Kafka was built for 2011 data centers, where cross-machine networking was free and local disks were cheap. Cloud flipped both assumptions.
Traditional Kafka clusters write data to local SSDs on each broker, then replicate that data to follower brokers sitting in different availability zones. This made perfect sense when LinkedIn designed Kafka for their own data centers.
Cloud environments are a different story. That cross-zone replication racks up massive networking bills. At scale, 70–90% of a Kafka cluster’s infrastructure cost is just moving bytes between availability zones.
Diskless Kafka skips all of that. Instead of writing to local disks, data goes directly into cloud object storage (S3, GCS, Azure Blob Storage). The compute layer becomes fully stateless. No disks to manage, no partitions to rebalance, no brokers to babysit. The object store handles durability and replication behind the scenes.
The result: a system that costs a fraction of what Kafka costs, runs with near-zero operational overhead, and scales without limits.
Stateless agents replace Kafka brokers. Every agent can serve every partition. There are no leaders, no followers, no rebalancing.
Zero-ops streaming for AI telemetry and model pipelines. Cursor needed real-time data for their AI-powered IDE without running additional infrastructure. WarpStream gave them Kafka-compatibility, full data ownership in S3, and no ops overhead.
Cut TCO by 90% while scaling to 100 PiB+. Goldsky’s Kafka clusters couldn’t handle tens of thousands of partitions or petabyte-scale data. With WarpStream, they moved to object storage, eliminated broker crashes, and cut total cost of ownership by over 10×.
By switching from Kafka to WarpStream for their logging workloads, Robinhood saved 45%. WarpStream auto-scaling always keeps clusters right-sized, and features like Agent Groups eliminate issues like noisy neighbors and complex networking like PrivateLink and VPC peering.
7.5 GiB/s fan-out with no inter-AZ fees. Grafana’s metrics backend ran into multi-AZ replication costs and bottlenecks. WarpStream’s diskless architecture decoupled write/read paths, letting them stream at multi-GiB throughput with zero cross-AZ fees.
WarpStream runs in your environment with a single command. Deploy the lightweight Agent in your cloud, point it at your bucket, and connect your Kafka clients — no broker setup, no tuning, no replication pain.
Whether your Kafka source is self-hosted Kafka or a cloud provider, copy your data 1:1 to transition to WarpStream quickly and easily.
Get up to a 10× TCO reduction while scaling to tens of petabytes in object storage and managing thousands of partitions.
SOC 2 Type II certified, backed by Confluent, and running in production at companies with hyper-scale demands.