Introducing the Druid Architecture Guide
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          To meet critical requirements, the Confluence Analytics Experience Team chose to deploy Imply Enterprise Hybrid, a complete, real-time database built from Apache Druid® that runs in Atlassian’s VPC with Imply’s management control plane.

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        • K2D (Kafka to Druid) Stack for Real-Time Analytics Applications

          A stack for real-time analytics applications.

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          A stack for real-time analytics applications.

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Success Stories

All Success Stories Apache Druid Stories Imply Stories
Human-customer-success
HUMAN Expedites Bot Detection and Investigation by 10x

HUMAN needed a database and visualization layer which can ingest and visualize the data at a massive scale without being cost-prohibitive. Another key requirement was to use a solution that did not require analysts to write complex SQL queries.

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Ippen Digital Gets Lightning Fast and Robust with Imply

Because Ippen Digital moves a lot of data along with the traffic they handle and with the data points they wanted to aggregate, they needed an engine that was way more capable than most of the other vendors.

Read the Customer Story

Apache Druid in 5 minutes
Apache Druid in 5 minutes

Apache Druid is a real-time analytics database used by 1000s of companies like Netflix, Confluent, Salesforce, and Target. But what's the big deal? Why use Druid instead of a data warehouse - like Snowflake, BigQuery, or Redshift - or an operational database like PostgreSQL or MongoDB? What makes Druid special?

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Video embedding polaris visualizations demo
Embedding Polaris Visualizations Demo

Set up an embedded visualization solution in under 5 minutes. This short demo highlights the steps needed to build a highly customized application.

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Speeding Up Clickstream Data Analytics at Danggeun Market Using Druid

Danggeun market is an online marketplace in Korea focussed on used goods sales in the neighbourhood. This session will detail out how Daangn uses druid to speed up clickstream data analytics. Realtime data is ingested into druid from kafka. The ingested data is queried in druid using the ability to query a nested column in druid. The session will wrap-up looking at some performance numbers and dashboards and discussing future direction including merging topics using kstream.

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Easy onboard with Polaris

Case study to share my experience how easy is to setup a working Analytics DB by using Imply Polaris. Leverage the batch ingestion APIs using python, using Apache airflow scheduler. How we leveraging Theta sketches for unique property listing calculation. Overall experience with Polaris while I've built this PoC to fulfill our Self Serve Analytics needs.

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Percentiles at Scale

At Netflix, our engineers often need to see metrics as distributions to get a full picture of how our users are experiencing playback.

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Powering Clickstream Analytics at TrueCar with Druid

Come learn about the way that TrueCar uses Druid as the engine to optimize the buying experience through clickstream analytics.

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Keynote: Analytics Meets Applications

How do developers at Netflix, Confluent, and Reddit do more with analytics? They joined a community of like-minded people who bring analytics to applications to power a new generation of operational workflows. We’ll dive into the use cases and applications built with Apache Druid.

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Druid SQL for Queries – from an Overview to Tips and Tricks

SQL is a powerful and elegant query language for databases. Druid is increasingly supporting and moving forward with SQL, which is arguably easier to learn and write than the original native (JSON) query language. This talk will discuss the Druid implementation of SQL, focusing on querying data. How does it work? What parts of SQL are and aren't supported? What are some gotchas, and tips and tricks, for people new to it? We'll focus on querying data. We'll also briefly discuss the new multi-stage query engine and SQL syntax for ingesting or transforming data, but the main focus will be on writing good, efficient queries.

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How VMware uses Druid for Network & Security Analytics

VMware NSX Intelligence is a distributed analytics platform powered by Druid that can process and visualize network traffic flows, detect anomalous network behaviors, and recommend security policies. We will introduce our data pipeline (Kafka, Spark, Druid), how we ingest and store data with Druid, how we perform different kind of queries to achieve our use cases, and our learnings in the past 3 years.

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