OpenTSDB is an open-source distributed time-series database designed to store and analyze massive amounts of time-series data. It is built on top of Apache HBase and is optimized for high write and read throughput. OpenTSDB allows users to collect and visualize metrics from various sources, making it a popular choice for monitoring and observability applications.
In the realm of Databases, OpenTSDB falls under the category of time-series databases. Time-series databases specialize in handling time-stamped data, making them ideal for applications where data points are recorded over time. This category is essential for industries such as finance, IoT, and DevOps, where tracking and analyzing trends over time are crucial for decision-making processes.
OpenTSDB was founded in 2011 by Benoit Sigoure, Marcus Rauchfuss, and Jonathan Ellis. Their motivation was to create a scalable and performant solution for storing and querying time-series data at scale. Since its inception, OpenTSDB has gained traction in the market, particularly among tech companies and enterprises dealing with vast amounts of timestamped data.
Currently, in the competitive landscape of time-series databases, OpenTSDB holds a decent market share due to its robust features and scalability. With the increasing importance of monitoring and analyzing time-series data across various industries, it is expected that OpenTSDB's market share will continue to grow in the future as more organizations recognize the value of utilizing time-series databases for their data analytics needs.
