Supabase raises $150m, acquires database startup Turso
Turso co-founder Glauber Costa will lead Supabase’s agentic services.
Supabase, a database startup that leverages the open-source PostgreSQL, has secured $150 million in funding led by Singapore's GIC sovereign wealth fund, alongside investors Alphabet Inc.'s CapitalG, IronArc, and SquarePeg. Simultaneously, the company announced the acquisition of Turso, another database startup, for an undisclosed amount.
PostgreSQL is widely recognized for its reliability and free availability, with Supabase providing a premium version that adds extra features. These include a simplified user login management system and backup generation. Supabase also offers tools optimized for AI workloads, such as the ability to store embeddings—data structures used by neural network models—and an MCP server that allows external AI agents to read and edit records.
The acquisition of Turso will bolster Supabase's AI capabilities. Turso, based on the SQLite relational store known for its small hardware footprint, is particularly suited to AI applications. SQLite can operate efficiently on low-power devices such as smartphones and wearables, making it ideal for AI agents to create databases for storing their collected or generated data quickly.
Turso enhances this by encrypting each database page differently, strengthening security against hacking. Its core features are available for free, with monetization coming from a paid cloud version that automates infrastructure management.
Supabase plans to use the funding to support its employees and develop new AI features. The company's CEO, Paul Copplestone, highlighted the growing need for a more adaptable database infrastructure as AI agents are increasingly spinning up millions of databases to power prototypes, explorations, dashboards, and apps. Supabase aims to address this with its new cloud service, Supabase Compute, which will offer hosted sandboxes for long-running AI agents.
These agents might benefit from Turso's lightweight instances for simpler tasks that don't necessitate a full relational database.
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