Show HN: Peaka – Seamlessly access your SaaS tools and databases together (opens in new tab)

Hi HN! We’re very excited to showcase Peaka to the HN community. After building several startups, I noticed how much time, effort, and $$$ teams were investing in building and maintaining their data stacks. This inspired us to challenge the status quo and make your data accessible - especially for small teams.

With Peaka, you can aggregate all your data sources (SaaS tools, databases, APIs) in just a couple minutes. Peaka provides a single SQL interface to access your data, and YES, you can also even join data across different data sources. We believe we’ve created the most intuitive way of accessing your data sources.

Here’s how it works: Simply create a new project and add your first data source by just entering credentials or signing in (i.e. Hubspot), and you’ll see your data in tabular view instantly. Then, you can connect other sources like PostgreSQL, MongoDB, Stripe, or Google Analytics (and many more!) and integrate your favorite BI tool like Metabase, Superset, or Looker Studio.

Teams use Peaka as an alternative to ETL + Data Warehouse. Some teams use it as an embedded data management backend for their product to access their users’ data. Peaka is totally accessible via API, too.

Excited to hear your thoughts and feedback.

Here’s a quick video I just created for you. https://www.loom.com/share/ceb729acf7a14f4bb500b83e12695d5a This is a doc how to connect Peaka to Metabase. https://docs.peaka.com/bi-tools/metabase#metabase-on-premise...

We've been using it to connect multiple advertising sources, including Facebook, Google, and TikTok, with our ad publishing systems. The integration process is smooth and intuitive, making it easy to manage data from various channels. Additionally, the support for webhook services has streamlined our workflow by enabling efficient data synchronization between different services.

Great work on building such a versatile data integration platform!

It’s a very interesting idea. How does it perform compared to a regular data warehouse?