Spring Data · Rate Limits

Spring Data Rate Limits

Spring Data is a self-hosted set of data-access libraries (JPA, MongoDB, Redis, REST, etc.) — there is no vendor-hosted API and therefore no vendor-imposed throughput limits. Throttling for Spring Data REST endpoints is the responsibility of the operator's surrounding gateway or Spring Security filter chain. Numeric limits are entirely operator-determined.

Spring Data Rate Limits is the machine-readable rate-limit profile for Spring Data on the APIs.io network, conforming to the API Commons Rate Limits specification.

It captures 1 rate-limit definition, measuring varies.

The profile also includes 2 backoff/retry policies defined and response codes documented for throttled.

Tagged areas include Data Access, Database, Java, Spring Framework, and Rate Limiting.

1 Limits Throttle: 429
Data AccessDatabaseJavaSpring FrameworkRate Limiting

Limits

Operator-Defined deployment
varies
see operator deployment configuration
Spring Data ships no built-in throttling. Limits are imposed by the surrounding stack (API gateway, Spring Cloud Gateway, Resilience4j, or backend database connection pool).

Policies

Self-Hosted Throttling
Spring Data does not emit Retry-After or X-RateLimit-* headers. Operators bolt on rate-limiting via filter chains or external gateways and define the response contract themselves.
Backpressure From the Database
In practice the effective ceiling for Spring Data REST is the underlying datasource connection pool (HikariCP defaults) and the database server's own concurrency limits, not an HTTP-tier rate limiter.

Sources