Observability,
without the rent.
Sequins Pro is a full SQL database tuned for OpenTelemetry, running on your own infrastructure. Every trace, log, metric, and profile — fast to query, yours to keep, with no per-gigabyte bill.
Keep everything. Query anything.
Never sample again
Keep 100% of your traces, logs, metrics, and profiles in your own object storage. Full fidelity, full history — for the price of a bucket, not a retention bill.
Scale without the rewrite
Add nodes and every one answers for the whole cluster — recent data and full history, merged. No resharding, no rebalancing, no re-architecting as your traffic grows.
Real-time, not rear-view
Dashboards update the instant telemetry lands, anywhere in the cluster. Watch an incident as it unfolds — not minutes after it started.
Your cloud. Your rules.
No stack to assemble
No agents, collectors, or proxies to run. One server ingests OpenTelemetry and answers queries — point your services at it and you're done.
Your data never leaves
Telemetry lives in your own object storage, under your own credentials. No third party ever sees it — the compliance answer that's true by design.
Runs anywhere you do
Kubernetes, bare VMs, or a network with no internet at all. The Helm chart is in the box, and nothing ever phones home.
From one node to a cluster.
Start a node
Generate a storage config and start the server. It ingests OTLP on the standard ports.
Turn on gossip
Pass --gossip-addr and a seed. The node joins the cluster and answers for the whole fleet.
Query anywhere
Point SeQL or Flight SQL at any node. Hot, cold, and live results come back merged.
# Start a single node sequins-server init --output sequins-storage.yaml sequins-server start --config sequins-storage.yaml # Or join a cluster sequins-server start \ --config sequins-storage.yaml \ --node-id "$(hostname)" \ --gossip-addr 0.0.0.0:17946 \ --seed 10.0.0.1:17946
Same OTLP endpoints as open-source Sequins — point your services at the cluster and nothing else changes.
We're onboarding design partners.
Sequins Pro is in early access. Tell us about your stack and your scale, and we'll get you running — or come ask questions on Discord first.