We're living in the golden age of databases, as money flows into the industry at historical rates (e.g., Snowflake, MongoDB, Cockroach Labs, Neo4j). If the debate between relational vs. non-relational or online analytical processing (OLAP) vs. online transaction processing (OLTP) ruled the past decade, a new type of database has been steadily growing in popularity. According to DB-Engines, an initiative to collect and present information on database management systems, time series databases are the fastest growing sector since 2020:
Why Use a Time Series Database?
Time series databases (TSDB) are databases optimized to ingest, process, and store timestamped data. Such data may include metrics from servers and applications, readings from IoT sensors, user interaction on a website or an app, or trading activity on financial markets.