Powering businesses to performfaster, smarter, and more e�ciently

BIG DATA

World’s data doublingevery two years

(Source: IDC) (Source: IDC)

IoT devices to be operational by 2020

(Source: Gartner)

of enterprises will usehybrid cloud by 2017

INTERNET OF THINGS HYBRID CLOUD

2X 28 billion 50%

90%of all digital information is unstructured data

(Source: IDC)

Relational or SQL databases lack �exibility to handle massive amounts of unstructured data, contributing to

IT Pain Points for Enterprises

Global Availability

Latency Multi-datacenterReplication

Node Failure Scalability

Enterprises are migrating to NoSQL, to meet the demands

of Big Data and IoTand the evolving IT requirements

Need more cost e�ective solution

11%

To solve a problem that RDBMS could not

Need easily scalable solution

71%

22% Other

Basho solves critical data management challenges with highly available, fault-tolerant solutions for

distributed systems

Controls and simpli�es distributed Big Data and IoT applications for high availability and scalability

Provides integration with Redis, Spark and Solr

Distributed, key-value database Riak optimized for time series data

Guarantees reads and writes in event of hardware failure

Faster reads and writes making it easier to store, query, and analyze data

Cloud storage software optimized for videos, images etc.

Compatible with Amazon S3 and OpenStack Swift

HIGHAVAILABILITY

SCALABILITY FAULTTOLERANCE

OPERATIONAL SIMPLICITY

+30% of Fortune 50 companies use Basho to power their critical web, mobile, and social applications.

Riak KV was extremely easy to set up, con�gure, and scale up. It delivered on its promise of resiliency against the loss of a node, so it was a perfect solution for us.

Senior Architect,WhitepagesDevin Ben-Hur

26% 26% 40% 85%47%

31%

WHY ENTERPRISES ARE SHIFTING TO

NoSQL DATABASE TECHNOLOGYNoSQL DATABASE TECHNOLOGY

* Source: TechValidate Survey of Basho Technology Customers 2015

LEARN MORE

LEARN MORE about how Basho helped Whitepages meet their growing data requirements

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