Industries powered by
Apache Druid and key use cases

Apache Druid powers analytics in industries where real-time performance, scalability, and flexibility are mission-critical.

From observability to marketing analytics, leading global organizations rely on Druid for sub-second insights across trillions of events.

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Which industries use Apache Druid?

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Technology & SaaS

Delivering real-time observability and high-concurrency, customer-facing analytics for platform and SaaS teams at scale.

Typical use cases:
  • Platform observability.
  • Embedded analytics.
  • Natural language queries on event data.
  • Hybrid batch/stream integration.
  • Netflix — Ingests 2M+ events/sec and queries trillions of rows in milliseconds; performs A/B tests on parallel clusters for optimization.
  • Salesforce — Traces ~300M spans in real time with Druid, Flink, Grafana & Superset.
  • Atlassian — Serves millions of daily queries for Confluence; powers embedded analytics for customers.
  • Strivr — Tracks immersive VR training sessions using inline Druid datasources.
  • Apple / Databricks — Integrates Iceberg and Delta Lake tables for ultra-fast hybrid analytics.
  • Confluent — Provides operational visibility into Confluent Cloud via Kafka + Druid.
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Retail & E-Commerce

Enabling real-time retail decisions by unifying storefront, logistics, and customer data into live, actionable dashboards.

Typical use cases:
  • Clickstream and sales analytics.
  • Merchandising optimization.
  • Operational dashboards.
  • Real-time inventory tracking.
  • Retailcloud — Real-time analytics across millions of stadium transactions (NBA/NFL/PGA).
  • Poshmark — Platform health and user behavior analytics in real time.
  • Target — Powers 70K users / 4M+ queries per day with sub-second analytics across retail operations.
  • Allegro (Poland) — Uses Druid since 2016 for clickstream analytics and anomaly detection across billions of events.
  • Walmart / Alibaba / eBay / Airbnb — Use Druid for interactive retail BI at enterprise scale.
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Advertising & Media

Delivering engagement-speed campaign insights with live analytics, audience forecasts, and real-time segmentation.

Typical use cases:
  • Real-time campaign monitoring.
  • Attribution modeling.
  • Engagement dashboards.
  • Ad forecasting.
  • Reddit — Forecasts advertiser audiences in real time via Druid pipelines.
  • Amobee — Migrated from multi-level aggregates to Druid for scalable, live campaign analytics.
  • Adikteev — Real-time dashboards for mobile re-engagement, replacing stale pre-aggregations.
  • AdsWizz — Powers low-latency dashboards for digital audio advertising.
  • Blueshift — AI-driven cohort and campaign analytics on multi-tenant Druid clusters.
  • Atlassian (Customer Analytics) — Offers Druid-powered dashboards for SaaS customers.
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Gaming & Social Platforms

Powering real-time behavior insights, fraud detection, and telemetry for the world’s largest gaming and social communities.

Typical use cases:
  • Player behavior analytics.
  • Fraud detection.
  • Creator metrics.
  • Real-time engagement telemetry.
  • Roblox — Analyzes 10M+ game experiences using Druid’s approximation techniques for scalable analytics.
  • PlayGames24x7 — Performs real-time fraud detection and risk scoring at high concurrency.
  • Reddit — Uses Druid for community engagement and ad analytics.
  • Wikimedia Foundation, Pinterest, Twitter — Leverage Druid for large-scale user analytics.
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Financial Services

Delivering real-time transparency, compliance, and risk analytics, powering transaction monitoring, usage-based billing, and regulatory dashboards.

Typical use cases:
  • Transactional behavior analytics.
  • Pricing and billing.
  • Fraud scoring.
  • Compliance monitoring.
  • Wave Money — Monitors financial workflows and transaction journeys live.
  • PayPal (Unconfirmed) — Known to use Druid for large-scale transactional analytics.
  • Apple — Uses Druid with Iceberg/Delta Lake ingestion for sub-second OLAP on hybrid data.
  • Orb — Scales usage-based billing analytics through Druid’s time-series aggregation engine.
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Telecom & IoT

Turning massive telemetry streams into instant intelligence, helping providers analyze device signals and spot network issues in real time.

Typical use cases:
  • Device telemetry.
  • Network observability.
  • Time-series monitoring.
  • Alerting.
  • Anomaly detection.
  • Cisco ThousandEyes — Achieved 10× latency reduction in dashboards after adopting Druid.
  • AppDynamics — Built a scalable observability platform for distributed systems using Druid.
  • Autonomic (Ford) — Processes real-time telemetry data in the Transportation Mobility Cloud.
  • Avesta Technologies — Real-time Industrial IoT analytics improving performance and resilience.
  • Kafka + Druid — Common architecture pattern powering millions of telemetry events per second.
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Security & Risk Analytics

Helping security teams detect threats and anomalies in real time, surfacing fraud and unusual patterns with sub-second latency.

Typical use cases:
  • Threat detection.
  • Anomaly monitoring.
  • Fraud scoring.
  • Event stream analysis.
  • Citrix — Uses Druid dashboards for real-time threat detection and attack prevention.
  • PlayGames24x7 — Extends fraud analytics to enterprise risk scoring.
  • Enterprise Risk Systems (Financial / Telco) — Employ Druid + Kafka for fraud detection and compliance pipelines.
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Lakehouse & Enterprise BI (Hybrid Batch + Stream)

Unifying lakehouse and streaming analytics, enabling sub-second OLAP on Iceberg, Delta, and object store data.

  • Apple / Databricks + Imply — Integrates Iceberg and Delta Lake into Druid for fast analytics across batch and stream data.
  • Target, Netflix, Atlassian — Use Druid as the backbone for real-time interactive BI.

Not Sure If Druid Fits Your Use Case? Let’s discuss it

Druid powers real-time analytics for leaders, including Netflix, Target, Reddit, Apple, Atlassian, and Salesforce — handling everything from observability to campaign forecasting and financial telemetry.

Our team can help you assess if Druid is right for your architecture — practical, expert guidance, no sales fluff.

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Top companies rely on Druid:

Attribution & Sources

This page consolidates publicly available, verifiable information from:

  • Apache Druid Summit presentations (2021-2024).
  • Imply.io and Apache Druid case studies and documentation.
  • Verified public technical blogs and references.
  • Public engineering talks and videos by organizations such as Netflix, Reddit, Atlassian, and Databricks.

All company names, trademarks, and service marks are the property of their respective owners.

Content is used for informational and educational purposes only and does not imply endorsement or affiliation.

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Contact information
Email:
druid@deep.bi
Phone:
+1 ‪(415) 966-1931‬
Click to reveal number