility is headquartered in Eindhoven and also has offices in the United States and Romania. It focuses on agrifood, energy and manufacturing, offering data management and MLOps services. Its specialists use tools including MLflow and Databricks. A client story describes Vanderlande’s Databricks migration.
Cadran Analytics, based in Hoevelaken, was founded in 2018 and focuses on data from ERP systems such as Oracle NetSuite and JD Edwards. It is an official Databricks partner and builds AI models on Databricks using MLflow. One case study describes its Power BI work for DENSO.
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Danetics is a data and AI partner based in Amsterdam. It builds data platforms on Microsoft Fabric or Databricks, depending on what suits the organisation, and says it has more than ten years’ experience with data projects. Transferz’s platform runs on Azure Databricks with Power BI.
Emixa has offices in Naarden, Den Bosch, Best and Breda, among other locations, and works across Europe. Its data and AI work focuses on manufacturing, using Databricks, Microsoft Fabric and SAP Business Data Cloud. One case study covers data-driven maintenance at GVB.
Which partner is right for your situation?
Choose where you are now and see which partners have a dedicated service page for your situation, with a link to each page.
Move to Databricks: no dedicated serviceSet up Unity Catalog and governance: dedicated serviceControl Databricks costs: no dedicated serviceTrain your team to work with Databricks: no dedicated serviceGovernance
Databricks lakehouses and MLOps
you want one partner to set up Databricks, put models into production and then manage the platform.
Databricks data platform for Fokker Services Group
Projects, staff placement, interim support, management, training and workshops
Move to Databricks: dedicated serviceSet up Unity Catalog and governance: no dedicated serviceControl Databricks costs: dedicated serviceTrain your team to work with Databricks: no dedicated serviceMigration · Costs
Microsoft data, Databricks and SAP
you want to start with a proof of concept on Azure Databricks or reduce your Databricks costs.
Vencomatic builds a single source of truth with Databricks
Move to Databricks: dedicated serviceSet up Unity Catalog and governance: no dedicated serviceControl Databricks costs: dedicated serviceTrain your team to work with Databricks: no dedicated serviceMigration · Costs
Cloud data platforms and AI
you want to reduce the costs of an existing Databricks lakehouse or modernise your old data platform.
New Databricks data platform with Unity Catalog for TBAuctions
Move to Databricks: no dedicated serviceSet up Unity Catalog and governance: dedicated serviceControl Databricks costs: no dedicated serviceTrain your team to work with Databricks: no dedicated serviceGovernance
BI, planning and data platforms
you want to combine Databricks with Power BI and financial planning and budgeting in a single project.
Data warehouse in Microsoft Fabric for Van der Valk Systemen
Move to Databricks: no dedicated serviceSet up Unity Catalog and governance: no dedicated serviceControl Databricks costs: no dedicated serviceTrain your team to work with Databricks: dedicated serviceTraining
Data platforms, data engineering and training
you want your team to take a structured Databricks training course at basic or advanced level.
Cloud data platform for logistics provider Bleckmann
Move to Databricks: no dedicated serviceSet up Unity Catalog and governance: no dedicated serviceControl Databricks costs: no dedicated serviceTrain your team to work with Databricks: dedicated serviceTraining
Software, data and IT training
you want to train your own data engineers in Databricks, with courses up to advanced level.
Move to Databricks: no dedicated serviceSet up Unity Catalog and governance: dedicated serviceControl Databricks costs: no dedicated serviceTrain your team to work with Databricks: no dedicated serviceGovernance
Data and AI for industry
you work in agrifood, energy or manufacturing and want one partner for data management and MLOps.
Move to Databricks: no dedicated serviceSet up Unity Catalog and governance: no dedicated serviceControl Databricks costs: no dedicated serviceTrain your team to work with Databricks: no dedicated service–
Analytics on ERP data
you want to use data from an ERP system such as NetSuite or JD Edwards for AI models on Databricks.
Power BI for planning and decision-making at DENSO
Move to Databricks: no dedicated serviceSet up Unity Catalog and governance: no dedicated serviceControl Databricks costs: no dedicated serviceTrain your team to work with Databricks: no dedicated service–
Data and AI platforms
you want a data platform on Microsoft Fabric or Databricks that also prepares your data for AI.
Scalable data platform on Azure Databricks for Transferz
Move to Databricks: no dedicated serviceSet up Unity Catalog and governance: no dedicated serviceControl Databricks costs: no dedicated serviceTrain your team to work with Databricks: no dedicated service–
Data and AI for manufacturing
you work in manufacturing and want one partner to combine SAP, Microsoft Fabric and Databricks.
Data-driven maintenance for transport operator GVB
Projects, management and training
Naarden
Tick consultancies to compare only those and share the link.
If you compile a list of partners that includes your own company, you should explain how you did it.
Compiled by
Data Science Lab, itself a Databricks partner. We are ranked first; that is the only position not determined by the rules below.
Reference date
28 October 2026. All information comes from the Databricks partner directory and the partners’ websites as they appeared on that date.
Candidates
51 partners in the Databricks partner directory (accessed on 28 October 2026) with an office in the Netherlands, plus firms that Data Science Lab follows and that describe themselves as Databricks partners on their own websites.
Eligibility criteria
The partner must appear in the Databricks partner directory or describe itself as a Databricks partner on its own website, have an address in the Netherlands, and name at least one client or project on its own website; a logo does not count. This applied to 36 of the 51. Data Science Lab was not in the directory on the reference date and qualified on the basis of its own partner page.
Ranking
After Data Science Lab come the 9 firms with the most dedicated service pages for the four scenarios in the selection guide. Ties are decided by the number of pages about ML and AI on Databricks, then alphabetically. At the cut-off (0 scenarios), the following were included, with their number of those pages in brackets: Cadran Analytics (1), Danetics (1) and Emixa (1). Eraneos, EyeOn, IG&H and Vega IT (1) missed out on alphabetical order; 22 other firms scored lower. Within the list, firms with the same score appear alphabetically. By that ordering, Data Science Lab would be fourth.
Selection guide
Only a dedicated service page counts, including for Data Science Lab; a mention, case study or tile does not. Migration: the title or H1 mentions data or data platform migration or modernisation, and the page mentions Databricks. Governance: the title or H1 mentions Unity Catalog, governance or data management, and the page mentions Databricks or Unity Catalog. Costs: the title or H1 mentions costs, cost or FinOps, and the page mentions Databricks. Training: a training programme or course with Databricks as its subject. Databricks must appear in the text of the page itself, not just in a partner logo or a standard block.
Scenarios
We started with migration to Databricks, Unity Catalog and governance, ML and AI on Databricks, and management. ‘Building models on Databricks’ was dropped: 10 of the 36 eligible firms have a page for it, including almost everyone in the top ten, so it does not help you choose. ‘Having your Databricks platform managed’ was dropped because too few firms qualify: 1 of the 36. ‘Managing Databricks costs’ (2 of the 36) and ‘Teaching your team to work with Databricks’ (2 of the 36) replaced them. ‘Building models on Databricks’ now decides ties. Whether Data Science Lab has a page for it played no part in that decision.
Considered
International partners without a Dutch office listed in the directory or on their website were not checked. Fifteen candidates were excluded: no address in the Netherlands, no named client, software only, or no accessible website.
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Frequently asked questions
A Databricks partner sets up Databricks and works with it for clients: building a lakehouse, managing data access and provenance in Unity Catalog, building pipelines and models, and managing the platform. Databricks lists its partners in a public partner directory.
Because we made this list, and we’d rather tell you that ourselves. The other nine are ranked by the number of services they offer for the four scenarios; see the methodology. Don’t choose based on ranking, but on your situation: for each partner, we explain when they may be a better fit than we are.
Start with your situation: do you need to move to Databricks, set up Unity Catalog and governance, bring costs under control, or train your own team to use the platform? The guide shows which partners offer a dedicated service for each need. For nearly every partner, the evidence of their work links to a case study on their own website.
A data platform consultancy builds your platform and helps you choose between Databricks, Microsoft Fabric, Snowflake or another cloud platform. A Databricks partner works with Databricks itself. If you’re still deciding on a platform, take a look at the data platform consultancies.
Unity Catalog is the layer in Databricks that tracks what data exists, who can access it and where a figure comes from. When you use Databricks more widely, you manage permissions and lineage there. Under ‘Governance’ in the guide, you can see which partners offer a dedicated service for this.
