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StarTree, the cloud-based real-time analytics company, today announced a set of new features designed to equip organizations to efficiently handle evolving data structures, enhance query performance, and streamline user access management, ensuring faster and more reliable real-time analytics at scale.
As organizations shift towards real-time analytics, they face the dual challenge of adapting to an environment where everything is expected instantly and at an unprecedented scale. The rapid evolution of table sizes, the growing number of tables, and soaring ingestion and query rates amplify the complexity of managing dynamic data structures. Apache Pinot demonstrates exceptional scale, powering real-time workloads at LinkedIn with upwards of 650,000 queries per second, Stripe managing approximately 1 PB of data, and Uber achieving a 99th percentile query latency of just 100 milliseconds. Unlike batch systems, which benefit from stable, periodic data loads, real-time analytics requires solutions that maintain performance, security, and reliability amidst ever-changing conditions and at unprecedented scale.
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Changes in streaming pipelines—such as schema shifts or data gaps—require immediate resolution, and optimized queries are essential for sustaining throughput and responsiveness in customer-facing applications. StarTree Cloud’s new capabilities address these unique needs, enabling organizations to manage real-time data efficiently while maintaining stringent performance and security standards.
Kishore Gopalakrishna, co-founder and CEO, StarTree, said, “StarTree’s new features bridge a crucial gap in real-time analytics, enabling organizations to scale with the reliability and control typically seen in batch systems. By tackling critical challenges in data management and security, StarTree helps organizations better leverage real-time insights, enhancing their ability to scale operations efficiently.”
All of these capabilities are available in private preview in Q4 2024 for StarTree Cloud customers and prospects with GA in Q1 of 2025.
