Prompt

What should I use for Postgres to BigQuery replication?

Technology / Data Infrastructure1 observationLast seen Oct 8, 2026

Latest observation

Oct 8, 2026OpenAI APIWeb search: off

If you want to replicate Postgres to BigQuery, the “best” choice depends on whether you need near-real-time CDC, simple batch loads, or managed low-ops.

Good options

1) Debezium + Kafka / Dataflow / BigQuery sink

Best if you need true change data capture and control.

  • Pros
    • Near-real-time replication
    • Captures inserts/updates/deletes
    • Flexible and well understood
  • Cons
    • More infrastructure to run
    • More operational complexity

Use this if you already have Kafka or are comfortable operating CDC pipelines.


2) Google Datastream → BigQuery

Best if you want a managed Google Cloud solution.

  • Pros
    • Managed CDC from Postgres
    • Integrates well with BigQuery
    • Less operational overhead
  • Cons
    • Tied to GCP
    • Can require some setup around schemas, permissions, and networking

This is often the easiest choice if your stack is already on Google Cloud.


3) Airbyte

Best if you want an open-source or managed ELT tool with easier setup.

  • Pros
    • Simple to configure
    • Supports many sources/destinations
    • Good for both batch and CDC depending on setup
  • Cons
    • CDC quality and performance depend on deployment and connector maturity
    • May need tuning for large/high-write databases

Good middle ground if you want something faster to deploy than building your own pipeline.


4) Fivetran

Best if you want fully managed replication and don’t mind paying for it.

  • Pros
    • Very low operational burden
    • Reliable managed connectors
    • Good schema handling
  • Cons
    • Can get expensive at scale
    • Less control over pipeline behavior

Great if budget is less important than simplicity and reliability.


5) Custom ETL/ELT with scheduled jobs

Best if you only need periodic sync, not CDC.

  • Pros
    • Simple for small datasets
    • Low cost
  • Cons
    • Not real-time
    • Harder to manage deletes/updates correctly
    • Not ideal for large or fast-changing data

Use only if daily/hourly freshness is enough.


My recommendation

  • If you’re on GCP and want CDC: Datastream
  • If you want easiest managed replication overall: Fivetran
  • If you want open-source or more control: Debezium
  • If you want a practical self-managed ELT tool: Airbyte

Quick rule of thumb

  • < 1 hour freshness needed → scheduled ELT / Airbyte
  • Minutes-level freshness needed → Datastream / Debezium / Fivetran
  • Want minimal ops → Fivetran or Datastream
  • Want control and portability → Debezium

If you want, I can also recommend the best option based on:

  • your cloud provider,
  • data volume,
  • latency target,
  • and budget.

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