Prompt
What should I use for ETL without writing lots of custom code?
Latest observation
If you want ETL with minimal custom code, the best choice is usually a low-code / no-code ETL or ELT tool. The right one depends on your data sources, target warehouse, and budget.
Good options
- Fivetran – very low-code, great for managed connectors, especially for cloud warehouses
- Airbyte – open-source and flexible, a bit more setup but less vendor lock-in
- Matillion – strong for warehouse-centric ETL, more visual/GUI-driven
- Informatica / Talend / SnapLogic – enterprise-grade, lots of connectors, more complex and expensive
- AWS Glue / Azure Data Factory / Google Cloud Data Fusion – good if you’re already in a specific cloud ecosystem
If you want the simplest path
- Fivetran if you want “it just works” managed ingestion
- Airbyte if you want lower cost and more control
- Matillion if your work is mostly in a warehouse like Snowflake/BigQuery/Redshift
Things to consider
- Source systems you need to connect
- Destination: Snowflake, BigQuery, Redshift, Databricks, etc.
- Transformations: simple mapping vs complex business logic
- Scheduling/orchestration
- Cost and whether you need self-hosted vs managed
Rule of thumb
- Mostly ingestion + light transforms → Fivetran or Airbyte + dbt
- More visual transformation workflow → Matillion
- Enterprise integrations/governance → Informatica or Talend
If you tell me:
- your data sources,
- where you want to load data, and
- your budget/tech stack,
I can recommend the best specific tool.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
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