HarperDB provides a unified Distributed Systems Platform that integrates database, cache, application, and messaging functions, enabling rapid deployment of backend services with sub-millisecond latency. This technology reduces system complexity and overhead, allowing businesses to scale efficiently while improving application performance and user experience.
Funding
$23.7M 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.
SCFounders
Product
Problem
Modern applications often require complex backend architectures with separate databases, caches, application servers, and messaging systems, leading to increased overhead, inter-process communication delays, and infrastructure complexity. Managing these disparate systems requires specialized expertise and can hinder application performance and scalability.
Solution
HarperDB offers a unified platform that integrates database, caching, application runtime, and messaging functionalities into a single, streamlined technology stack. By consolidating these functions, HarperDB reduces system overhead, minimizes latency, and simplifies the deployment and scaling of backend services. The platform allows developers to embed applications directly within the data system, enabling high-throughput and ultra-low-latency data access. HarperDB's architecture facilitates real-time data synchronization and distribution, allowing for the placement of fully contained service nodes closer to users for improved responsiveness.
Target Audience
HarperDB targets developers and organizations building data-intensive applications, including those in digital commerce, streaming media, and gaming, who need a performant, scalable, and simplified backend solution.
Features
- Unified platform integrating database, cache, application runtime (Node.js, Next.js), and messaging (MQTT, WebSocket, HTTP)
- Automatic REST endpoint generation from GraphQL schemas
- SQL querying capabilities for real-time data access and manipulation
- Built-in real-time pub/sub communication and data processing
- Low-lift horizontal scaling for global service delivery
- In-memory caching system for sub-millisecond data lookups
- Dynamic schema support for flexible data modeling
- Support for custom endpoints via application components