The 10 best data platform consultancies in the Netherlands
Ten consultancies that build data platforms and lakehouses in the Netherlands, compared on four characteristics you can check for each one. We also show which platforms each consultancy has a dedicated service for.
Compiled by Data Science Lab, which ranks itself first. The rest are ranked by the number of dedicated services they offer across four platforms. Information checked on 28 October 2026.
Data Science Lab has operated from Amsterdam since 2016, building and managing data and AI platforms on Databricks and Microsoft Fabric. Its website features data platforms for clients including Fokker Services Group, Koninklijk Concertgebouworkest, Agro Care and Vivara.
Client case study · Fokker Services Group
One secure data platform for Fokker Services Group
For Fokker Services Group, DSL brings data from more than ten sources together in one data platform on Databricks.
“The data platform is the central place where our data comes together. It lets us provide data across the business for business insights while ensuring that there is only one version of the truth”
Daan Mastenbroek, Lead Data Engineer and Architect, Fokker Services Group
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 delivers ready-made data platforms on Databricks, Microsoft Fabric, Google Cloud and AWS, and also builds on Snowflake.
Data Analytics B.V., based in Capelle aan den IJssel, designs, builds and manages data platforms on Microsoft Fabric, Azure and Snowflake, among others, including as a service. Its website features case studies for clients including Fishtales, Deloitte, Nike and Prime Oil.
Based in Utrecht, ilionx works across cloud, data & AI and managed services, among other areas. It builds and manages data platforms, supports migrations to Databricks and Snowflake, and monitors platforms 24/7 through managed analytics. One client case study covers Intergamma’s Snowflake data platform.
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Based in Rotterdam, Crystalloids builds data and AI solutions on Google Cloud: enterprise data platforms, customer data platforms, migrations to Google Cloud and cloud managed services. Client stories on its website include ACSI, ANWB, AVROTROS and FD Media.
6
Digital Power
Location
Amsterdam and 's-Hertogenbosch
Ways of working
Projects, interim assignments, management, training and workshops
Digital Power works on data and AI from Amsterdam and Den Bosch. It designs and implements platforms on Databricks, training your team during the project to continue building on them independently. For Kadaster, it helped migrate to a Databricks lakehouse in Azure.
Info Support has been a family business since 1986, with its headquarters in Veenendaal. It combines architecture, software development, management and training, and builds data platforms on Azure, AWS and GCP. It rolled out a managed data platform for health insurer ONVZ.
Infotopics, with offices in Oldenzaal and Houten, describes itself as a full-service data business partner. It builds data platforms using Snowflake and Matillion, among other tools, supplies Tableau and Alteryx, and offers managed services and training. Its website says it has a team of more than 50 people.
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Levi9 was founded in Amsterdam in 2005 and has delivery centres in countries including Serbia, Romania and Ukraine. It builds digital platforms and software, as well as end-to-end data platforms, including on AWS. One case study covers Talpa Network’s Smart Data Platform.
Valcon is a transformation consultancy operating across Europe, with a Dutch office in Utrecht. It delivers Databricks solutions for data, from lakehouse migrations to Unity Catalog, and takes over the management of data and application services. One case study covers an Azure Databricks platform for a construction company.
Which platform do you want to build on?
Choose your platform and see which consultancies have a dedicated service page for it, with a link to each page.
The same fields for every consultancy. Choose a platform to see which consultancies have their own service for it, or select consultancies to compare only those side by side.
A platform on Databricks: own serviceA platform on Microsoft Fabric: own serviceA platform on Snowflake: no own serviceA platform on Google Cloud or AWS: no own serviceDatabricks · Fabric
Data platforms on Databricks and Fabric
you are weighing up Databricks and Microsoft Fabric and want one partner to build and manage the platform.
One central data platform for Fokker Services Group
Projects, secondments, interim assignments, management, training and workshops
A platform on Databricks: own serviceA platform on Microsoft Fabric: own serviceA platform on Snowflake: own serviceA platform on Google Cloud or AWS: own serviceDatabricks · Fabric · Snowflake · Google/AWS
Ready-made cloud data platforms
your platform needs to run on Snowflake, Google Cloud or AWS, or you want a ready-made foundation platform.
BigQuery on Google Cloud for faster reporting at Amstelring
A platform on Databricks: no own serviceA platform on Microsoft Fabric: own serviceA platform on Snowflake: own serviceA platform on Google Cloud or AWS: no own serviceFabric · Snowflake
Data platforms as a service and ongoing management
you want to build on Snowflake or procure the entire platform as a service (data platform as a service).
Integrated data solution with real-time insights for Fishtales
A platform on Databricks: own serviceA platform on Microsoft Fabric: no own serviceA platform on Snowflake: own serviceA platform on Google Cloud or AWS: no own serviceDatabricks · Snowflake
Data platforms with Databricks and Snowflake
you have already chosen Snowflake and want a controlled migration from your old environment.
Snowflake data platform for Intergamma (GAMMA and KARWEI)
A platform on Databricks: no own serviceA platform on Microsoft Fabric: no own serviceA platform on Snowflake: no own serviceA platform on Google Cloud or AWS: own serviceGoogle/AWS
Data platforms on Google Cloud
your data platform needs to run on Google Cloud and BigQuery, or you first want to migrate to Google Cloud.
Data warehouse and real-time personalisation for camping specialist ACSI
A platform on Databricks: own serviceA platform on Microsoft Fabric: no own serviceA platform on Snowflake: no own serviceA platform on Google Cloud or AWS: no own serviceDatabricks
Databricks implementation and enablement
you choose Databricks and want your own team to learn during the project how to keep building on the platform.
Migration to a Databricks lakehouse for Kadaster
Projects, interim assignments, management, training and workshops
A platform on Databricks: own serviceA platform on Microsoft Fabric: no own serviceA platform on Snowflake: no own serviceA platform on Google Cloud or AWS: no own serviceDatabricks
Business-critical IT and data platforms
you want your data platform on AWS or Google Cloud, or you also want the same partner to build your business-critical software.
A platform on Databricks: no own serviceA platform on Microsoft Fabric: no own serviceA platform on Snowflake: own serviceA platform on Google Cloud or AWS: no own serviceSnowflake
Snowflake, Matillion and Tableau
you use Tableau or Alteryx and want a Snowflake data platform underneath, including training for your team.
Central data platform for logistics provider Ploeger
A platform on Databricks: no own serviceA platform on Microsoft Fabric: no own serviceA platform on Snowflake: no own serviceA platform on Google Cloud or AWS: own serviceGoogle/AWS
Data platforms and software on AWS
your data platform runs on AWS, with Redshift or Glue, and you also need software built.
Smart Data Platform with daily ETL for Talpa Network
A platform on Databricks: own serviceA platform on Microsoft Fabric: no own serviceA platform on Snowflake: no own serviceA platform on Google Cloud or AWS: no own serviceDatabricks
Databricks and data transformation
you have a large Databricks programme, such as a lakehouse migration, and also want support with organisational change.
Azure Databricks platform for a European construction company
Projects and management
Utrecht
Select consultancies to compare only those and share the link.
If you compile a list of consultancies that includes your own, you need to show how you did it.
Compiled by
Data Science Lab. We put ourselves in first place; that is the only position that does not follow from the rules below.
Reference date
28 October 2026. All information comes from the consultancies’ websites as they appeared on that date.
Candidates
The 96 Dutch data and AI consultancies that Data Science Lab tracks.
Eligibility criteria
The consultancy has an address in the Netherlands, offers to build a data platform (a data lake, lakehouse or cloud data platform) on its own website, and names at least one client or project there; a logo does not count. This applied to 29 of the 96.
Ranking
After Data Science Lab come the 9 consultancies with the most separate service pages covering the four situations in the selection guide; ties are settled alphabetically. At the cut-off (1 situation), Crystalloids, Digital Power, Info Support, Infotopics, Levi9 and Valcon made the list. Consultancies with the same score are listed alphabetically; under that ordering, Data Science Lab would be in third place, behind Xebia and Data Analytics.
Selection guide
Only a separate service page counts, including for Data Science Lab; a mention, case study or tile does not. Databricks: a service to build or set up a platform on Databricks, or migrate to it. Fabric: the same for Microsoft Fabric. Snowflake: the same for Snowflake. Google/AWS: a data platform on Google Cloud (BigQuery) or AWS; cloud services in general do not count.
Situations
We started with Databricks, Microsoft Fabric, Snowflake and Google Cloud or AWS. None was dropped: each situation applies to 3 to 6 of the 10 consultancies on the list, so each helps you choose. The alternatives, a data platform as a service (7 of the 29) and a platform review (0 of the 29), were not needed. Whether Data Science Lab had a page for a situation played no part in that decision.
Considered
We checked large consulting and IT firms; where we could not verify an address or a named client on their websites, they were not included. Consultancies that only integrate data, provide staff or offer advice, and software vendors, do not belong on this list. If you only need a data warehouse built, you can find those consultancies among the data warehouse consultancies.
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Frequently asked questions
A data platform consultancy brings data from all your systems together on a single cloud platform, often a lakehouse on Databricks, Microsoft Fabric, Snowflake, Google Cloud or AWS. It helps you choose the technology, sets up the platform and agrees who will manage it afterwards.
Because we made this list, and we’d rather say so ourselves. The other nine are ranked by the number of services they offer for the four platforms; see the methodology. Don’t choose based on ranking alone. Choose based on your platform: for each consultancy, we explain when it might be a better fit than us.
Start with your platform: will you choose Databricks, are you working with Microsoft and Fabric, will it be Snowflake, or does your organisation run on Google Cloud or AWS? The selection guide shows which consultancies offer a service for each platform. Each consultancy’s proven work links to a real case study.
A data warehouse stores structured data for reporting. A data platform is broader: it also stores and processes raw data and supports AI applications, often as a lakehouse. If you only need a data warehouse, take a look at the data warehouse consultancies.
Yes. Several consultancies on this list offer the platform as a service, including management and monitoring. Data Science Lab does too; see Managed Data & AI Platform.
We build data and AI platforms on Databricks and Microsoft Fabric, deliver an initial use case at the same time, and set up monitoring and management. Read more about Data Science Lab’s data & AI platform.
