Use only the layers that matter
DataZen makes bronze and silver optional, so every pipeline uses only the layers that add value.
DataZen connects data from any source system to any target. It transforms data inline, moves data directly, and gives every pipeline the shortest path from source to destination.
Traditional architecture adds copies, handoffs, delays, and complexity. DataZen gives teams a faster path from raw data to usable output.
Move only what changes, prepare data in motion, and deliver clean, ready data to any destination.
DataZen makes bronze and silver optional, so every pipeline uses only the layers that add value.
DataZen lets teams define their inputs and outputs, then manages the flow between them.
DataZen connects legacy systems, modern cloud platforms, and operational tools without a big migration.
Connect to databases, HTTP/S APIs, files, cloud drives, messaging systems, and other operational sources. DataZen reads the data you need, shapes it as it moves, and delivers clean outputs to databases, dashboards, applications, files, APIs, and AI workflows.
Messy, nested, duplicated, inconsistent, or hard to access.
Structured, auditable, and ready for teams and downstream systems.
DataZen lets pipelines run inline, with raw archives, staging tables, and change logs added only when they serve the use case.
DataZen brings source connections, acquisition patterns, transformations, and delivery tools into one workflow.
| Sources & Targets | Connect to SQL Server, Snowflake, MySQL, PostgreSQL, HTTP/S endpoints, REST APIs, drives, flat files across AWS, Azure, Google, and FTP, and real-time webhooks. Self-hosted deployments also support messaging platforms, ODBC drivers, Oracle, and Teradata. |
| Data Acquisition | Initialize, update, and replay data using high watermarks, mini-batches, paging, cursor windows, Change Data Capture, and Synthetic CDC. |
| Pipeline Transforms | Enforce schemas, filter with SQL or regex, mask data, and apply on-the-fly SQL transforms as records move through the pipeline. |
| Pipeline Enrichment | Enhance data inline with HTTP/S calls, external APIs, cloud functions, AI endpoints, and internal services, then return the response back into the pipeline. |
| AI & MCP Workflows | Prepare governed, AI-ready data by cleaning, masking, transforming, and enriching records before they reach agents or models. Expose approved read pipelines as MCP tools, call AI endpoints inline, and let agents work with controlled datasets without direct access to source systems. |
| Deployment | Run DataZen as pure cloud, self-hosted, or hybrid, including deployments close to secure internal systems when governance or connectivity requires it. |
| Operations & Interfaces | Manage history, triggers, Agent REST API access, the web portal, and the Windows Client UI. |
Choose the DataZen tier that matches your current integration needs, then expand as sources, pipelines, and execution demands increase.
Pricing is per agent per month, paid upfront, and is non-refundable; additional consumption charges may apply.
Supported database targets include SQL Server, MySQL, Postgres, Snowflake, and Fabric. Self-hosted agent priced separately – contact us for details.