Top 1 Time Series Databases SaaS Companies in May 2026

As of May 2026, there are 1 SaaS companies in Time Series Databases. They have combined revenues of $3M and employ 20 people. They have raised - and serve - customers combined.

Time series databases (TSDBs) are specialized database systems designed to manage and analyze time-stamped data efficiently. They optimize storage and retrieval to handle the unique characteristics of time series data, which consists of sequences of data points indexed in time order. These databases are particularly useful for tracking and analyzing trends, patterns, and anomalies over time across various domains such as finance, IoT, and network monitoring. Common use cases for time series databases include real-time analytics, performance monitoring, and predictive analytics. Typical features of TSDBs often include high write and query performance with the capability to handle large volumes of rapidly arriving data, compression techniques to reduce storage costs, and functionality for aggregating data points. The primary users of time series databases often include data analysts, IT operations teams, and industries focused on time-sensitive analyses, such as finance and telecommunications.