Streamline Your Data Workflow with Integrate.io
April 11, 2023

Streamline Your Data Workflow with Integrate.io

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Software Version

Xplenty (legacy)

Overall Satisfaction with Integrate.io

We use Integrate.io as our main api management tool. It's our main source for connecting to marketing APIs to pull down performance data. We also use it to connect to assorted other cloud data sources. The data is then written to our data warehouse for use in business intelligence reporting.

Pros

  • ETL
  • data aggregation
  • scheduling

Cons

  • more marketing connectors
  • ETL
  • Scheduling
  • support
  • We've been able to support hundreds of integrations
  • The ROI vs hiring developers is great
Integrate.io offers more customization options than Datorama, allowing businesses to create their own custom integrations and workflows using their API and SDKs. Integrate.io's pricing model is based on the number of data transactions, which may be more cost-effective for businesses that have a high volume of data.

Do you think Integrate.io delivers good value for the price?

Yes

Are you happy with Integrate.io's feature set?

Yes

Did Integrate.io live up to sales and marketing promises?

Yes

Did implementation of Integrate.io go as expected?

Yes

Would you buy Integrate.io again?

Yes

It's well suited for E-commerce integration: Integrate.io can integrate data from various e-commerce platforms like Shopify, Magento, WooCommerce, and more. It allows businesses to automate their order processing, inventory management, and customer data syncing, making it an ideal solution for businesses operating in the e-commerce space. It's less appropriate for small-scale integration: If a business has a small number of data sources to integrate, it may not require the full suite of features offered by Integrate.io. In such scenarios, businesses can opt for simpler integration solutions that may be more cost-effective.

Integrate.io Feature Ratings

Connect to traditional data sources
9
Connecto to Big Data and NoSQL
8
Simple transformations
9
Complex transformations
8
Data model creation
9
Metadata management
9
Business rules and workflow
9
Collaboration
8
Testing and debugging
9
Integration with data quality tools
Not Rated
Integration with MDM tools
Not Rated

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