Distributed and Scalable Time Series Solutions

These platforms prioritize horizontal scalability and are often backed by distributed data engines like HBase, Hadoop, or columnar stores. They work well in scenarios where long-term data retention, big data analysis, or real-time ingestion of millions of events are required.

Tools:

• OpenTSDB – A scalable time-series database built on HBase, ideal for long-term storage of high-volume metrics. Includes integrations with visualization tools like Grafana.

• Apache Druid – Designed for OLAP-style real-time analytics on event streams. Supports rollups, aggregation, and fast ad hoc queries across temporal datasets.