SYSTEM ONLINE — v3.2.0

Build Intelligent Pipelines.
Zero Infrastructure.

AI-POWERED DATA OPERATIONS PLATFORM

Connect 20+ data sources. Transform with natural language. Monitor in real-time. Deploy with one click. DataForge turns your data chaos into production-grade pipelines in minutes, not months.

Connect Everything

First-class connectors with schema detection, incremental sync, and automatic retry. Plug in once — DataForge handles the rest.

Databricks
Lakehouse
Azure
Cloud Platform
MongoDB
Document DB
Supabase
PostgreSQL
Snowflake
Data Warehouse
BigQuery
Analytics
PostgreSQL
Relational DB
S3 / R2
Object Storage
REST APIs
HTTP / Webhook

Operations-Grade Tooling

Everything you need to build, ship, and monitor data pipelines at scale — without managing infrastructure.

Visual Pipeline Builder

Drag-and-drop DAG editor with live preview. Wire sources to destinations, add transforms, and see data flow in real-time. No YAML required.

AI Transformations

Describe what you want in plain English. DataForge generates optimized SQL, Python, or Spark code. Review, edit, deploy — natural language to production.

Datadog Monitoring

Native Datadog integration for pipeline health, latency, throughput, and error tracking. Custom dashboards and alerts out of the box.

Scheduled Runs

Cron-based scheduling with timezone support, dependency chains, and SLA monitoring. Backfill historical data with a single click.

Webhook Triggers

Event-driven pipelines triggered by webhooks, database change streams, or upstream pipeline completions. Sub-second activation.

Version Control

Git-native pipeline versioning. Branch, diff, review, and merge pipeline changes. Full audit trail with instant rollback to any version.

dataforge-cli v3.2.0
# Create a pipeline from natural language
$ dataforge create --ai "Sync new Stripe payments to Snowflake every 15 min, enrich with customer data from MongoDB, deduplicate by payment_id"
→ Analyzing requirements...
→ Generated pipeline: stripe_payments_sync (3 stages, 2 sources)
→ Transform: SQL join + dedup (estimated 12ms/batch)
→ Preview: ✓ schema valid | ✓ connections verified | ✓ ready to deploy

$ dataforge deploy --env production
→ Deployed. Pipeline live at https://app.dataforge.io/p/stripe_payments_sync
→ Datadog dashboard: https://dd.dataforge.io/d/sp-sync

See the Data Flow

Every pipeline is a directed acyclic graph — visible, debuggable, and version-controlled from source to destination.

Source
PostgreSQL
CDC stream
Transform
SQL + Python
Clean & normalize
AI Enrich
GPT-4 Classify
Sentiment + category
Destination
Snowflake
analytics.enriched
0
Rows/sec
0
Avg Latency (ms)
0
Uptime %
0
Errors (24h)

Native Where It Matters

Not just connectors — deep, bidirectional integrations that leverage each platform's unique capabilities.

Lakehouse
Databricks Unity Catalog

Full Unity Catalog support — browse schemas, tables, and volumes. Leverage Delta Lake for ACID transactions and time travel. Run Spark jobs natively.

AI Services
Azure Cognitive Services

Inline AI enrichment — vision, language, speech, and decision APIs. Classify documents, extract entities, analyze sentiment as pipeline steps.

Document DB
MongoDB Atlas

Change stream CDC for real-time sync. Atlas Search integration for full-text pipelines. Aggregation pipeline passthrough for complex transforms.

Object Store
Cloudflare R2

Zero-egress object storage for pipeline artifacts, intermediate state, and data lake staging. S3-compatible API with global distribution.

Scale With Your Data

Start free. No credit card required. Upgrade when your pipelines demand it.

Developer
$49/mo
10 ACTIVE PIPELINES
  • 5 data source connections
  • Visual pipeline builder
  • AI transform — 1K calls/mo
  • 15-min schedule minimum
  • Basic Datadog dashboards
  • Community support
Enterprise
$499/mo
UNLIMITED PIPELINES
  • Everything in Team
  • Unlimited AI transforms
  • Real-time streaming (sub-second)
  • Custom connectors SDK
  • SSO / SAML / SCIM
  • Dedicated infrastructure
  • Unlimited seats
  • SLA + dedicated engineer