Automatically ingest raw data from any source and implement bronze, silver, and gold layers using Apache Iceberg, Delta Tables, S3, and more. Do it all in days, not months.
The medallion architecture has become a de facto standard for modern analytics. Its bronze (raw), silver (cleansed), and gold (business-ready) storage layers help data engineering teams organize and scale data pipelines. But most medallion architectures are not so agile. Why? Because it takes a long time to extract the right data, improve data quality, and build business metrics across separate layers that support all business needs.
With Nexla, you can implement a medallion architecture fast, with unmatched flexibility, observability, and control at every stage of the data lifecycle.
Accelerate implementation and reduce time-to-insight with Nexla’s no-code integration and self-service capabilities.
Leverage a vast library of connectors to unify data across systems—files, databases, APIs, events, SaaS, and more.
Deliver data at any speed, from batch to real-time streaming, using any protocol, all with the same medallion architecture.
Control access, compliance, and quality with Nexla’s Data Product Marketplace, making governance part of everyday workflows.
Confidently scale from terabytes to petabytes with Nexla’s proven enterprise-grade infrastructure.
Deploy on premises and any combination of cloud platforms and data lakes with no vendor lock-in and full deployment freedom.
Ingest data from virtually any source—databases, files, APIs, SaaS apps, event streams, and more—into your data lake or warehouse.
As data is ingested, Nexla automatically infers schemas and creates “Nexsets”—structured, reusable data products with built-in metadata, lineage, and access control.
Move from bronze to silver to gold layers with built-in tools for transformation, enrichment, validation, and schema evolution—no code required.
Empower teams to discover, share, and govern data products across layers using Nexla’s internal marketplace, enabling self-service without sacrificing control.
Track every transformation, access event, and schema change with end-to-end data observability and auditability—with full support for Iceberg, Delta Lake, and Parquet on any cloud storage, including S3, GCS, and ADLS.
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