Gateway Observability Buffer
Buffer logs and metrics locally at sites, then synchronize upstream for centralized troubleshooting.
Insight in no time
Schema on the fly
MonoTS focuses on edge-native time-series persistence plus built-in synchronization, so you can keep local control without losing cloud connectivity.
WHY MONOTS
"The data flow of insights should be as smooth as transactions."
Instead of assembling separate local databases, connectors, and sync workers, MonoTS keeps ingest, query, and synchronization in a single operational model.
This reduces moving parts at the edge and gives teams a predictable path from local writes to upstream analytics systems.
Keep ingestion stable on constrained edge machines with a lightweight single-process runtime.
Query fresh data immediately at the source through gRPC + SQL, without waiting for cloud-side jobs.
Organize data around the mandatory time column and seal Parquet files for efficient pruning.
Create and control sync pipelines with SQL commands like CREATE STREAM, SHOW STREAMS, and DROP STREAM.
Recover automatically after network interruptions with server-side progress tracking and resume.
Evolve business columns over time while keeping a strict, performant time-series core model.
MAXIMIZE MONOTS EFFECTIVENESS
Buffer logs and metrics locally at sites, then synchronize upstream for centralized troubleshooting.
Collect high-frequency sensor events near machines and keep cloud pipelines continuously fed.
Continue ingesting when WAN is flaky, and let streams catch up automatically after reconnection.
FREQUENTLY ASKED QUESTIONS
No. MonoTS is optimized for edge deployment, but it also runs in VM or container environments.
Clients connect through gRPC (CLI and SDK). SQL statements are executed through that API surface.
For filesystem and Delta-style batch flows, data appears after sealing (auto flush or FLUSH TABLE).
EXPLORE MORE ABOUT MONOTS
Docs · 5 min
Build from source, boot server + CLI, and complete a minimal ingest/query walkthrough.
Read moreDocs · Architecture
Configure Kafka, Delta, and filesystem stream targets with practical checkpoint guidance.
Read moreDocs · Reference
See supported DDL/DML, required time semantics, and common type compatibility details.
Read more