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iPaaS (Celigo) or ELT (Fivetran)

When evaluating data integration platforms, iPaaS (Celigo) and ELT (Fivetran) are two prominent options, each catering to different business needs. This comparison delves into the core functionalities, pricing models, user experiences, and ideal use cases to assist you in making an informed decision.

Overview

✅ Use iPaaS if:

  • You need to automate business processes across apps (e.g., syncing orders from Shopify to NetSuite).
  • You require real-time or event-driven data flows between operational systems.
  • You want a drag-and-drop workflow builder with business logic (e.g., “If new record in X, create record in Y”).

✅ Use ELT tools if:

  • Your goal is to centralize data for analytics (e.g., send Salesforce, Google Ads, and Stripe data to Snowflake).
  • You have a data warehouse (like BigQuery, Snowflake, Redshift).
  • Your team is more technical and handles transformations using SQL/dbt.


iPaaS
is like a business operations glue—it connects systems for process automation while ELT tools are like data plumbing—they collect and centralize raw data for insights and reporting.

iPaaS vs ELT Tools

Fundamental Differences: iPaaS vs ELT Tools

Aspect iPaaS ELT Tools
Primary Goal Application & workflow integration across systems Centralized data ingestion & transformation into data warehouses
Core Functionality Sync real-time or scheduled data between SaaS, ERP, CRM, etc. Replicate raw data from sources into a data warehouse for analytics
Target Users Business users, IT teams, operations Data engineers, analysts, BI teams
Architecture Event- or workflow-based pipelines (often low-code/no-code) Data pipelines built for batch ingestion and transformation
Data Movement Point-to-point (app-to-app) or hub-and-spoke Source → Staging → Warehouse
Real-Time Support Often supports near real-time or triggered syncs Typically batch-oriented, some support near real-time
Transformations In-pipeline or via custom scripts After loading into the warehouse, usually with SQL/dbt
Monitoring & Error Handling Visual dashboards, retry logic, error alerts Logs, alerting via CLI, email, or APIs
Common Use Cases Salesforce to NetSuite sync, Order-to-Cash flow, Lead routing Marketing data aggregation, finance analytics, dashboards
Example Tools Celigo, Boomi, MuleSoft, Zapier, Workato DataStori, Fivetran, Stitch, Airbyte, Matillion

Pricing models

iPaaS tools typically charge users by

- the number of business workflows or

- volume of data processed or

- per connector

ELT tools typically charge users by

- the rows fetched or

- the volume of data processed or

- per connector

Conclusion

Both iPaaS and ELT tools offer robust data integration solutions, each excelling in different areas. iPaaS's strength lies in its suitability for businesses seeking to automate complex business workflows. ELT tools stand out with the automated, maintenance-free data pipelines, ideal for organizations focusing on data warehousing and analytics.