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🔧 Apache Druid

Apache Druid

A high performance, real-time analytics database.

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Overview

Apache Druid is a high performance, real-time analytics database that is designed for workflows where fast ad-hoc queries, instant data visibility, and high concurrency are important. Druid is often used to power user-facing analytics applications.

✨ Key Features

  • Real-time data ingestion
  • Sub-second query response
  • High concurrency
  • Column-oriented storage
  • Time-based partitioning

🎯 Key Differentiators

  • Real-time data ingestion and querying
  • High concurrency for user-facing applications
  • Time-optimized partitioning

Unique Value: Enables sub-second analytical queries on large, real-time datasets, making it ideal for interactive, user-facing analytics.

🎯 Use Cases (4)

User-facing analytics applications Real-time dashboards Clickstream analytics Network monitoring

✅ Best For

  • Powering interactive analytics dashboards for large-scale applications.

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • OLTP workloads or use cases that require frequent updates to data.

🏆 Alternatives

ClickHouse Apache Pinot Elasticsearch

Designed for high concurrency and real-time ingestion, which can be a better fit for user-facing applications than some other OLAP databases.

💻 Platforms

API Desktop

🔌 Integrations

Apache Kafka Amazon Kinesis HDFS Looker Tableau Superset

🛟 Support Options

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

💰 Pricing

Contact for pricing
Free Tier Available

Free tier: Open source and free to use.

Visit Apache Druid Website →

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