Traditional architecture
Data moves through multiple stored layers, creating copies and dependencies at each stage. Like dominoes, one failure can set off cascading failures across the stages that follow.
Connect any source to any destination, and apply AI, cloud functions, and logic while your data is moving.





























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, trusted, and ready downstream.
Invoke AI cloud functions at any point in the pipeline to enrich, classify, route, and act on data in motion.
Connect data from virtually any system and deliver it wherever it needs to go, without forcing every path through a fixed connector catalog.
Transform, validate, enrich, and route data while it moves, so each record arrives ready for the next step.
Run DataZen in the cloud, on-premises, or across both while keeping the same pipeline logic, flexibility, and operational control.
Capture database changes in real time, even where native Change Capture is unavailable, using synthetic methods that preserve reliable downstream synchronization.
Adapt quickly as business processes evolve by connecting through APIs, databases, files, and custom endpoints without waiting for a vendor to build or update a dedicated connector.
Remove unnecessary landing zones, duplicate storage, and orchestration layers by processing data directly as it moves between systems.
Call AI functions during pipeline execution, so transformation and decisioning happen immediately without sending data through a separate AI workflow.
Keep pipelines running as fields, formats, and structures change, with flexible logic that can detect, adapt, and respond to schema drift.
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, including storage and compute overages.
Supported databases include SQL Server, MySQL, Postgres, Snowflake, and Fabric.
Supported Big Data engines include CosmosDB and Google BigQuery.
Self-hosted agent priced separately — contact us for details.