Prompt

I need a warehouse for batch ELT from CRM and ERP systems

Technology / Data Infrastructure1 observationLast seen Oct 8, 2026

Latest observation

Oct 8, 2026OpenAI APIWeb search: off

For batch ELT from CRM and ERP systems, you typically want a cloud data warehouse optimized for structured data, SQL analytics, scalability, and low ops overhead.

Good warehouse options

1. Snowflake

Best if you want:

  • Very fast setup
  • Strong support for batch ELT
  • Separation of storage and compute
  • Easy scaling for mixed workloads
  • Good integration with common ETL/ELT tools

2. Google BigQuery

Best if you want:

  • Fully managed serverless warehouse
  • Minimal infrastructure management
  • Strong SQL analytics
  • Good fit for large batch loads and ad hoc analysis

3. Amazon Redshift

Best if you want:

  • AWS-native warehouse
  • Good if your stack is already on AWS
  • Strong performance for relational analytics
  • More tuning/ops than Snowflake or BigQuery, but mature

4. Azure Synapse Analytics

Best if you want:

  • Azure-native ecosystem
  • Integration with Microsoft tooling
  • Suitable for enterprises already standardized on Azure

Recommendation

If you’re starting from scratch and want the simplest path for batch ELT from CRM/ERP:

  • Snowflake is usually the safest general-purpose choice
  • BigQuery is excellent if you prefer serverless and are on GCP
  • Redshift if you’re committed to AWS

Key warehouse capabilities to look for

For CRM/ERP batch ELT, make sure the warehouse supports:

  • Bulk loading from files / object storage
  • Incremental loads and upserts / MERGE
  • Strong SQL transformations
  • Concurrency for BI and data engineering
  • Role-based access control
  • Auditability and data retention
  • Schema evolution handling

Typical architecture

  • CRM/ERP source systems
  • Batch extraction into landing zone (S3 / GCS / ADLS)
  • ELT into warehouse raw/staging layer
  • Transform into curated marts
  • BI/analytics on top

If you want, I can also recommend the best warehouse based on your cloud provider, data volume, and budget.

Observation history

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