PlanetScale vs Vellum
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.
LLM application development platform with prompt management, evaluation, and RAG workflows; structured AI feature development competing with LangSmith and Weights & Biases Prompts.
About
Vellum is an AI product development platform providing prompt management, model comparison, workflow orchestration, and production monitoring tools for engineering and product teams building LLM-powered applications — enabling teams to iterate on AI features with rigorous evaluation frameworks rather than ad-hoc prompt tweaking. Founded in 2023 by Andrew Kirima and Noa Flaherty in San Francisco, Vellum has raised approximately $12 million and targets AI-forward product teams at growth companies who need structured workflows for LLM feature development, testing, and deployment.\n\nVellum's platform covers the LLM application development lifecycle: Prompt Workshop for managing and versioning prompt templates with variable substitution, Evaluations for testing prompts against datasets to measure output quality before deployment, Document Index for building RAG (retrieval-augmented generation) pipelines with semantic search over enterprise documents, and Workflows for orchestrating multi-step AI pipelines with branching logic and human-in-the-loop review steps. The monitoring dashboard tracks production LLM performance, latency, and cost across models.\n\nIn 2025, Vellum competes in the rapidly growing LLM development tools market against LangSmith (LangChain's commercial platform), Weights & Biases Prompts, Helicone, Braintrust, and Humanloop for AI application observability and evaluation. The market has grown explosively as companies productionize LLM features and need rigorous quality control processes. Vellum's differentiation is its end-to-end workflow — from prompt development through evaluation to production monitoring — in a single platform rather than requiring separate tools for each stage. The 2025 strategy focuses on expanding workflow complexity support (longer multi-agent pipelines), growing enterprise adoption with SSO and access controls, and adding AI-powered evaluation that automatically judges output quality.
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