What should I use for no-code pipeline setup for analysts?

If your goal is no-code pipeline setup for analysts, the best choice usually depends on whether you want:

1. simple data prep / ELT,
2. workflow automation, or
3. full analytics engineering pipelines.

Here are the best options by use case:

Best all-around for analysts: dbt Cloud

• Great for SQL-based transformation pipelines
• Analysts can work with familiar SQL
• Built-in scheduling, testing, documentation, and lineage
• Good if your team already uses a warehouse like BigQuery, Snowflake, or Redshift

Best true no-code / low-code workflow automation: Airbyte + a workflow tool

• Airbyte for moving data from sources into your warehouse
• Pair with Prefect, Make, Zapier, or n8n for orchestration
• Good when analysts need to stitch together sources without much engineering help

Best visual pipeline builder: Matillion

• More drag-and-drop than code
• Strong for ETL/ELT pipelines in cloud warehouses
• Often used by analytics teams that want less SQL-heavy setup

Best for business users and analysts wanting very simple setup: Alteryx

• Very user-friendly visual interface
• Strong for data prep, joins, cleaning, and repeatable workflows
• Can be expensive, but popular with analyst teams

Best for SaaS-to-warehouse pipelines: Fivetran

• Very low maintenance
• Excellent connectors
• Less flexible for custom logic, but great if you mostly need ingestion

Quick recommendation

• Mostly SQL-savvy analysts: dbt Cloud
• Need drag-and-drop pipeline building: Matillion or Alteryx
• Need easy data ingestion from many sources: Fivetran
• Want a lightweight open-ish stack: Airbyte + dbt Cloud

If you tell me:

• your data warehouse,
• main data sources,
• and whether analysts are comfortable with SQL,

I can recommend the best option more precisely.