From AI pioneers to global financial platforms, innovators trust WarpStream to simplify streaming, reduce costs, and modernize their data infrastructure.
"The sort of stuff we put our WarpStream cluster through wasn't even an option with our previous solution. It kept crashing due to the scale of our data, specifically the amount of data we wanted to store. WarpStream just worked."
Jeffrey Ling
CTO, Goldsky
Cursor is building an AI-forward IDE that fuses human creativity with machine intelligence. At the heart of this transformation is WarpStream, making it possible to train models responsibly, deliver lightning-fast Tab completions, and scale telemetry without breaking engineering velocity.
"You don't have to worry about the relationship between storage and compute. It's just like, data go in, data go out. WarpStream is exactly the abstraction that you want out of Kafka. You pay somebody a small amount of money, you get to keep your data. It just scales up and you don't think about it. I think we've spent zero hours thinking about scaling WarpStream in the last few months. It's just like it's a solved problem.."
Character.AI replaced Pub/Sub with WarpStream and leveragedManaged Data Pipelines, allowing them to create a 3 GiB/s data pipeline with zero code and no extra infrastructure in their cloud. They also created a scalable, near-real-time analytics engine to reduce their analytics costs.
"Character.AI's journey in data management reflects our commitment to leveraging innovative technologies that enhance operational efficiency and reduce costs. By transitioning to WarpStream and adopting a real-time data approach, we have not only improved our data processing capabilities but also positioned ourselves to better serve our users."
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