Resources
Keynote: Powering Event-Driven Data with Apache Druid
The distinction between OLTP and OLAP is becoming less relevant as data architectures shift toward entities and events...
Watch NowClosing Keynote: Charting the Future of Druid
What lies ahead for Apache Druid? Join us as we explore the evolving landscape of Druid’s query and storage engines, and how they are positioned to address the biggest challenges in event data for the future...
Watch NowSalesforce: Tracing Service Dependencies at Scale with Druid and Flink
At Salesforce, we manage approximately 300 million distributed spans to infer service dependencies. We have successfully utilized a combination of Druid and Flink to handle this scale with high availability...
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Transforming Stadium Merchandising with Retailcloud: Harnessing Imply for Real-Time Analytics
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Optimizing Druid Configurations at Netflix through Parallel Testing and Metrics Analysis
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Federated Queries, Separation of Compute and Storage, and Real-Time Analytics — All from Imply Polaris
Read moreAPIs, Analytics, and Apache Druid: How Kong Delivers API Observability and Insights with Hiroshi Fukada
Read moreApache Druid News! Druid 30.0 is Live and Druid Summit 2024 Announced with Hugh Evans and Will Xu
Read moreInsights and Airwaves: How Global Delivers Ad Data Freshness with Apache Druid with Miguel Rodrigues
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Announcing Imply Polaris on Microsoft Azure: Elevating Real-Time Analytics for Developers
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Community Spotlight: Using Netflix’s Spectator Histogram and Kong’s DDSketch in Apache Druid for Advanced Statistical Analysis
Read moreHow Finix is Leaning Into Real-Time data with Apache Druid and Imply Polaris with Ross Morrow
Read moreSecuring the “Crown Jewels”: A Journey through Druid Database Security with Carrell Jackson
Read moreInside Apache Druid 29.0: Getting up to Speed on Druid’s Performance, Ecosystem, and SQL Compliance with Sergio Ferragut
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Smart Devices, Intelligent Insights: How Rivian and Thing-it use Apache Druid for IoT Analytics
Read moreA Year in Review: Apache Druid in 2023 with Peter Marshall
Read moreWebinar
Physical Hardware, Digital Analytics: IoT Challenges, Best Practices, and Solutions
Watch nowFrom ANSI SQL Support to Multi-topic Kafka Ingestion: What’s New in Druid 28 with Will Xu
Read moreDruid and Joins Debunked! with Sergio Ferragut and Hellmar Becker
Read moreReal-Time Data Architecture Patterns
Read moreArchitecting Customer-Facing Analytics Applications
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Data Products at Scale: How Atlassian’s Big Data Platform Team Delivers Insights and More with Apache Druid
Watch nowScaling with Speed: How Atlassian’s Confluence Big Data Platform Team Delivers Customer-Facing Insights with Apache Druid with Gautam Jethwani and Kasirajan Selladurai Selvakumari
Read moreFraud Fighters: How Apache Druid and Imply help Ibotta combat fraud with faster anomaly detection with Jaylyn Stoesz
Read moreAll things Apache Druid 27.0: From deep storage queries to new visualization with Will Xu
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Apache Kafka, Flink, and Druid: Open Source Essentials for Real-Time Data Applications
Read moreOrb and Apache Druid: Building customer trust through data correctness with Kshitij Grover
Read moreConfluent, Kafka, Druid, and Flink: The Future of Streaming Data with Kai Waehner
Listen NowDriving Innovation with Open Standards: How Voltron Data is Shaping the Data Ecosystem with Apache Arrow and Ibis with Josh Patterson
Read moreA Data Team’s Guide to Real-time Analytics for Apache Kafka®
Read moreIoT Sensor and Telemetry Data Analysis with Apache Druid
Read moreHow Apache Druid Revolutionized Digital Turbine’s Analytics Infrastructure with Lioz Nudel and Alon Edelman
Read moreDecoding Emotions: Leveraging ChatGPT and Apache Druid for Sentiment Analysis
Read moreDruid Operator: Simplifying the management of Apache Druid in Kubernetes
Read moreDruid Architecture and Concepts
Read moreApache Druid 26.0: Breaking Down Druid’s Latest Release
Read moreThe Dynamic Duo: Apache Druid and Kubernetes
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Real-time Analytics Database uses partitioning and pruning to achieve its legendary performance
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Building an Event Analytics Pipeline with Confluent Cloud and Imply’s real time DBaaS, Polaris
Read moreO’Reilly Report: Building Real-time Analytics Applications
Read moreConduct your own Proof of Concept with Apache Druid
Read moreConduct your own Proof of Concept with Imply Polaris DBaaS
Read moreVideo
User Activity Analytics in Digital Publishing Domain: Success Story by Indian Express
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Why & How We Built An Open-Source Spark Druid Connector – Spark Druid Segment Reader
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Introducing KUDRAS – Kubernetes Druid Autoscaler for Maximum Resource Utilization and Speed
Read moreDocumenting Apache Druid Experiments
Read moreThe World of Operational Visibility
Read moreSpeed, Scale and Streaming: Building Analytics Applications
Read moreEverything You Need to Know About SQL-Based Ingestion in Apache Druid
Read moreAccurate, Validated, and Real Time: Diving into Reddit’s Druid-powered Ad Platform
Read moreThe Tale of Two Vehicles: Apache Druid’s New Shape Takes Form
Read moreWho Really Needs Real-Time Data?
Read moreTales at Scale Podcast: Who Really Needs Real-Time Data?
Read moreWhy Apache Druid is Not Like Other OLAP Databases
Read moreA Decade of Druid
Read moreHow Paytm saved 50% on their Apache Druid infrastructure with Imply
Read moreSuccess Story
How Paytm analyzes petabytes of data in real-time using Apache Druid with Imply
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For April 1st: a New Description of Apache Druid from Our Youngest Technical Architect
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Product Update: SSO, Cluster level authorization, OAuth 2.0 and more security features
Read moreApache Druid Story
Cisco ThousandEyes Presents: Reducing Dashboard Latency by 10x with Apache Druid
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