The best SiriDB 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.
LinDB suits teams building IoT or IT operations monitoring systems that need to store and analyze numeric time-series metrics.
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.
