An intelligent data pipeline and transformation platform — built so growing businesses can move, clean, transform, and operationalise their data without needing a dedicated data engineering team or months of custom build work.
Most growing businesses have data scattered across a CRM, a couple of databases, several SaaS tools, financial software, and a graveyard of spreadsheets that someone started and abandoned. Each of these systems holds a piece of the truth — but getting them to talk to each other means writing custom scripts, building ETL pipelines from scratch, or paying a data engineer ₹12–18L a year to maintain brittle infrastructure.
When the pipeline breaks — and it will — nobody knows until a dashboard shows stale data or a report quietly becomes wrong. By then, decisions have already been made on incorrect numbers.
DataForge gives non-engineers the power to build, schedule, and monitor production-grade data pipelines through a clean visual interface — without writing a line of code for most workflows. Connect your sources, define your transformations, set your schedule, and let DataForge handle the rest.
For teams that need SQL-level control, DataForge's transformation engine supports it. But you'll never need it just to move data from HubSpot to your warehouse.
Connect to any major database (PostgreSQL, MySQL, MongoDB, BigQuery), CRM (HubSpot, Salesforce, Zoho), SaaS tool (Stripe, Shopify, Intercom), file system, or REST API — without writing a single integration. New connectors are added weekly based on user requests.
Build transformation logic by dragging, dropping, and configuring — no SQL required for standard operations like filtering, joining, aggregating, pivoting, and enriching. For advanced users, a full SQL editor is available alongside the visual builder in the same workflow.
Run pipelines on a fixed schedule (every hour, every day, every week), trigger them on events (new record created, file uploaded, webhook fired), or chain them into multi-step workflows where one pipeline's output becomes another's input — with full dependency management.
Every pipeline run is logged with full execution details — rows processed, transformation steps completed, errors encountered, and duration. Set threshold-based alerts for latency, failure rates, or data volume anomalies, and get notified via Slack, email, or webhook before stakeholders notice a problem.
Describe what you want in plain English — "take yesterday's HubSpot deals, join them with Stripe transactions, and load into BigQuery" — and DataForge drafts the pipeline configuration for you. Review, tweak, and deploy. Especially useful for teams without technical data expertise.
All data is encrypted in transit (TLS 1.3) and at rest (AES-256). Role-based access controls let you define who can view, edit, or execute each pipeline. Full audit logs capture every change. For enterprises, self-hosted deployment and data residency options are available.
A SaaS company syncs Stripe subscription data, HubSpot deal pipeline, Razorpay transactions, and their own database into a single BigQuery dataset. DataForge runs a nightly pipeline that cleans, joins, and loads the data — giving their finance and growth teams a unified revenue view every morning.
An e-commerce brand pulls order data, support ticket history, NPS scores, email engagement rates, and app usage logs into a customer health score model. DataForge runs the aggregation pipeline every 6 hours — letting the CX team proactively reach out to at-risk accounts before they churn.
A logistics company that used to spend 6 hours every Friday compiling ops metrics now uses a DataForge pipeline that pulls data from their TMS, WMS, and carrier APIs, transforms it into a structured format, and loads it into a Google Sheet that auto-populates their leadership report template. Six hours of manual work → fully automated.
DataForge is in private beta with a select group of early adopters. We're deliberately keeping this cohort small — we want companies who will use it deeply, give us honest feedback, and help us build something genuinely excellent rather than just functional.
Beta participants get full platform access at no cost for the duration of the beta, direct access to the product team (not a support queue), priority feature requests, and guaranteed discounted pricing at public launch.
Scale-ups and mid-size businesses that have valuable data but lack the engineering resources to operationalise it.
Operations, finance, or growth teams spending significant time on manual data collection, cleaning, and reporting.
Teams willing to tell us what isn't working, not just what they like. We build better with honest signal.
Companies that see DataForge as infrastructure — not a point solution — and want a platform that grows with them.
Drop us a line and a real person from Stack18 will get back to you within one business day — no bots, no auto-replies.
Reaching out from: Platform — DataForge