<@U04S8PLJWMT> airbye T functionality within ETL?
# replication-ask-ai
c
@kapa.ai airbye T functionality within ETL?
k
Airbyte is designed primarily as an ELT tool, not a traditional ETL tool. - In Airbyte, data is extracted and loaded in raw form into the destination first (typically as JSON blobs or “raw” tables). [[Full sync ELT](https://airbyte.com/tutorials/full-data-synchronization#step-1); [Incremental ELT](https://airbyte.com/tutorials/incremental-data-synchronization#step-1)] - Any transformations (“T”) happen after load, usually via: - dbt-based normalization/transformations triggered by Airbyte in the destination warehouse. [[Incremental ELT](https://airbyte.com/tutorials/incremental-data-synchronization#step-1); [dbt & DuckDB tutorial](https://airbyte.com/tutorials/data-pipeline-with-dbt-duckdb)] - Downstream tools or custom code (e.g., Python with PyAirbyte) operating on the loaded data. [[Python ETL in Docker](https://airbyte.com/tutorials/python-etl-in-docker); [PyAirbyte overview](https://airbyte.com/tutorials/data-pipeline-with-dbt-duckdb)] Airbyte’s UX guidelines explicitly say to strongly favor ELT over ETL, i.e., avoid transforming data before loading and keep schemas as close as possible to the source. [[UX handbook](https://docs.airbyte.com/platform/connector-development/ux-handbook#output-data--schemas)] So Airbyte’s “T functionality” is mainly: - Built‑in normalization and dbt-powered transformations after load. - Support for external transformation layers (dbt, Python, SQL, etc.) operating on the raw data in the destination.
c
@kapa.ai how does api limit i.e. ga4 api, stripe api affect airbyte?
k
A message from kapa.ai
API rate limits (like GA4 or Stripe) affect how fast Airbyte can read from the API and whether retries are needed, but Airbyte has built‑in mechanisms to handle them. ### 1. Default retry & backoff (CDK and Builder) For HTTP-based connectors using the Python CDK, Airbyte: - Automatically retries on HTTP 429 and 5XX responses - Uses an exponential backoff and fails after 5 tries by default [[HTTP CDK rate limiting 1.6](https://docs.airbyte.com/platform/1.6/connector-development/cdk-python/http-streams#rate-limiting); [HTTP CDK rate limiting 1.8](https://docs.airbyte.com/platform/1.8/connector-development/cdk-python/http-streams#rate-limiting)]. - You can override
should_retry
and
backoff_time
in custom CDK connectors if the API has special rules [[HTTP CDK 1.8](https://docs.airbyte.com/platform/1.8/connector-development/cdk-python/http-streams#rate-limiting)]. In the Connector Builder UI, default behavior (when you don’t configure an error handler) is also to: - Retry on 429 and 5XX, - Up to 5 retries, - With a 5‑second exponential backoff [[Error handling – default](https://docs.airbyte.com/platform/connector-development/connector-builder-ui/error-handling)]. You can explicitly configure backoff strategies per API: - Constant, Exponential, or Wait time from header / until time from header based on API docs and headers like
Retry-After
[[Backoff strategies 1.8](https://docs.airbyte.com/platform/1.8/connector-development/connector-builder-ui/error-handling#backoff-strategies)]. ### 2. Global rate limiting (HTTP API Budget) For APIs with strict limits (like GA4 or Stripe), you can cap request throughput via API Budget / HTTP API Budget in config-based connectors and in the Connector Builder Global Configuration: - Define call limits per time window (Fixed window, Moving window, or Unlimited) [[Rate limiting API Budget](https://docs.airbyte.com/platform/connector-development/config-based/understanding-the-yaml-file/rate-limit-api-budget); [Global configuration HTTP API Budget](https://docs.airbyte.com/platform/connector-development/connector-builder-ui/global-configuration#http-api-budget)]. - Optionally read limit info from headers like
X-RateLimit-Remaining
and
X-RateLimit-Reset
, and specify which status codes (usually 429) indicate a rate‑limit hit [[Rate limiting API Budget](https://docs.airbyte.com/platform/connector-development/config-based/understanding-the-yaml-file/rate-limit-api-budget); [Global configuration HTTP API Budget](https://docs.airbyte.com/platform/connector-development/connector-builder-ui/global-configuration#http-api-budget)]. - When a rate limit status code is hit, Airbyte pauses and retries according to these policies [[Global configuration HTTP API Budget](https://docs.airbyte.com/platform/connector-development/connector-builder-ui/global-configuration#http-api-budget)]. ### 3. Stripe-specific behavior For Stripe, the docs state: - Under normal usage, the connector should not hit Stripe rate limits, and rate‑limited calls are automatically retried. - You’re asked to open an issue if you see rate limit problems that aren’t retried successfully [[Stripe rate limiting](https://docs.airbyte.com/integrations/sources/stripe#rate-limiting)]. ### 4. Practical impact - If GA4/Stripe limits are hit, Airbyte will slow down syncs (due to backoff or API Budget waits) but should still complete as long as limits allow enough throughput. - If limits are very strict vs. data volume, syncs can become longer or fail after repeated retries. If you share the exact GA4 or Stripe rate limit you’re concerned about (e.g., X requests per hour), I can suggest a concrete API Budget / backoff configuration pattern using the mechanisms above.
c
@kapa.ai basically free api version for both ga4 and stripe
k
A message from kapa.ai
For the free tiers of GA4 and Stripe, here’s what the Airbyte docs say about how limits affect connectors: ### GA4 (Google Analytics 4 – Google Analytics Data API) - The GA4 connector is explicitly subject to Google Analytics Data API quotas. [[GA4 performance](https://docs.airbyte.com/integrations/sources/google-analytics-data-api#performance-considerations)] - Airbyte does not restate the exact free‑tier numbers; you must rely on Google’s own quota page for the precise limits. [[GA4 performance](https://docs.airbyte.com/integrations/sources/google-analytics-data-api#performance-considerations)] - Forum posts show that users can hit errors like “Exhausted property tokens for a project per hour” even when daily quota remains, meaning hourly / per‑property token limits are often the bottleneck. [[GA4 quota error](https://discuss.airbyte.io/t/3413); [GA4 exhausted tokens discussion](https://discuss.airbyte.io/t/2547)] - The knowledge sources do not provide specific recommended rate settings for free GA4; you’d need to size sync frequency and scope so you stay under those Google quotas. ### Stripe - Stripe has its own rate limits; the connector docs say that under normal usage it “should not run into Stripe API limitations,” and that rate‑limited calls are automatically retried. [[Stripe rate limiting](https://docs.airbyte.com/integrations/sources/stripe#rate-limiting)] - No specific free‑plan numbers (requests per second, etc.) are restated in the Airbyte docs; they point you to Stripe’s own Rate limits documentation for details. [[Stripe rate limiting](https://docs.airbyte.com/integrations/sources/stripe#rate-limiting)] ### Summary - For both free GA4 and free Stripe: - Airbyte depends on the provider’s quotas and does not override or extend them. - When limits are hit (e.g., GA4 429 quota errors), Airbyte backs off / retries, but if the external quota is too low for the amount of data requested, syncs may slow down or fail. [[GA4 performance](https://docs.airbyte.com/integrations/sources/google-analytics-data-api#performance-considerations); [Stripe rate limiting](https://docs.airbyte.com/integrations/sources/stripe#rate-limiting)] - The exact free‑tier quotas (numbers) must be taken from Google’s and Stripe’s own documentation; they are not enumerated in the Airbyte knowledge sources.