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Data Pipeline Platform

Move data from anywhere
to anywhere. Automatically.

DataFlow connects your databases, cloud services, and files into scheduled, auditable pipelines — no custom integration code required. Define your source, your target, your strategy, and let DataFlow handle the rest.

13+ connector types No custom integration code Full execution audit trail

Connect to the systems you already use

Databases
PostgreSQL MySQL Oracle SQL Server Vertica CockroachDB
Cloud & SaaS
Salesforce ServiceNow SharePoint OneDrive S3 / MinIO
Files
Excel CSV

Everything your team needs to manage data pipelines

DataFlow covers the full lifecycle — from connecting a source to monitoring the last run.

Task-Based Pipelines

Each pipeline task defines a source query, a target table, and a loading strategy. Run it once or put it on a schedule — DataFlow handles the rest.

Flexible Loading Strategies

Choose from composable strategies — append, upsert, full refresh, schema evolution, or rebuild. Mix and match to match exactly how your data needs to land.

Cron Scheduling

Schedule any pipeline to run hourly, daily, weekly, monthly, or with a custom cron expression. DataFlow runs it in the background with full history logged.

Real-Time Execution Logs

Watch your pipeline run live. Logs stream in real time with color-coded levels — info, warning, error — so you can pinpoint exactly what happened and when.

Data Explorer

Query any connected source ad hoc — SQL, SOQL, ServiceNow syntax, or S3 prefixes. Preview results, export to CSV, or turn a query directly into a scheduled pipeline task.

Team-Based Access Control

Organize work into isolated teams with three permission levels — Admin, Member, and Viewer — so each person sees and can do exactly what their role requires.

From connection to automated pipeline in minutes

No code. No custom integrations. Just configure, run, and monitor.

01

Connect Your Sources & Targets

Add connections to your databases, cloud services, or files. DataFlow tests the connection and securely stores credentials — sensitive fields are never displayed again after setup.

02

Define a Task

Pick a source, write your query (SQL, SOQL, or a file path), choose a target table, and select a loading strategy. Use the Data Explorer to validate your query before saving.

03

Schedule & Monitor

Set a schedule or run on demand. Every execution is logged — records processed, duration, status, and a full line-by-line log — so your team always has a complete audit trail.

Control exactly how data lands in your target

Strategies are composable — combine them to match your exact use case, or choose a preset.

Append Add new rows without touching existing data
Upsert Insert new rows, update existing ones by key
Full Refresh Truncate and reload the target table completely
Rebuild Drop, recreate, and reload from scratch
Evolve & Refresh Add new columns as the schema changes, then reload
Incremental Append only new records since the last run

See DataFlow with your own data sources

Get a personalized walkthrough using the connectors and pipeline patterns relevant to your team — no generic demos.