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Integrate.io

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4.4 out of 5 stars
260 reviews
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4.4
Serving customers since
2012
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Integrate.io Reviews

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3
Ajanthan M.
AM
Ajanthan M.
04/20/2026
Validated Reviewer
Verified Current User
Review source: Organic

Easy ETL Transformations with Fast, Responsive Support

|Integrate.io
It’s easy to do ETL transformations, and the customer service and support team responds quickly.
Paul W.
PW
Paul W.
04/20/2026
Validated Reviewer
Review source: Organic

Effortless ETL with Top-Notch Customer Support

|Integrate.io
I find Integrate.io very easy to use and straightforward to get started with. It offers a wide range of native connectors for different data sources, which we've used easily without needing any support. For sources without native connectors, the REST API connector lets us connect to almost everything we need. The data transformation capabilities are powerful and flexible, making it an excellent tool for our ETL processes. Additionally, their customer service is excellent; they respond quickly to questions through in-app chat and email, making troubleshooting and implementation much smoother.
Abe D.
AD
Abe D.
02/23/2026
Validated Reviewer
Verified Current User
Review source: Organic

Finally stopped worrying about our data pipelines, and that's saying a lot

|Integrate.io
Honestly, Integrate.io has made my life so much easier. At Sendspark, we are a lean team and we just do not have the bandwidth to have engineers babysitting data pipelines all day. Integrate.io basically solved that for us. The interface is clean and approachable. I am not a super technical person and I was able to set up my first pipeline without feeling completely lost. The connector library is huge, which matters because we use a lot of different tools. And when I did run into issues, their support team was genuinely helpful. Like actual humans who knew the product, not just copy-paste responses from a FAQ.

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HQ Location:
San Francisco, CA

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@Integrateio

What is Integrate.io?

Integrate.io is a low-code data pipeline platform specializing in Operational ETL so companies can automate business processes and manual data preparation. Its three core use cases focus on: 1) File data preparation and B B data sharing ) Preparing and loading data to CRMs and ERPs such as Salesforce, NetSuite, and HubSpot3) Powering data products with real-time database replication.

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Year Founded
2012