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Feature: Geo-Distributed Data

Kroger

Kroger

At a glance

As the largest supermarket in the US and a top 5 retailer world-wide, Kroger knows all about the challenges of modern retail.

Kroger’s existing solution stack runs in on-premises computing and monolithic apps not designed for rapid change and evolution.

By embracing a modern data layer with YugabyteDB, Kroger powers high-value microservices faster and with greater flexibility.

As the largest supermarket in the US and a top 5 retailer,

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Plume

Plume

At a glance

Plume’s intelligent WiFi platform is used by the world’s largest ISPs.

MongoDB was unable to scale and Apache Cassandra was hard to operate.

60 nodes of YugabyteDB supports over 27 billion ops/day and 35TB of data.

Plume delivers WiFi solutions for both the consumer and ISP markets.

Plume enables ISPs to offer smart home and related services to their customers.

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Admiral

Admiral

At a glance

Admiral provides services to thousands of publishers around the globe, helping to grow their visitor relationships and revenue. Admiral must handle relationship data instantly and in a highly configurable way based on user and publisher preferences.

The previous MongoDB solution was neither flexible nor scalable enough to handle this large, complex dataset. Evaluating CockroachDB resulted in significant hiccups in latency.

Admiral chose YugabyteDB for its comprehensive geo-distribution capabilities and to drive single-digit low latency,

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Xignite

Xignite

At a glance

Xignite is the leader in market data cloud solutions, providing real-time financial data to more than 700 financial services and fintech customers.

With a growing dataset and customer base, SQL Server became expensive, and scaling out proved to be very challenging.

With YugabyteDB and YugabyteDB Anywhere, Xignite moved to a cost effective database solution, while achieving the high scalability and performance it needs.

Plume delivers WiFi solutions for both the consumer and ISP markets.

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Manetu

Manetu

At a glance

Admiral provides services to thousands of publishers around the globe, helping to grow their visitor relationships and revenue. Admiral must handle relationship data instantly and in a highly configurable way based on user and publisher preferences.

The previous MongoDB solution was neither flexible nor scalable enough to handle this large, complex dataset. Evaluating CockroachDB resulted in significant hiccups in latency.

Admiral chose YugabyteDB for its comprehensive geo-distribution capabilities and to drive single-digit low latency,

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