Overview
Extract data in record time
Leverage the power of SQL to simplify data ingestion and acquisition against HTTP data sources, flat files, and databases using a unified syntax.
Transform you data with preview
Apply source-specific and/or target-specific pipeline transformations to shape and enforce schema, on the fly.
Capture then Push anywhere
Capture you source data, and optionally apply Change Data Capture (CDC) before pushing to your target systems.
Architecture
Change Log Centric
DataZen implements a change log architecture providing maximum data reuse,
observability, accountability, and design flexibility regardless of the source
or target system.
This any-to-any data pipeline architecture provides an extensible
data management and data engineering pane, with the option to define target-specific
last-mile transformations.
Features
| Data Sources & Targets | Relational (SQL Server, Snowflake, MySQL, PostgreSQL...) HTTP/S Endpoints & REST APIs (any) Drives & Flat Files (AWS, Azure, Google, FTP) Webhooks (real-time ingestion) Self-Hosted only: Messaging platforms (consumers and publishers) ODBC Drivers Oracle, Teradata |
| Data Acquisition |
Initialialization High Watermark Change Data Capture Replay |
| Pipeline Transforms |
Schema Enforcement SQL and Regex Filters On-the-fly SQL Transforms Data Masking Inline HTTP/S Data Enhancement External Cloud Function Calls |
| Other |
History Agent REST API Self-Hosted or Pure Cloud Triggers Web Portal & Windows Client UI |
Pricing
DataZen Cloud Agent
| Cloud Agent Instance |
Starts at $499 per month (based on SKU and region) |
| Consumption |
Storage & Compute Execution count |
SKUs may be limited by connection count, pipeline count, frequency and other features.
DataZen Self-Hosted Agent
| Self-Hosted Agent Instance |
Starts at $8,000 per agent per year (based on SKU and region) |
| Connection | Based on SKU and sold separately |
| Consumption | Unlimited pipelines |
SKUs may be limited by connection count, pipeline count, frequency and other features.