Portable vs. Stitch: Data Comparison + Top Use Cases

Ethan
CEO, Portable

Should you use Portable or Stitch to support your data integration strategy?

Here are the main things to consider:

Customer support

  • As a data analyst, you shouldn't spend your time navigating open source documentation, or a Slack community, to figure out why a connector broke.

  • No-code connectors are only valuable if they actually involve no code (for both development and maintenance).

  • While we love open source software, we love great client experiences even more. You can chat with our team from within our application, email us directly, and get in touch with technical experts that understand your needs.

Long-tail ETL connectors

  • Portable builds and maintains no-code connectors for our clients.

  • If we're missing an application you need, we're excited to get data flowing, and we don't believe it's your job to read the API documentation, or navigate an open source framework.

  • We've been in your shoes (I used to run Business Intelligence at LiveRamp, NYSE: RAMP), and want to save you time, not bog you down with scripts, and documentation.

We build custom ETL connectors (so you don't have to)

  • Stitch Data has a directory of out-of-the-box connectors and they've prioritized the same systems as every other ELT vendor.

  • When you need to dive deep into a business problem (customer churn, employee retention, etc.), you need data from bespoke business applications.

  • That's where Portable shines. As the data ecosystem moves towards operational analytics, the only way to truly operationalize your data warehouse is to have all of your business applications connected, not just your product database and Customer Relationship Management (CRM) platform.

Innovation & urgency

  • Stitch was acquired by Talend. Unfortunately, after an acquisition, the reality is you lose the fire to innovate, and organizational hurdles delay new product development.

  • At Portable, we are just getting started. We're hungry to build value and help you architect a data stack for operational & analytical use cases.

  • We believe in a connected future and are on a mission to help you get there as quickly as possible.