Datafy is a proud initiative of Data Minded.

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Deliver data products as code

Datafy is a cloud-native data engineering platform for building data products  securely and at scale, without the overhead of worrying about infrastructure.

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Full devops lifecycle

Datafy covers all aspects of coding, building, testing, deploying, operating and monitoring data products. 

Any workload at any scale

Offer a consistent experience, whether you are building BI use cases, doing big data heavy lifting or operationalising ML and AI models

Self-service ❤️ governance

Enable individual data teams throughout the organisation with self-service tools while retaining central governance and control

Datafy takes care of the data infrastructure, making sure the data is in the right place and the lights stay on.

"When people need insights they can focus on the data product, without having to worry about any of the underlying data infrastructure.” Link to AWS customer success story

Stijn Christiaens
Co-Founder and CTO, Collibra

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At DPG Media, we are building out our Data Mesh vision

"We believe that the technical barrier to build data products should be as low as possible. We also think that software engineering best practices should be brought to data engineering. Datafy fits perfectly in this landscape because it enables our teams to build data products on the data lake using Spark and Python, and on Snowflake, using DBT"

Wannes Rosiers
Area Manager Data at DPG Media

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CLI and Web UI

Easily create, build and deploy new data projects through the Datafy CLI. Track the status of projects, logs and resource consumption on the Web UI

Orchestration

In Datafy, you can create multiple environments. Each environment has its own managed Airflow instance to run your data pipelines. You can also trigger Datafy jobs through an external scheduler.

Security

Define fine-grained permissions for access to data and other cloud services. Enforce these permissions on individual contributors, teams, and projects.

CLI

Developer

€300/month

Get Developer

250/month

See What's Included

5

2

Unlimited

1,500

€20

80

Best Effort

2

Get Developer

Community

Web UI

Templates

S3 Connection

Contributors

Environments included (Airflow)

Projects (Python, Spark, DBT)

Credits included per month*

100 extra credits

1 extra Environment

Uptime SLA

Can run in own cloud?

SSO

RBAC / Policy Enforcement

Job runs in parallel

Monthly

Yearly

Team

€1000/month

Get Team

€840/month

See What's Included

10

5

Unlimited

2,500

€40

€80

99%

16

Get Team

Community

Enterprise

Contact Us

Get Enterprise

See What's Included

Unlimited

Unlimited

Unlimited

Unlimited

N/A

N/A

99.9%

Configurable

Get Enterprise

Premium

Support

Multiple clusters

*1 Credit = 4 CPU and 16GB of RAM for 1 hour (excluding memory overhead)

Run any workload that can be wrapped in a docker container at any scale. This standardises the work across data engineers, data scientists and data analysts. 

Working with DataFy helps in managing the full ecosystem, it accelerates the scaling and it supports collaboration

"Introducing new technologies and cloud adoption in data & analytics is a challenge, but getting IT and business on the same page can be an even bigger challenge. Working with DataFy helps in managing the full ecosystem, it accelerates the scaling and it supports collaboration allowing data engineers and data scientists to focus on creating value with new data products, without having to worry too much about some of the underlying complexities of running a scalable data infrastructure in the cloud."

Cristiana Pompei
IT Deputy Director Application Delivery at Luminus

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Data science use cases

Batch data processing

Real-time streaming

Data warehousing

Monitoring

Cost Control

Scheduling

RBAC

Data security

Project overview

Templates

Deployments

Developer is ideally suited for small teams who want to get started building data products. With Developer, we basically run your data workloads for free. You pay about the same price per credit as a plain vanilla m5.xlarge instance at AWS. 

Team is perfect for scaling organisations who want to build several data products, and need the flexibility to run many workloads in parallel, have many contributors and need to offer a reliable SLA to business.

Our enterprise offering serves the needs of our most demanding clients, running data workloads in your own cloud environments, over multiple clusters, with hardened security features, a strong SLA and the direct support of the Datafy team .

How to choose? 🤔

Get started

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Centrally take care of all cross-cutting concerns that are important in an enterprise environment so that governance is built-in and teams are accelerated.

Get all the benefits of the rich Kubernetes eco-system, and make your data products independent of your cloud provider. 

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