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Equinox sees faster reports,
80% cost-savings
Challenge:
Their data warehouse had limited integration, was very
expensive, and required a lot of platform specific domain
knowledge. They needed to reduce administration and
costs, blend structured and semi-structured data for
analytics, and evolve into a data lake strategy.
Solution:
Equinox migrated from a legacy data warehouse to Amazon
Redshift to combine data from disparate sources like
clickstream data, cycling log data, club management
software, and more. They land data directly in an Amazon
S3 data lake and perform analytics using Amazon Redshift,
Redshift Spectrum, and Amazon EMR.
Result:
• Their monthly Amazon Redshift bill is now 20% of prior
yearly maintenance of their legacy data warehouse.
• AWS data lake and analytics reduced report delivery time
from months to days.
Amazon Redshift
Amazon S3 Amazon EMR
