Superstream

Agnetic Data Engineering Platform

The problem

Engineering teams often lack the time, expertise, or tooling to optimize Kafka costs effectively. Cost reduction requires deep visibility into low-level internals, analyzing complex usage patterns over time, safely experimenting without risking data, accurately forecasting capacity needs, and building custom scripts — all of which demand a level of maturity and focus most teams can't afford amid competing priorities.

Introducing Superstream

Superstream AI Platform Helps Kafka Users Easily, Safely, and Automatically Improve Their Very Own Apache Kafka Cost Efficiency by up to 90%.

Common use cases:

• Reduce Kafka Usage Costs: Optimizing your cluster resources to align with your workload can cut costs by up to 80%.

• Increase Control: Enforce best practices and get valuable insights to ensure your Kafka runs at peak health.

• Avoid Migrating To A Different Kafka: Migration is often driven by cost or visibility—now, you can have both with your current vendor.

• Reduce Transfer Costs: By sampling your payload, Superstream can analyze and benchmark it to recommend ways to reduce the transfer footprint.