The best LinDB alternatives
The rest of Best Time-Series Databases, in this site's order: each with what it costs, where it runs and its record score.
TDengine is designed for industrial enterprises and organizations using traditional data historians or legacy industrial IoT platforms.
InfluxDB 3 may suit teams handling timestamped data for industrial operations, observability, or AI applications.
VictoriaMetrics may suit teams needing metrics monitoring and longer-term metrics storage across on-premises, hybrid, or cloud deployments.
IoT teams that need a self-hosted time-series database for edge-cloud deployments may find IoTDB relevant.
GreptimeDB is suited to teams handling time-indexed observability or IoT data who want SQL and PromQL querying.
DolphinDB suits teams that need real-time analytics or stream processing, including those working in finance, energy, transportation, manufacturing,…
QuestDB may suit teams handling time-series data in low-latency settings, including capital-markets firms, digital-asset businesses, energy…
CnosDB may suit teams collecting and querying time-oriented data for the listed IoT, industrial, vehicle, or IT operations uses.
Warp 10 suits teams managing sensor or other time series data on their own infrastructure.
openGemini suits teams analyzing time-series data for monitoring, observability, IoT, or operations.
Prometheus suits teams that need to collect and query system metrics or set up alerts.
Timestream suits teams building time-series workloads such as IoT telemetry, real-time monitoring, analytics, or predictive maintenance.
kdb+ suits organizations handling time-series workloads in areas such as trading, fraud detection, IoT monitoring, and other listed sectors.
RRDtool suits developers and administrators who need self-hosted time-series logging, retention policies, and graphing through command-line tools or…
It suits teams needing a self-managed time-series system with PromQL, Kafka or Influx ingestion, retention policies, and horizontal scaling.
BTrDB suits developers and operators working with dense telemetry who can deploy and manage a self-hosted database.
