
CUSTOMER STORIES
How TDAA Helps Companies Accelerate Innovation
TDAA develops innovative data tools like "Pancake," enabling companies to turn raw JSON into relational streams, leveraging Snowflake and AWS for seamless integration and AI-driven solutions

Industry
TechnologyLocation
Colorado Springs, COStory Highlights
- Data Transformation and Integration: Through "Pancake," TDAA focuses on turning raw JSON data into relational streams, making it easier to integrate and work with structured data across platforms like AWS and Snowflake.
- Cloud-Native Solutions: TDAA emphasizes building native applications within Snowflake and leveraging AWS integration. This cloud-native approach allows for greater scalability, performance, and ease of use for customers.
- Seamless Deployment and Ease of Use: A key focus is on delivering value quickly by enabling customers to set up Snowflake and Pancake within minutes, allowing for a lean, fast deployment that minimizes friction.
Video Transcript
My name is John Farr.
I'm one of the cofounders and CEO of TADA.
The name of our product is Pancake. What Pancake does is we scan and discover, then we allow for configuration so that you can then turn raw JSON into relational table streams. We're really focused on building data products that really help companies, accelerate innovation.
I'm Andrew Curran. I am one of the founders and the COO of TADA. Being the first company selected to be part of the Powered by Snowflake program has been really instrumental.
Being able to build a native app inside of Snowflake's environment, but especially because of the performance improvements that we built in, is really helping people understand the power and the capability of the Snowflake platform to be able to share with customers how they can tap into, the full capability of Snowflake, we're we're really excited about.
The primary benefit of the the AWS Snowflake relationship is is really about being able to deliver more value to more customers. And and the ease of use for AWS customers means that an AWS customer who has is struggling with the problem that Pancake solves, even if they're not currently a Snowflake customer, can get set up with Snowflake in minutes and then get set up with the app in minutes, and they don't even need to move their data out of AWS. They can use Pancake to connect with an external table directly to an s three bucket and start scanning. It allows us to stay lean and focus and commit more of our time and energy and resources to development and to put it where it where it matters the most.
With the announcement of, Quartix AI and and some of the document, the document functionality and so many other things that are available, I think what's gonna be really exciting is just to be able to work together with AWS and stuff, like, to really discover some of the customer problems out there that we can solve.
What's particularly exciting about the future of data applications in the cloud, especially with things like Cortex, where you can really integrate some of those AI features into those applications that people are using, it just means there's there's more flexibility. Customers have more choice. They have they're able to do more within whatever environment makes the most sense for them.
We're really excited to be able to work with AWS and and Snowflake in really this new era of enterprise AI. There's so many opportunities, to help customers to innovate.
RELATED CUSTOMER STORIES
Start your 30-DayFree Trial
Try Snowflake free for 30 days and experience the AI Data Cloud that helps eliminate the complexity, cost and constraints inherent with other solutions.