There are three categories, and they are not competitors. Loaders move files into Salesforce. ELT platforms replicate Salesforce out to a warehouse for analysis. iPaaS tools keep Salesforce in sync with other applications in near real time. Pick by what your source looks like, and note that none of the three read a document.
| Category | What it is for | Typical examples |
|---|---|---|
| Loaders | Getting files in and out, one object at a time, including scheduled command-line runs | Data Loader, the Data Import Wizard, Bulk API callers |
| ELT and warehouse replication | Copying Salesforce objects into a warehouse so analysts can query them | Managed replication services and warehouse-native connectors |
| iPaaS and integration platforms | Keeping Salesforce and other applications in step, event by event | Workato, Mulesoft, Tray, Zapier, Make, n8n |
Pick by source shape
- A file that arrives on a schedule wants a loader with a scheduled command-line run, plus somewhere to do the transformation.
- Another application with a clean API wants an iPaaS tool or a packaged connector.
- A reporting question wants replication to a warehouse. Do not build a pipeline to answer a question a report can answer.
- A document or an email is not an ETL problem at all, which is the point below.
The gap in all three categories
Every tool in the table assumes structured input. In law firms and RIAs a large share of inbound data is not structured: signed agreements, custodian statements, medical records, e-billing rejections, referral emails, client instructions in a thread.
That work is either done by a person or it is not done. It is also usually the highest-volume category, which is why firms with a well-built integration stack still have a data-entry queue.
What to ask a vendor
- How does a failed row surface, and who sees it? Silent failure is the most expensive feature in this category.
- Can it upsert on an external ID? If not, every rerun is a duplication risk.
- What does the run log show? In a regulated firm, an unexplainable write is a problem regardless of whether it was correct.
- What happens when the schema changes? Someone will add a required field without telling you.
Where Caddi fits
Caddi covers the input the ETL categories skip. It reads varied documents and shared-inbox email, applies your rules, and writes into Salesforce over the API as deterministic code, logged run by run. It sits alongside your loader and your iPaaS tool rather than replacing them, and it takes the queue neither of them can reach.
Related: Import Wizard vs Data Loader, Workato alternatives, and CRM migration.
The recurring half
See the unstructured half handled
Caddi reads the documents and the inbox, then writes clean records into Salesforce.
Frequently asked questions
What are the best ETL tools for Salesforce?
It depends on the source. Data Loader and the Bulk API handle files. Managed replication services copy Salesforce into a warehouse for analysis. iPaaS platforms such as Workato, Mulesoft, Tray, Zapier, Make and n8n keep Salesforce in step with other applications. Choose by source shape rather than by feature list.
Is Data Loader an ETL tool?
It is the L. It extracts and loads but does not transform, so anything requiring cleanup or derivation happens in a spreadsheet or a script before the load.
Do I need an ETL tool for a Salesforce migration?
Usually a loader plus a transformation step is enough, because a migration is a one-way move rather than an ongoing pipeline. The exception is a migration involving many objects with interdependent IDs, where scripted control over extract order pays for itself.
What can ETL tools not do?
Read unstructured input. Documents, scanned statements and email threads have to be interpreted before they can become records, and that step sits outside every ETL category.