Amazon Timestream is a fast, scalable, fully managed time series database service for IoT and operational applications that makes it easy to store and analyze trillions of events per day at 1/10th the cost of relational databases. Driven by the rise of IoT devices, IT systems, and smart industrial machines, time-series data, data that measures how things change over time, is one of the fastest growing data types.
QuasarDB is a high-performance, distributed, time series database. QuasarDB has been designed to handle the most extreme time series use cases in financial applications. It seamlessly combines, in a single product, in-memory database capabilities with efficient, reliable long-term storage. Scalability is transparent, whether it's for very large and dense time series or millions of smaller ones.
Offload non-trivial operational tasks for metrics storage such as replication, backup and seamless scalability to VictoriaMetrics. Query all the metrics your Prometheus instances collect via a single Prometheus-compatible datasource. Fast query engine. It excels on heavy queries over thousands of metrics with millions of metric values. VictoriaMetrics supports native PromQL. There is no need in learning yet another query language.