PlanetScale vs Reducto
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.
SF AI document parsing API processing 1B+ pages monthly at 20%+ higher accuracy than AWS/Google/Microsoft; $108M total ($75M a16z Series B Oct 2025) serving Scale AI, Harvey, and Fortune 10 for enterprise document intelligence.
About
Reducto is a San Francisco-based AI document intelligence company — backed by $108 million in total funding including a $75 million Series B led by Andreessen Horowitz in October 2025, plus a $24.5 million Series A from Benchmark in April 2025 and an $8.4 million seed from First Round Capital, Y Combinator, BoxGroup, SV Angel, and Liquid2 in October 2024 — providing enterprises and AI development teams with the most accurate document parsing API available for extracting structured data from PDFs, scanned documents, spreadsheets, and unstructured files at human-level reading accuracy. Reducto processes over one billion pages monthly for thousands of customers including Scale AI, Harvey, Rogo, Fortune 10 enterprises, global financial institutions, and Big Four accounting firms — delivering 20%+ higher extraction accuracy than AWS Textract, Google Document AI, and Microsoft Azure Form Recognizer.
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