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Databases & messaging · #faunadb
FaunaDB has no column-level unique constraint. Use a unique index to reject duplicate writes at the database layer, and handle the error in your application.
Choose between FaunaDB built-in ABAC Roles and application-side checks for multi-tenant serverless apps. Compare atomic enforcement, shared collections and maintenance cost, with a role predicate pattern and verification steps.
When FaunaDB queries exhibit inconsistent latency across regions or unexpected read-after-write behavior, the issue typically stems from partition configuration or replication topology rather than application logic.
Learn how to use FaunaDB’s built‑in geospatial indexes to build fast, cost‑effective location‑based search. Step‑by‑step examples, performance trade‑offs, and best‑practice tips are included.
Learn how to implement stable, high-performance cursor-based pagination in FaunaDB using indexes and the Paginate function to avoid duplicate records during data shifts.
FaunaDB runs each FQL query as a single atomic transaction with ACID guarantees across documents. Use that to enforce multi-document invariants without application locks, with index-driven reads and built-in temporal history.
Use FaunaDB Indexes to restrict candidate sets before applying Filters, avoiding full collection scans and reducing read costs.
Want to guarantee that a user profile and its default settings are created together in FaunaDB? Learn how FaunaDB’s native multi‑document ACID transactions work, when to use them, and a step‑by‑step FQL example that keeps your data consistent without application‑level locks.
Application-level tenant filters fail silently. FaunaDB RBAC pushes isolation into the database by scoping roles to child databases, so a leaked token cannot cross tenant boundaries.