Description:
Realtime distributed OLAP datastore
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Type: Formula
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Tracked Since: Dec 28, 2025
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Links:
Homepage |
@ApachePinot |
formulae.brew.sh
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Category: Databases
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Tags:
olap
real-time
analytics
database
distributed
streaming
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Install:
brew install pinot
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About:
Apache Pinot is a real-time distributed OLAP datastore designed for low-latency analytics on high-throughput event streams. It enables users to execute SQL queries on massive datasets with sub-second response times, making it ideal for user-facing analytical applications. Its architecture supports direct ingestion from message queues like Kafka and provides horizontal scalability for large-scale data workloads.
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Key Features:
- Real-time ingestion from streams like Kafka and Kinesis
- Sub-second query latency with high concurrency
- Columnar storage format with advanced indexing
- SQL support with interactive query editor
- Horizontal scalability and fault tolerance
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Use Cases:
- User-facing analytics and dashboards requiring low-latency queries
- Operational monitoring and real-time metrics analysis
- Anomaly detection and fraud prevention systems
- Clickstream analysis and personalization engines
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Alternatives:
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Apache Druid
– Similar real-time OLAP capabilities, but Pinot offers better support for upserts and has a more flexible architecture for streaming ingestion
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ClickHouse
– Excellent columnar OLAP performance, though Pinot is more specialized for real-time streaming scenarios and user-facing applications
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Elasticsearch
– Primarily a search engine with analytics capabilities, while Pinot is purpose-built for OLAP queries at scale
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| Sep 25, 2025 2:38am |
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| Aug 21, 2024 11:21am |
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