Apache Pinot vs. Elastic for Real-Time Analytics
At StarTree, we work with world class engineering teams who are building some of the most sophisticated data-intensive systems. Many of them have been using Elasticsearch — a proven tool for search and log indexing — to handle query intensive use cases. But as data under management grows, and requirements expand, they run into difficulties when they try to use it for fast, or high concurrency aggregations and analytics.
That’s when they start looking at purpose-built real-time OLAP systems like Apache Pinot.
Companies like Uber, Cisco WebEx, and Uniqode have made the transition from Elasticsearch to Apache Pinot. The results are always impressive: faster queries, simpler pipelines, improved reliability, and dramatically lower infrastructure costs.
A database ideal for observability use-cases with real-time data – at speed and scale.
Apache Pinot is a real-time OLAP database built for ultra-fast analytics on high-volume data. It supports sub-second queries on billions of rows, even with high cardinality and concurrency — ideal for working with telemetry, logs, streaming business data and more.
StarTree Cloud delivers a fully managed Pinot experience with enterprise-grade security, automated scaling, and seamless integrations (Kafka, Flink, BI tools, etc.). It gives your team the power to build real-time dashboards, alerts, and APIs on live data — without compromising performance or reliability.
If you’re tracking fast-moving data and need millisecond-level insights at scale, Pinot + StarTree can help you move faster and operate smarter.
