calls lindb “Choose it for a Go-based distributed TSDB when you prefer Go over Java and can forgo IoTDB's Hadoop/Spark integration.”
Apache IoTDB
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calls lindb “Choose it for a Go-based distributed TSDB when you prefer Go over Java and can forgo IoTDB's Hadoop/Spark integration.”
Apache IoTDB
calls lindb “When you need a horizontally scalable, HA time-series database in Go with low operational overhead and no external dependencies.”
Scalable datastore for metrics, events, and real-time analytics
calls lindb “Choose if you want a distributed TSDB focused on metrics with low latency and lightweight query language, not full SQL.”
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
calls lindb “Choose LinDB when you need a lightweight, distributed TSDB tailored to large-scale monitoring workloads.”
A time-series database for high-performance real-time analytics packaged as a Postgres extension
calls lindb “Choose when you need a Kubernetes-native distributed time-series database for metrics and are willing to standardize on its operational model and not necessarily the Prometheus query API.”
VictoriaMetrics: fast, cost-effective monitoring solution and time series database
calls lindb “metrics-only distributed time-series DB in Go; choose it for a simpler metrics backend if you don't need logs/traces.”
The open-source observability database. One columnar engine for metrics, logs, and traces, on object storage.