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Apache Pinot vs. Apache Druid for Real-Time Analytics

Engineering teams at leading tech companies are moving log and analytics workloads from Druid to Apache Pinot. StarTree helps them succeed.

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6 Reasons to choose Apache Pinot over Druid

High concurrency (QPS)

Unlock your data for internal & external users by supporting extremely high query per second (100,000+ QPS)

Low-Latency Aggregations at Scale

Maintain performant aggregations against petabytes of data, with latencies measured in milliseconds.

Fast & Flexible Indexing

Leverage multiple indexing options, including the star-tree index for fast and efficient query results

Support for Upserts

Query data within milliseconds of ingestion to ensure results are accurate and up to date.

Query time joins

Support distributed query-time JOINs across data with a multi-stage query engine.

Better Tiered Storage Solution

Get results in seconds, not minutes with tiered storage designed for fast analytics.Query data within milliseconds of ingestion to ensure results are accurate and up to date.

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.

Financial data is real-time in nature. We use Apache Pinot to empower our users with fast, accurate, and fresh data about their financial transactions.

Lakshmi Rao

Software Engineer

Comparisons from the field

Performance results and relative improvements depend on many factors. Yet over and over users have cited that Apache Pinot can perform the same queries as Apache Druid in a fraction of the time.

YouGov

5x-7x faster with Pinot

Confluera

2x-4x faster with Pinot

Zomato

2x faster with Pinot

Apache Pinot handles the deficiencies found in Apache Druid.

When given multiple queries to handle simultaneously Druid rapidly sees query responsiveness rise to 10 seconds or even more — making it unsuitable for many real-time use cases such as web or mobile applications that require blink-of-an-eye responsiveness for user bases measured in the millions of data consumers. Apache Pinot can provide latencies measured in milliseconds, even at 1000 QPS or more.

In a benchmark published by Confluera, Apache Druid often exhibited latencies as high as 2 to 4 seconds or more, whereas Apache Pinot ran the same queries in a single second. Even in cases where Apache Druid latencies were subsecond, Apache Pinot latencies were lower — at times up to an order of magnitude faster. Read More

Outperforming all other Real-time DBs at YouGov

YouGov tried various databases to meet their needs for fast analytics. This shows the 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. (Lower results are better.) Read More

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Real-time analytics at scale

Leading organizations like Uber and Stripe are harnessing real-time insights to efficiently power customer-facing data products. This comprehensive report details how they do it.