Autoscaling Minions
Save on cloud infrastructure costs
Leverage the elasticity of the cloud via Minion Autoscaling to help optimize your cloud spend. Ensure tasks are processed efficiently and eliminate the legwork of repartitioning data post-ingestion and merging smaller segments into larger ones.
Automate scaling for faster, more cost-effective processing
Eliminate unnecessary infrastructure costs during idle times
Trust that your data is always fresh
Immediately query your data
Faster ingestion, at a fraction of the cost
Unlock timely and accurate insights from your data in motion and power your real-time analytics application.
Data Manager
StarTree Data Manager provides a click-through module through which the user can point to an ingestion source of their choice (batch or real-time), do schema modeling, configure indexes and boom! — onboard your dataset in a matter of minutes.
Minion FileIngestionTask
Simplify your tech stack by bringing batch ingestion in-house in Apache Pinot and eliminating that external dependency on having to write external jobs (in Apache Spark or Java). StarTree’s Minion FileIngestionTask is designed to ingest data from batch data sources such as cloud object stores (Amazon S3, GCS, and Azure Blob Store) into Apache Pinot.
Cost-Effective Autoscaling
StarTree Cloud dynamically adjusts the number of minion instances based on real-time metrics like CPU usage, memory consumption, and workload demand. Minion Autoscaling integrates with the cluster management framework, allowing for seamless coordination between the autoscaler and other components of the Pinot cluster.
Grafana Dashboards
Every StarTree Cloud deployment comes with Grafana dashboards for all Pinot components. These Grafana dashboards allow users to monitor CPU utilization on Pinot minions.
“StarTree Cloud made it easy to get started with Pinot and real-time applications. We were able to ingest batch data and use real-time apps to significantly reduce Mean Time To Detect and Mean Time To Respond for key business metrics. From the open source phase to getting clusters ready for production, StarTree provided fast responses and solved user problems.”
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The most powerful real-time analytics platform
Simplified tiered storage
Powerful, flexible indexing
Multi-stage query engine
Scalable real-time upserts
