IoT / Sensor / Device Data

Basho Internet of Things

Internet of Things is changing everything.

Everyday objects — from consumer goods to industrial machines — form the Internet of Things (IoT), a growing network of millions of sensors and devices that can share information and complete tasks while we go about our daily lives. From homes and cars to city streets and weather satellites, seemingly everything will be connected to the Internet and will provide a continual stream of data that can be used to improve our lives and businesses.

Enterprise applications collect time series data, which requires aggregation and analysis to be useful. But optimally storing and analyzing time series data with traditional databases is often not possible.


Sensor and device data comes in at high velocity with a variety of data formats and at massive volume. This requires a database that can read and write time series data fast. Riak TS is a high performance, highly resilient NoSQL database optimized for time series data. By co-locating data based on time range, it is easier to ingest, transform, store, and analyze sensor and device data. Riak TS scales horizontally with commodity hardware to meet increasing volumes of data. No need for complex data sharding.


Riak TS ingests and stores sensor and device data for a variety of IoT solutions. Riak’s masterless architecture, global availability, linear scale and fault tolerance are critical to ensuring a consistent experience for writing and reading data.

The Riak TS masterless architecture, high resiliency, linear scale, and operational simplicity ensure an optimized read and write experience. Read and analyze your data using SQL queries and Apache Spark.

  • Transportation, Manufacturing & Utility: Temetra and Emerson Electric use Riak to store data from devices like utility meters and digital thermostats.
  • Media & Entertainment: The Weather Company deployed Riak across multiple Amazon Web Services (AWS) availability zones. Riak is used to store a variety of data from over 130,000 data sources including satellites, radars, forecast models, users, and weather stations worldwide.