Ready, set,
lakehouse.
Databricks lakehouse blueprints as code. Spin up a secure, well-architected Azure Databricks platform in days, with networking, identity and Unity Catalog in place before the first notebook runs.
Insights, not infrastructure
Built on Microsoft's Cloud Adoption Framework and delivered through proven Bicep and Terraform templates, DatabricksXcelerator delivers governance, networking, security, Databricks and data pipelines, so you can focus on insights, not infrastructure.
Data's grown up. Has your stack?
Warehouses hit a wall
Relational warehouses were built for yesterday's batch loads and predictable volumes. Click-streams, IoT feeds and AI-ready datasets arrive in seconds and scale to petabytes: expensive scale-ups, sluggish queries, analysts waiting.
Storage and compute, decoupled
Databricks puts low-cost, limitless object storage under elastic compute. Land every byte, spin up power only when you need it, and pay strictly for the minutes you run.
One platform for every workload
Stream, batch and machine learning on one unified platform, so your team spends its time extracting insight, not wrestling infrastructure.
Warehouse power at data-lake scale
Analytics, AI and streaming on a single, open platform. The lakehouse sits on Delta Lake, an ACID-compliant storage layer that turns cloud object storage into a high-performance engine for structured, semi-structured and unstructured data. One security and governance model spans every workload.
DatabricksXcelerator deploys and secures the whole stack
- Data warehousingDatabricks SQL
- ETL and streamingLakeflow and Auto Loader
- OrchestrationJobs and workflows
- AI and data scienceNotebooks, MLflow, models
- Business intelligencePower BI and dashboards
- Data Intelligence EngineUnderstands your data, so search, SQL and assistants work in your terms
- Unity CatalogOne governance layer: access, lineage and audit across every workload
- Delta LakeACID tables, time travel and schema enforcement on open files
- Azure Data Lake Storage Gen2The open data lake: low-cost, limitless, yours
- VNet-injected workspaces
- Private Link
- Entra ID and SSO
- Key Vault secrets
- Azure Firewall
- CI/CD with Azure DevOps
A first-party service, not a bolt-on
Azure Databricks is a fully featured Databricks platform on Microsoft's cloud. Its integration with the rest of Azure runs deeper than Databricks on other clouds does with theirs, which makes for a more seamless experience across your data estate.
Plugged into the Azure you already run
- Microsoft Entra ID for sign-in and groups
- Azure Data Lake Storage Gen2 as the lake
- Azure Key Vault for secrets
- Data Factory for orchestration and ingestion
- Event Hubs and IoT Hub for streaming
- Power BI for reporting
- Microsoft Purview for estate-wide governance
- Azure Monitor and Log Analytics
Key features of Databricks on Azure
Databricks is easy to stand up and easy to leave open. DatabricksXcelerator deploys it locked down from the first workspace.
Single sign-on
With Microsoft Entra ID. Extend the identity investment you already trust and grant instant, secure Databricks access with full SSO, MFA and conditional-access policies, all managed in one place.
Data exfiltration protection
All Databricks traffic, compute and storage, forced through private endpoints, then locked down with Azure Firewall application and network rules. No public egress, no data leaks.
Restricted public access
Databricks UIs are public by default. Private Link and Azure Firewall shield them so only corporate IPs or VPN ranges get through: seamless sign-in, zero public exposure.
Unity Catalog
One governance layer for the entire lakehouse. Cloud admins set the guardrails once; Databricks admins grant table-level access through the UI or plain SQL. A clear split of responsibilities, with no IAM rewiring.
Stream or batch, same pipeline
Auto Loader's cloudFiles API watches your storage for new files and ingests them in real time or on a schedule with exactly the same code. Flip one setting to move from micro-batch to continuous; schema inference, deduplication and checkpointing handle the rest.
Azure Data Lake Storage Gen2
The lake built into Azure Storage. Petabytes at hundreds of Gb/s on the secure, cost-efficient backbone you already trust: a high-performance landing zone for enterprise-scale analytics.
From empty subscription to first insight
Deployment
Your Databricks platform on Azure, whether you need multiple environments (DEV, TEST, PROD) or a fully secured implementation.
Data engineering
Extra hands for ingesting, cleaning and preparing data, or a data modelling project to get your data ready for Power BI.
DevOps
Notebooks, jobs and pipelines promoted across environments with Azure DevOps or GitHub Actions and Databricks Asset Bundles.
Data integration and onboarding
A greenfield project you think Databricks could solve? We take you all the way from platform delivery through ingestion and modelling to Power BI dashboards.
Security and secrets
Private networking, Key Vault integration, secure lake storage and on-premises to cloud access: a complicated set-up we simplify with our accelerator.
Data lake storage
Your Data Lake Gen2 layout, storage tiers and options designed to maximise performance and keep costs down.