We're building the future of Apache Spark infrastructure. A platform where data engineers can focus on building pipelines, not managing Kubernetes clusters, debugging autoscaling, or firefighting production issues.
Infrastructure breaks. Nodes fail. Jobs crash. That's the reality of distributed systems. But it shouldn't be your problem anymore.
Orchestera automates the entire Spark cluster lifecycle on Kubernetes — from orchestration and autoscaling to Kubernetes upgrades, pipeline monitoring, and notebook provisioning. We handle the complexity so you can build and run Spark pipelines the modern way, without the operational burden.
Your infrastructure stays in your AWS account. Your costs are transparent. And your data pipelines become invincible.
We believe in pushing the boundaries of what's possible with data infrastructure. Our platform embodies years of production experience and cutting-edge technology.
We're developers ourselves. Every feature is designed to eliminate operational burden and let you focus on what matters: building great data products.
Built by engineers who've scaled systems at companies like OLX, PointClickCare, Faire, and Shopify. We understand the real-world challenges of data infrastructure.
No compute markup. Your infrastructure runs in your AWS account with transparent billing. We succeed when you succeed.
Our team has built and scaled data infrastructure at some of the world's leading technology companies. We've experienced firsthand the pain of managing Spark clusters, debugging autoscaling issues, and handling infrastructure failures at scale.
Orchestera is the platform we wished existed when we were in your shoes — a fully managed solution that just works, deployed in your own AWS account with no compute markup.
Join the data engineers who are building invincible data pipelines with Orchestera.
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