A Platform Built
for Real-Time Speed
at Massive Scale
As the creators of Druid, we have built our ingestion, processing, and in-memory storage engine specifically for high dimensional advertising data.
No Maintenance, All the Benefits
Real‐Time Data Stream
Gain insights into events immediately after they occur. Unify access for your real-time and historical data at any time.
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Lightning Fast Queries
Our processing and storage engines provide sub-second data aggregation and the ability to query billions of rows of data. It is designed for multi-tenancy and to support real-time data navigation.
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Petabyte Scale
Our clusters have scaled to petabytes of data that store trillions of events, ingesting millions of events every second. You benefit from our scale, efficiency and speed of thousands of clusters.
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Secure By Design
With strict SSL encryption, secure storage environments, and a variety of other security layers your data remains safe and secure. All your data is backed up with at least one copy at any given time.
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Built on a cutting edge platform, processing billions of programmatic events daily
LEARN MORE ABOUT DRUIDAlways Included with Purchase
Data Cleansing
We provide recommendations on standard dimensions so that you continuously extract the most value from your data. This includes cleaning data sets to remove unnecessary records.
Maintenance
We troubleshoot and fix any noticeable breaks in incoming data streams while also continuously tuning your data pipelines to increase speed and effectiveness.
24/7 Monitoring
We keep a close eye on your data & all clusters to spot potential outages before wide spread issues occur. We are instantly alerted if it appears your data ingestion is broken.
Data Optimization
We work with you to make sure all incoming data is formatted correctly based on our standards to ensure you get the most out of the Metamarkets’ interactive analytics.
Even though there's an enormous amount of data processing behind the scenes, Metamarkets provides us a way to see things at an actionable level.
