Resources
Everything you need to evaluate graal
The technical documentation, the pages of both platforms, the demo scenario, the comparisons and guides to choose, buy and deploy a data & AI platform on your infrastructure.
The two platforms
Start with the product
Two open source platforms, under the Apache 2.0 license, independent and complementary: each one installs, runs and is bought on its own.
graal Data Platform
From source to model in production, on your infrastructure: pipelines, orchestration, lakehouse, notebooks, ML and generative AI, governance.
Discover the Data Platformgraal Agentic Platform
Your AI agents move your processes forward, under measured guarantees: workflows, human approval, evidence and audit.
Discover the Agentic PlatformDocumentation
The technical documentation
In French and English, from the first command to day-to-day operations.
Demo
See the Data Platform in fourteen minutes
The scenario
Seven steps, from a low-code pipeline to an AI agent scheduling a job, on éCO2mix open data.
See the scenarioA demo on your use case
The same journey, adapted to your industry and your questions. The Agentic Platform is presented on request.
Book a demoComparisons
graal against other platforms
A factual table, dated and sourced, for each platform you are evaluating.
Guides
Choose, buy, deploy
How to choose a data & AI platform
The selection criteria and the comparisons, with their sources.
Read the guideBuying graal in the French public sector
Procedure exemption, innovative procurement: the thresholds and their texts.
Read the guideDeploying graal
On-premises, in a private cloud or with a qualified hosting provider, with Helm; a local trial of the Agentic Platform under Docker.
Read the guideUpcoming guides
What we are writing next
In preparation
Moving off a Hadoop estate
What carries over as is, what gets rewritten, and in which order.
In preparation
Kubernetes for data teams
What a privilege-free installation changes, for the platform team and for data scientists alike.
In preparation
Catalog and governance
When a data team needs them, and where to start.
A question left unanswered?
Write to us: a precise answer about your context beats a generic guide.