Case Study: Riptide IO achieves millions in energy savings and reduces total cost of ownership by 67% with DataStax

Riptide IO Minimizes Operational Costs, Saves Energy with DataStax

Riptide IO turns thousands of small commercial buildings into “smart” sites by connecting rooftop HVAC, refrigeration, lighting and security sensors for major retailers such as AT&T, Verizon and ULTA. The company faced a massive time-series data challenge: ingesting and analyzing minute-by-minute sensor streams from thousands of machines, avoiding the cost and scale limits of relational databases, and getting a production-ready solution quickly with a very lean team.

Riptide IO chose DataStax Enterprise (Apache Cassandra) on Google Cloud, leveraging enterprise support and training to accelerate development and operations. The result: the application went to market in two months, achieved 100% uptime and scalable performance, cut total cost of ownership by over 67% (under one-third the cost of legacy systems), and has saved retailers millions in energy and operational expenses.

Riptide.io

Marti Ogram

Co-Founder