hotglue vs Bucket Robotics

About

hotglue is an embedded iPaaS (integration platform as a service) that enables SaaS companies to add native, user-facing integrations to their products — providing the pre-built connectors, user authentication flows, and integration infrastructure that software companies need to connect with their customers' existing tools (CRMs, marketing platforms, ERPs, data warehouses). Founded in 2020 in Washington D.C. and a Y Combinator W21 graduate, hotglue raised $4 million in seed funding led by 8VC in November 2024, serving 65+ clients across multiple continents with 250+ pre-built connectors.\n\nhotglue's embedded approach means the integration UX lives within the SaaS product itself — customers authorize their accounts for connected services (Salesforce, HubSpot, Snowflake, Google Sheets) through a branded integration flow inside the product, rather than being redirected to a third-party integration marketplace. The SaaS company configures what data flows between their product and the connected services using hotglue's visual data mapping and transformation tools. This white-label experience maintains the SaaS company's product UX quality while reducing the months of engineering work to build native integrations.\n\nIn 2025, hotglue competes in the embedded iPaaS market with Paragon (embedded integrations), Merge (unified API), Workato (enterprise automation with embedded options), and Cyclr for SaaS companies building product integrations. The embedded integration market has grown as "does this integrate with X?" has become a standard question in B2B SaaS sales cycles — companies without integrations lose deals to competitors that connect with the buyer's existing toolstack. hotglue's full data control positioning (customers' data doesn't flow through hotglue's infrastructure) differentiates from platforms where integration processing creates data sovereignty concerns for security-conscious buyers. The 2025 strategy focuses on growing with Series A/B SaaS companies adding integrations as a product-led growth motion, expanding the connector library, and deepening the data transformation capabilities.