ShortformData provides a cloud‑native data integration platform that automates the ingestion, cleaning, and enrichment of structured and semi‑structured data. Users connect to over 150 pre‑built connectors, design low‑code transformation workflows, and schedule scalable serverless pipelines that deliver normalized data via REST and GraphQL APIs for analytics and BI tools.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations that need to extract, transform, and load data from diverse sources often face time‑consuming manual pipelines and fragmented tooling, leading to delayed insights and higher operational costs.
Solution
ShortformData offers a cloud‑native data integration platform that automates the ingestion, cleaning, and enrichment of structured and semi‑structured data. Users connect to source systems via pre‑built connectors, define transformation logic with a visual workflow editor, and schedule pipelines that run at scale. The platform normalizes data into a unified schema and provides APIs for downstream analytics or BI tools. Built‑in monitoring and alerting ensure data quality and pipeline reliability, while role‑based access controls maintain security and compliance.
Target Audience
Primary customers are data engineering teams, analytics departments, and SaaS product managers who require reliable, low‑code data pipelines for reporting and machine‑learning workloads.
Features
- Library of over 150 native connectors for databases, SaaS applications, and file storage
- Drag‑and‑drop workflow builder with support for SQL, Python, and custom scripts
- Real‑time data validation and schema enforcement with automated error handling
- Scalable serverless execution engine that auto‑adjusts resources based on workload
- REST and GraphQL APIs for seamless integration with analytics, BI, and data warehouses
- Comprehensive audit logs and role‑based access control for governance