Apache Druid Development
Services

Build stable and comprehensive Apache Druid based solutions
applying decades of our development expertise.

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DESCRIPTION
Conception of Druid

Apache Druid is an open-source analytic data store generally used for fast queries at scale. Apache Druid is a good pick when your project implies Big Data development or has scale requirements. It also provides support for ingesting massive amounts of data via batching and streaming. Thus, Apache Druid works perfectly with such streaming systems as Apache Kafka or Amazon Kinesis and such batch systems as its standard batch technology or Apache Hadoop. Apache Druid is mostly used to analyze high volumes of real-time and historical data. Many large technological companies use Apache Druid in their projects, such as Alibaba, Wikimedia Foundation, Cisco, Yahoo, and others.

OUR DRUID SERVICES
Choose Your Druid Based Project
Clickstream Analytics (Mobile and Web)
Ads Analysis
Server Metrics Analysis and Storage
Network Performance Analysis
OUR DRUID STACK
Tech We Apply
Applying our years of experience in Apache Druid, we have selected the most suitable
supplementing technologies to make your project development smooth and seamless
STORAGES
SERVICES
AWS S3,
HDFS
DATABASES
MySQL, Derby, PostgreSQL
STREAMING SYSTEMS
Apache Kafka,
AWS Kinesis,
Apache Samza,
Apache Storm
CASE STUDIES
Our Work Speaks for Itself

Adoppler was a system comprising DSP, SSP, and Ad Exchange that allowed all market parties to transact directly.

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Powering up a unique independent marketplace to automate the entire advertising ecosystem across all inventory.

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A system to optimize the entire ad serving system that allowed for collecting, processing, and reporting on, billions of transactions every month.

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The Mail Marketing Platform was an automatic system created for niche digital-to-direct sphere operations.

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An RTB platform with a particular layer for preprocessing data to be used in subsequent OLAP cube preparation.

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A solution designed to reconsider the client’s existing system and to improve data storage and processing.

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