The world is moving towards the point where everything will have a sensor. Today, industrial data sensors generate more data than any other economic sector. IoT data is mostly time-stamped.

Time-series data generated by all sorts of IoT devices grow double digits each year. This trend triggers the ever-growing demand for processing and aggregation of time-series data, the fastest-growing data type over the past years. It is possible to use different databases to aggregate and store time-series data like NoSQL, RDBMS, and others, but only time-series databases, designed for efficient ingestion, storage, and query of time-series data, are capable of providing the necessary performance and tools to effectively work with time-series data on a large scale.

TimeBase from its very inception was designed as a time-series database, streaming engine, and messaging middleware, which sets it apart from the multitude of adopted products on the market.

We designed our product with the primary goal to aggregate, store and stream large volumes of high-frequency time series data with superior performance.

TimeBase is a time series database and message broker for IoT

Our battle-tested system offers only proven functionality that is required to effectively work with high volumes of time series IoT data, including support of MQTT industry-standard protocol:

  • TimeBase can be configured to aggregate time-series data of all sorts from numerous devices, store data, consolidate and stream it live to multiple data consumers.
  • Flexible data modeling allows following unique data patterns not limited to one-size-fits-all kinds of solutions.
  • Superior performance can be achieved even on moderate hardware, reaching a throughput measured in millions of messages per second.
  • Unified codebase allows working with historical and real-time data simultaneously, which is indispensable for testing, analytics, and forecasting

Selected Use Cases

  • Vehicle sensors: IoT data can be generated by GPS, fuel consumption, speed, and other operational sensors, and more.
  • Smart home/city: IoT data can be generated by traffics lights, consumer electronics, security and surveillance systems, smart electric, water, or heating meters, and more.
  • Industrial IoT sensors: all sorts of interconnected industrial sensors for production management, resources consumption, productivity monitoring, and more.
  • In e-commerce time-series databases can store IoT time series data related to logistics and shipping, payment data, order delivery monitoring, consumer behavior, and many more.