Hasura vs Pieces: Which Is Better in 2026?

Hasura is a developer platform that instantly generates a powerful, production-ready GraphQL (and REST) API over your databases, dramatically accelerating backend development. Building APIs to expose your data — with the right queries, mutations, relationships and access controls — is a substantial, repetitive part of development. Hasura automates it: connect your database, and Hasura gives you a flexible, performant GraphQL API in minutes, complete with fine-grained authorization, so developers can focus on building their application rather than writing boilerplate API code.

The platform connects to databases like Postgres and others, automatically creating a GraphQL API that reflects your data and relationships, which front-end and application developers can immediately use to query and modify data efficiently. It provides robust, fine-grained permission and authorization rules so you can control exactly who can access and change what, which is essential for security. Hasura also lets you extend the API with custom business logic and stitch together multiple data sources, making it capable of serving as a unified data access layer for complex applications. The result is faster development, consistent APIs and powerful data access without building it all by hand.

Hasura is used by development teams that want to speed up building applications by generating their data APIs automatically, while retaining control over permissions, performance and extensibility. By eliminating much of the manual work of creating and maintaining APIs and providing a flexible GraphQL layer over their data, it helps teams ship features faster and keep their backends consistent and secure. Its GraphQL-first approach fits modern application development, where flexible, efficient data access is highly valued. As GraphQL adoption grows and teams seek to accelerate backend development without sacrificing control, instant API platforms are increasingly attractive. For development teams that want to instantly create a powerful, secure GraphQL API over their databases, Hasura offers a capable, mature and widely-adopted solution.

Pieces is an AI productivity tool for developers built around a powerful idea: giving you a persistent, on-device memory of your work so you can capture, organize and recall the code snippets, context and materials you encounter throughout your day. Developers constantly deal with fragments — useful code snippets, error messages, links, commands, conversations — scattered across editors, browsers and chats, and lose enormous time re-finding or reconstructing them. Pieces acts as an intelligent long-term memory that helps you save and instantly retrieve all of it.

The tool lets you capture snippets and context with rich metadata automatically added by AI, then find them again through smart search and AI assistance. But its more ambitious feature is the "Long-Term Memory" copilot, which can passively remember your workflow — what you were working on, what you looked at, what you did — so you can ask it questions later like "what was that solution I found yesterday?" and get answers grounded in your own past activity. This addresses the very real problem of context loss and constant re-orientation that fragments a developer's focus.

Crucially, Pieces emphasizes running AI on-device for privacy, so your code and context stay local, and it integrates across the tools developers use — editors like VS Code and JetBrains, browsers, and more — to fit naturally into existing workflows. It also offers an AI copilot you can chat with about your code and saved materials. This makes it appealing to developers who want to reduce the friction of context switching, retain hard-won knowledge, and have an AI assistant that actually knows what they've been doing. As AI copilots become standard, ones with persistent, personal memory of your work stand out. For developers who want to capture their snippets and context and never lose track of what they did, Pieces offers a thoughtful, privacy-conscious and genuinely useful AI memory.