Nile provides a serverless PostgreSQL platform specifically designed for building multi-tenant B2B applications, enabling developers to manage customer-specific data and vector embeddings within a single database. This approach eliminates the complexities and costs associated with maintaining separate databases for each tenant while ensuring secure data isolation and efficient scaling to millions of tenants.
Funding
$11.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Building multi-tenant B2B applications often requires managing separate databases for each customer, leading to operational overhead, frustrating developer experiences, and high infrastructure costs. Traditional approaches struggle to balance data isolation with cost efficiency and scalability, especially when dealing with customer-specific vector embeddings for AI applications.
Solution
Nile provides a serverless PostgreSQL platform re-engineered for multi-tenant B2B applications, enabling developers to manage customer-specific data and vector embeddings within a single database instance. This approach eliminates the need for separate databases per tenant, reducing operational complexity and costs while ensuring secure data isolation through built-in tenant virtualization. Nile leverages object storage and shared compute to achieve significant cost optimization, allowing for customer-specific vector embeddings at a fraction of the traditional cost. The platform also offers the flexibility to place tenants on either serverless or provisioned compute based on their specific performance and security requirements, with the ability to move tenants between compute options without downtime.
Target Audience
Nile primarily targets developers and organizations building multi-tenant B2B applications, particularly those leveraging AI and requiring customer-specific vector embeddings.
Features
- Tenant virtualization isolates data access across tenants, restricting access to specific virtual tenant databases from the application layer.
- Support for the open-source pgvector extension enables building multi-tenant Retrieval Augmented Generation (RAG) applications with customer-specific vector embeddings.
- Automated schema migrations across tenants, executed with a single command and fully atomic.
- Tenant-level branching and backups for testing, issue reproduction, and instant restores.
- Instant customer dashboard for tracking growth of customers, embeddings, and queries, with per-customer metrics and user profile management.
- Ability to securely share data across tenants using shared tables.
- Autoscaling to millions of tenants and billions of embeddings, scaling to zero with no cold start time.