The Imply Blog

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Tag: analytics

Community Spotlight: SuperAwesome kid-safe internet advertising powered by Apache Druid

by Peter Marshall · in User stories · January 24, 2021

SuperAwesome’s mission is to “make the internet safer for kids”: a safe, effective, and entertaining place that is 100% “Kid Safe”, including an advertising system that protects the personal data of children.

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Eating our own dog food

by Itai Yaffe · in Industry · December 4, 2020

Recently, I joined Imply. I’ll further discuss this on a different post, but what really amazed me during these first few days, is how much this company and the team believe in eating our own dog food.

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Community Spotlight: Amobee leapfrogs advertising competitors with Apache Druid

by Peter Marshall · in User stories · December 2, 2020

Amobee provides end-to-end advertising campaign and portfolio management across TV, digital and social media for some of the world’s largest brands, from Pringles to Spotify.

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Community Spotlight: LiquidM powers real-time highly-targeted adtech with Apache Druid

by Matt Sarrel · in User stories · October 26, 2020

LiquidM provides modular cloud-based software that allows agencies and trading desks to run their adtech activities and campaigns on a customizable, standardized, open platform. LiquidM provides real time efficiency, control, and insights into media planning and buying.

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How Adikteev helps customers succeed using self-service analytics

by Margot Miller, Adikteev · Loic Anton, Adikteev · in User stories · August 20, 2020

Adikteev is the leading mobile app re-engagement platform for performance-driven marketers, and is consistently ranked in the top 5 of the Appsflyer Performance Index. This post discusses how we use Imply to react in real-time to live data from diverse sources to gain actionable insights, thereby improving customer mobile app engagement and making our customer success managers more productive.

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Hot analytics and the data warehouse deficit

by Matt Sarrel · Peter Kacandes · in Industry · July 15, 2020

One of the most important considerations when selecting an analytics platform is its suitability to conduct the required analyses over specific types of data within a given performance threshold. A helpful way to think about this is to utilize the concept of temperature-tiered analytics to align analytics needs with data architectures.

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A Reference Architecture for Real-Time IoT Analytics feat. Apache Druid

by Eric Graham · in Apache Druid · February 28, 2020

Analyzing the potential petabytes or more of data from all these devices goes way beyond existing data warehouses or data lakes. Fortunately companies have already implemented IoT analytics using Imply, the real-time intelligence platform built on Apache Druid, the leading open source real-time time analytics database.

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Why Vertica Customers Adopt Apache Druid for Real-Time Analytics

by Rob Meyer · in Industry · January 13, 2020

If you are a Vertica customer, you probably already know this. Vertica is not built for real-time operational analytics at scale. If you do not know Vertica very well, you might be surprised. This statement may seem controversial. It’s not. Nearly ¼ of Imply customers were existing Vertica customers who purchased Imply, a commercially supported version of Apache Druid, because they were trying to implement operational analytics and hit limitations with Vertica. Other Vertica customers also use open source Druid and self-support.

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How Nielsen Marketing Cloud Uses Druid for Audience and Marketing Performance Analysis

by Itai Yaffe · in User stories · November 21, 2019

Nielsen Marketing Cloud uses Druid to profile the various audiences that marketers and publishers would like to target on digital media, activate via various ad networks, and then gain insights on that activation after the fact.

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Blueshift: Scaling real-time campaign analytics with Apache Druid

by Anuraj Pandey, Blueshift · in User stories · August 8, 2019

Blueshift is an AI-powered customer data activation platform enabling CRM and product marketers to intelligently manage their audiences and orchestrate large-scale personalized messaging campaigns at scale. Blueshift offers real-time campaign analytics as a core capability in the platform. Campaign analytics break down engagement metrics like impressions, clicks, conversions etc by channel, trigger, experiment etc. Currently two billion+ user interactions are tracked on a monthly basis.

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Druid @ Zscaler - A Retrospective

by Subramanian Srinivasan, Zscaler · Kevin Fletcher, Zscaler · in User stories · July 8, 2019

This document outlines the journey Zscaler made in building Zscaler Private Access (ZPA) and focuses on the analytics component of our solution. We will discuss some of our early requirements, why we picked certain technologies, such as Druid/Imply, and how we run things today.

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Interactive Analytics at MoPub (Twitter): Using Druid and Imply to Query Terabytes of Data in Seconds

by Rick Bilodeau · in User stories · July 5, 2019

MoPub, a Twitter company, has just launched a new solution called MoPub Analytics based on Apache Druid and using Imply Pivot as the drag-and-drop UI. The solution allows users to determine the root cause of new data trends by interactively analyzing the data across many different time slices, dimensions, and metrics.

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Swimming in the Data River or: How We Got to Streaming Analytics

by Rachel Pedreschi · in Industry · April 16, 2019

Businesses need to understand how their metrics change across many facets of their operations, and this is the core idea behind data analytics.

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How WalkMe uses Druid and Imply Cloud to Analyze Clickstreams and User Behavior

by Yotam Spenser, WalkMe · in User stories · April 3, 2019

WalkMe uses Imply Cloud to monitor behavioral analytics for its leading Digital Adoption Platform.

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Why GameAnalytics migrated to Apache Druid, and then to Imply

by Ramón Lastres Guerrero, GameAnalytics · in User stories · February 14, 2019

At GameAnalytics, our user base has grown several times over in the past 12 months, and this growth has promoted us to rethink our user experience analytics system.

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Kappa architecture at NTT Com: Building a streaming analytics stack with Druid and Kafka

by Paolo Lucente, NTT · in User stories · January 8, 2019

One of the key activities at the heart of any internet backbone is flow analytics, which enables visibility into global traffic for many technical, economical, and security use cases. By providing real-time traffic visibility and rapid explanation capabilities for this data, we unlock tremendous business value for the whole organization.

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Kappa architecture at NTT Com: Building a streaming analytics stack with Druid and Kafka

by Paolo Lucente, NTT · in User stories · January 8, 2019

One of the key activities at the heart of any internet backbone is flow analytics, which enables visibility into global traffic for many technical, economical, and security use cases. By providing real-time traffic visibility and rapid explanation capabilities for this data, we unlock tremendous business value for the whole organization.

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Modernizing Rubicon Project’s Analytics Stack for Programmatic Advertising

by Ken Lin · in User stories · October 22, 2018

Rubicon Project, one of the world’s largest digital advertising exchanges, has modernized their analytics stack with Druid and Imply.

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Farewell Lambda Architectures: Exactly-Once Streaming Ingestion in Druid

by David Lim · in Industry · July 5, 2016

Today, many companies are turning to streaming solutions which are enabling them to understand and make business decisions from their data immediately, resulting in an operational agility that was unthinkable only a few years ago. The new Kafka indexing service is an exciting milestone in the maturity of Druid's ingestion technology, giving users a way to stream data into Druid with exactly-once correctness.

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Architecting Distributed Databases for Failure

by Fangjin Yang · in Industry · December 10, 2015

Everything is going to fail. If this is your first time working with or building out a distributed system, the fact that everything is going to fail may seem like an extremely scary concept, but it is one you will always have to keep in mind.

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A Tour Through the "Big Data" Zoo

by Fangjin Yang · in Industry · November 4, 2015

I recently read a great article by Jeffrey Heer, Michael Bostock, and Vadim Ogievetsky that showcases the various techniques for visualizing and interacting with diverse data sets. I thought it may be useful to write something similar to showcase the various open source systems that exist in the “big data” space, including Druid, which is an open source data store I work on.

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Announcing Imply: An Enterprise Solution for Druid and Interactive Analytics at Scale

by Fangjin Yang · in Industry · October 19, 2015

Today, Gian Merlino, Vadim Ogievetsky, and I are extremely excited to announce Imply, a company for interactive analytics at scale, centered around the Druid open source data store. We first began working on Druid at a startup called Metamarkets, and over the last few years, we’ve been proud to watch the project grow and take on a life of its own.

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