iPaaS (Celigo) or ELT (Fivetran)
iPaaS tools like Celigo automate business workflows across applications, while ELT tools like Fivetran centralize raw data into a warehouse for analytics. Choosing between them depends on whether your goal is process automation or data-driven reporting.
When Should You Use iPaaS?
- 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")
When Should You Use ELT Tools?
- 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, or Redshift
- Your team handles transformations using SQL or dbt
iPaaS is like business operations glue — it connects systems for process automation. ELT tools are like data plumbing — they collect and centralize raw data for insights and reporting.
How Do iPaaS and ELT Tools Compare?
| Aspect | iPaaS | ELT Tools |
|---|---|---|
| Primary Goal | Application and workflow integration across systems | Centralized data ingestion and transformation into data warehouses |
| Core Functionality | Sync real-time or scheduled data between SaaS, ERP, CRM | Replicate raw data from sources into a 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 to Staging to 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 | Visual dashboards, retry logic, error alerts | Logs, alerting via CLI, email, or APIs |
| Example Tools | Celigo, Boomi, MuleSoft, Zapier, Workato | DataStori, Fivetran, Stitch, Airbyte, Matillion |
How Do the Pricing Models Differ?
iPaaS tools typically charge by the number of business workflows, volume of data processed, or per connector. ELT tools typically charge by rows fetched, volume of data processed, or per connector. DataStori uses a flat-rate model of $250/month per application with unlimited pipelines and data volume.
Conclusion
Both iPaaS and ELT tools offer robust data integration solutions, each excelling in different areas. iPaaS is best for organizations that need to automate complex business workflows between operational systems. ELT tools are ideal for organizations that need automated, maintenance-free data pipelines for data warehousing and analytics.
Frequently Asked Questions
Can I use both iPaaS and ELT tools together?
Yes. Many organizations use iPaaS for operational workflow automation (e.g., order syncing between Shopify and NetSuite) and ELT tools for centralizing data into a warehouse for analytics. The two serve complementary purposes.
Which is more cost-effective for a small data team?
ELT tools are generally more cost-effective for small data teams focused on analytics, since they automate ingestion without requiring custom workflow logic. iPaaS tools can cost more due to per-workflow pricing but deliver value when process automation is the primary need.
Where does DataStori fit in this comparison?
DataStori is an ELT tool that automates data ingestion from cloud applications to your data warehouse. It differentiates by running pipelines in your cloud (data never leaves your environment) and charging a flat $250/month per application with unlimited data volume.