PlanetScale vs Extend
Side-by-side comparison of AI visibility scores, market position, and capabilities
Serverless MySQL-compatible database with Git-like schema branching built on Vitess; $105M raised competing with Neon and CockroachDB after eliminating free tier for enterprise focus.
About
PlanetScale is a serverless MySQL-compatible database platform built on Vitess, the open-source horizontal sharding technology originally developed at YouTube to scale MySQL to planetary-scale traffic — offering database branching workflows (creating database branches like code branches for schema changes), zero-downtime migrations, and automatic horizontal sharding for applications that outgrow single-server MySQL. Founded by the creators of Vitess and headquartered in San Francisco, PlanetScale raised $105 million in funding and generated $3.9 million in revenue in 2024 with 103 employees.\n\nPlanetScale's most distinctive feature is its database branching workflow — developers create a branch of the production database, test schema changes safely in isolation, and merge them to production with non-blocking deployments that don't lock tables or cause downtime. This Git-like workflow for database changes dramatically improves developer experience compared to traditional MySQL migrations that require maintenance windows and careful coordination. The serverless pricing model (pay for queries executed, not servers provisioned) eliminates the need to size and manage database instances.\n\nIn 2025, PlanetScale made a significant pricing change — eliminating the free tier that had made it popular with indie developers and startups — which caused significant community backlash and customer churn in 2024. The company has refocused on enterprise customers who need MySQL at scale. PlanetScale competes with Neon (serverless PostgreSQL), CockroachDB, Aurora MySQL (AWS), and PlanetScale's own open-source Vitess for scalable MySQL infrastructure. The 2025 strategy focuses on enterprise customers (10,000+ customer scale companies running MySQL that need horizontal scaling), rebuilding developer community trust through improved documentation and enterprise-focused features, and deepening the integration between PlanetScale's managed service and Vitess open source.
San Francisco AI document processing using LLMs for enterprise data extraction from invoices, contracts, and forms; $17M Innovation Endeavors and YC-backed at multi-million ARR serving Brex and Square cash-flow positive.
About
Extend is a San Francisco-based AI document processing platform using large language models to provide accurate data extraction and document understanding for enterprise workflows — turning unstructured documents (invoices, contracts, medical records, financial statements, onboarding forms) into structured data at the accuracy and cost level that manual processing and traditional OCR cannot match at scale. Backed with $17 million raised in combined seed and Series A funding led by Innovation Endeavors with Y Combinator, Homebrew, and angel investors including Adobe's CSO and Vercel's CEO, Extend reached multi-million dollar ARR and cash-flow positive status serving customers including Brex, Square, Checkr, and multiple Fortune 500 companies.
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