Time, we seem to never have enough of it, but yet time series data is growing out of control. Time stamped data feeds are made up of any data that contains a time stamp. Common industry examples include:
This time series data analysis is critical to making good business decisions.
Time-stamped data feeds come in all shapes and sizes and the data is usually semi-structured. This requires a database that is optimized for time series data and is easy to analyze using range queries. Riak TS is a high performance, highly resilient NoSQL database optimized for fast reads and writes of time-stamped data feeds. Data co-location makes it fast to store time series data. This, along with the ability to create tables and perform SQL queries, makes it fast to analyze your time series data. Riak TS is operationally easy to use and allows you to add capacity on demand using commodity hardware. There is no need for complex data sharding.
Whether your data is a set of views and clicks, live social data, or financial market data, Riak TS optimally stores your time series data for fast analysis and real-time response. Riak TS’s masterless architecture, resiliency, linear scale, and operational simplicity are critical for ensuring your time series data is always available for read and write operations.