Orchestera is a fully managed Apache Spark platform that runs in your AWS account. We automate the entire cluster lifecycle so you can focus on building data pipelines, not managing infrastructure.
We handle all aspects of Spark cluster management - from provisioning and scaling to monitoring and upgrades. You focus on building data pipelines, not managing infrastructure.
Your Spark clusters deploy directly in your AWS account. Your data never leaves your infrastructure. You maintain complete control and compliance.
AWS costs are billed directly to your account at standard AWS rates. We charge only for platform access - no hidden fees or compute markups.
Built-in fault tolerance, automatic failure recovery, and self-healing infrastructure. Your pipelines stay running even when nodes fail.
Write Spark jobs in Python, Scala, or Java using our SDKs. Deploy with a single command. Iterate quickly with integrated Jupyter notebooks.
Real-time monitoring, job metrics, and pipeline insights out of the box. See exactly what's happening in your clusters without hunting through logs.
Managing Spark on Kubernetes is complex. You need expertise in Kubernetes, Spark configuration, autoscaling policies, monitoring, and disaster recovery. Most teams spend months setting up infrastructure before they can focus on data pipelines.
Orchestera eliminates this complexity. We've spent years building and scaling Spark infrastructure at companies like OLX, PointClickCare, Faire, and Shopify. That experience is built into our platform, so you get production-grade infrastructure from day one.
Your infrastructure stays in your AWS account. You pay AWS directly at standard rates. We charge only for platform access - no compute markup, no hidden fees. Full transparency, full control.
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