Scale-Out SQL Database Allows Leading Internet of Things Player to Store and Analyze Massive Volume of Data in Real-Time
SAN FRANCISCO, CA – Feb 6, 2014 – Clustrix, provider of the leading scale-out SQL database engineered for the cloud, today announced that Taggle Systems, the Australian provider of low-cost, long-range and low-power location and telemetry services, chose ClustrixDB to solve its scale and real-time analytics problems. Using ClustrixDB to record and analyze data for livestock, utility meters, and irrigation across large-scale installations in Australia, Taggle provides up to the minute information to its users.
Taggle’s custom tags allow its users to periodically monitor and transmit data into a network of extremely sensitive custom receivers. Once collected, the data is analyzed internally before a final transmission is sent to the end user via the Internet or mobile phone. Ranchers use this data to identify patterns or anomalies among their livestock.
Built for large-scale and fast-growing applications, ClustrixDB allows Taggle to run massive transaction volume and fast real-time analytics, both at the same time. The company runs ClustrixDB software in the Rackspace cloud, simply adding servers to grow the database with no manual work and taking the pain out of scaling by automating most of the operations.
“The ClustrixDB solution, combined with cloud servers, allows me to stop worrying about scaling and redundancy, said Ivan Di Giusto, IT architect at Taggle Systems. “Our database administers’ workload has dropped 75 percent, freeing up resources to focus on delivering value to our customers.”
Internet of Things applications, like the Taggle tags, serve millions of users, with a high volume of customer information and metadata stored within a company’s primary database. As a result, businesses often experience downtime and poor performance. ClustrixDB provides transactional guarantees, high data read and write throughput, and analytics and reports, ensuring companies like Taggle can grow with their data sets and increasing loads.
“From continuous tracking to sending thousands of transmissions per day, Taggle realized the value of using multiple cores on a single node and multiple nodes in parallel to make their analytic queries and reports faster,” said Robin Purohit, CEO of Clustrix. “Companies looking to scale their operations and analyze and act on this dynamic data in real-time, should turn to distributed databases such as ClustrixDB to run increasingly complex queries directly on live operational data.”