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Apache Pinot vs. Clickhouse for Real-Time Analytics

Engineering teams at leading tech companies are moving high-volume real-time analytics workloads from Clickhouse to Apache Pinot. StarTree helps them succeed.
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StarTree vs ClickHouse

High QPS, low latency...  at scale!

Apache Pinot and ClickHouse share many architectural similarities, but it is with scalability where their differences are most apparent.

Apache Pinot is designed to support very high queries per second (QPS) with low latencies. Pinot is often able to deliver single digit millisecond or submillisecond results — even on more complex queries, even against massive datasets, even while rapidly ingesting data — and while still maintaining high query concurrency.

4x lower query latency at Cisco WebEx

Cisco Webex found Apache Pinot provided 4x lower query latency than ClickHouse, especially at higher concurrencies. (Lower results are better.)

Cisco Webex was able to drive 40% more queries per second (QPS), providing higher throughput on the same infrastructure.

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YouGov performance benchmark comparing Apache Pinot and ClickHouse

Pinot wins at YouGov

YouGov tried various databases to meet their needs for fast analytics. This found a clear advantage of using a real-time Online Analytical Processing (OLAP) database compared to traditional Online Transactional Processing (OTLP) databases like PostgreSQL (SQL) or Cassandra (NoSQL).

Even amongst real-time OLAP databases Apache Pinot handily out-performed Apache Druid and Clickhouse. YouGov found Pinot to be up to 7x faster than ClickHouse. (Lower results are better.)

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More reasons to choose Apache Pinot on StarTree Cloud over ClickHouse Cloud

  • Scalable UpsertsStarTree does upserts right. Done at ingestion time, not query time. Scalable. Performant. Full row, partial (per column), and soft deletes. More
  • Fast & Flexible IndexingLeverage multiple indexing options, including the star-tree index for fast and efficient query results.More
  • Low-Latency Aggregations at ScaleMaintain performant aggregations against petabytes of data, with latencies measured in milliseconds.More
  • Better Tiered StorageGet results in seconds with tiered storage designed for fast analytics. Query data within milliseconds of ingestion to ensure results are accurate and up to date.More
  • Scalable JoinsSupports performant distributed query-time JOINs across data with a multi-stage query engine.More
  • Multi-Tenancy DesignIsolate tables to only the users that need access to critical data.More
  • Data ManagementStarTree includes tools to help onboard data easily, plus manage data backfills and schema changes.More
  • Anomaly DetectionStarTree ThirdEye provides anomaly detection and root-cause analysis for real-time data fluctuations. More

A database ideal for real-time analytics – 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.

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