Informatica · Rate Limits

Informatica Rate Limits

Informatica IDMC governs throughput primarily via the IPU consumption ceiling and per-service Secure Agent / runtime concurrency limits rather than published per-second HTTP rate limits. API & App Integration processes have configurable concurrency on the Cloud Server runtime; mass ingestion and data integration jobs scale by Secure Agent capacity. Specific per-second TPS values are tenant- and pod-dependent.

Informatica Rate Limits is the machine-readable rate-limit profile for Informatica on the APIs.io network, in the API Commons Rate Limits shape.

It captures 2 rate-limit definitions, measuring varies and concurrent_processes.

An exhausted limit returns HTTP 429.

This profile was written by API Evangelist and has not been verified against a page the provider published; treat every limit as unconfirmed until a dated transcription replaces it.

The profile also includes 4 backoff/retry policies defined and response codes documented for throttled and serviceUnavailable.

Tagged areas include Data Integration, iPaaS, IDMC, and Rate Limiting.

2 Limits Exhausted: HTTP 429
Method: generated, dated 2026-05-05.
Written by API Evangelist on 2026-05-05 and not verified against a page the provider published. Treat every limit as unconfirmed until a dated transcription replaces it.
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Data IntegrationiPaaSIDMCRate Limiting

Limits

IDMC API throughput org
varies
governed by Secure Agent capacity, runtime concurrency, and IPU consumption ceiling
Cloud Application Integration process concurrency org
concurrent_processes
configurable on the Cloud Server / Secure Agent runtime

Policies

Backoff Strategy
Clients receiving 429 or 503 should implement exponential backoff with jitter and honor Retry-After when present.
IPU Consumption Alerting
Set IPU consumption thresholds in the IDMC admin UI to receive alerts before pool exhaustion throttles new job submissions.
Runtime Sizing
Throughput is bounded by Secure Agent / runtime sizing; scale by adding agents or moving to a Cloud Server runtime.
Fair Use
Informatica reserves the right to throttle traffic that materially impacts shared pod infrastructure.

Work with this as data

Every rate limit here is available over the APIs.io API and to AI agents over MCP.

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Tools for rate limits

4 MCP tools reach this
  • find_rate_limitsBrowse and filter every rate limit in the catalog.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
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Call it yourself

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This rate limit 
curl "https://apis.io/api/v1/rate-limits/informatica-rate-limits"
All rate limits 
curl "https://apis.io/api/v1/rate-limits?limit=25"

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