apache/iotdb Alternatives

Choose it for a mature TSDB with InfluxQL/Flux when you don't need IoTDB's TsFile or edge-cloud sync.

Scalable datastore for metrics, events, and real-time analytics

Choose it when you want a Java TSDB with SQL and low-latency ingestion but can trade away IoTDB's industrial edge features.

QuestDB is a high performance, open-source, time-series database

Choose it for a Go-based distributed TSDB when you prefer Go over Java and can forgo IoTDB's Hadoop/Spark integration.

LinDB is a scalable, high performance, high availability distributed time series database.

Choose it for Industrial IoT workloads with SQL when you can accept AGPL-3.0 instead of Apache-2.0.

High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios

Choose it for pull-based monitoring with PromQL when you don't need SQL or industrial IoT device management.

The Prometheus monitoring system and time series database.

Choose it for low-cost Prometheus-compatible metrics storage when your workload is monitoring rather than general time-series analytics.

VictoriaMetrics: fast, cost-effective monitoring solution and time series database

Choose it for cloud-native observability on object storage when you need metrics/logs/traces in one engine instead of IoTDB's industrial focus.

The open-source observability database. One columnar engine for metrics, logs, and traces, on object storage.

Choose it when you already run PostgreSQL and want time-series as an extension rather than a separate TSDB.

A time-series database for high-performance real-time analytics packaged as a Postgres extension