Data Product Studio
Design reusable data products for analytics, AI assistants, and customer-facing applications.
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Lakehouse + AI Workbench
NextBrick Data AI Platform
A Databricks-style platform for pipelines, notebooks, governance, ML, and AI data products.
NextBrick Data AI Platform unifies ingestion, transformation, exploration, ML, feature engineering, and AI workflows for teams building reliable data products.
Positioned to replace
Databricks
Pipelines
Batch, streaming, and CDC workflows
ML + AI
Feature, model, and retrieval workflows
Governed
Access, audit, lineage, and quality
What Makes It Different
A productized NextBrick operating layer built around real enterprise workflows, not a thin wrapper around one vendor.
Pipeline Operations
Monitor Spark, Kafka, ingestion jobs, retries, and data quality from one surface.
AI-Ready Datasets
Prepare embeddings, features, and semantic views for retrieval and model workflows.
Governance First
Catalog, access controls, lineage, and audit reports are part of the operating model.
Use Cases
- Databricks modernization
- AI data foundation
- Analytics engineering
- Feature pipelines
Why Teams Choose It
- Unify data and AI delivery
- Reduce notebook sprawl
- Govern AI datasets
- Operationalize pipelines
Product Modules
The product is packaged into clear capabilities so teams can adopt incrementally and expand as the platform matures.
Workspace
Pipelines
Quality
Catalog
Features
Model Ops