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🔧 Apache Pinot

Apache Pinot

Realtime distributed OLAP datastore.

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Overview

Apache Pinot is a real-time distributed OLAP datastore, which is used to deliver scalable real-time analytics with low latency. It can ingest data from batch data sources as well as streaming data sources.

✨ Key Features

  • Real-time and batch data ingestion
  • Low-latency queries
  • Columnar storage with advanced indexing
  • Horizontally scalable
  • Pluggable architecture

🎯 Key Differentiators

  • Advanced indexing for low-latency queries
  • Ability to handle both real-time and batch data
  • Scalability

Unique Value: Delivers ultra-low-latency analytical queries on large, real-time datasets, making it ideal for demanding user-facing applications.

🎯 Use Cases (4)

User-facing real-time analytics Anomaly detection Ad-hoc data exploration Dashboards and business intelligence

✅ Best For

  • Powering large-scale, user-facing analytics applications at companies like LinkedIn and Uber.

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • OLTP workloads or use cases that require full SQL support for complex joins.

🏆 Alternatives

Apache Druid ClickHouse Elasticsearch

Offers more advanced indexing capabilities compared to some other real-time analytics databases, which can lead to better performance for certain query patterns.

💻 Platforms

API Desktop

🔌 Integrations

Apache Kafka Amazon S3 HDFS Presto Superset

🛟 Support Options

  • ✓ Live Chat
  • ✓ Dedicated Support (Enterprise (via vendors like StarTree) tier)

💰 Pricing

Contact for pricing
Free Tier Available

Free tier: Open source and free to use.

Visit Apache Pinot Website →

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