Delays in detection can mean missed opportunities, prolonged outages, unhappy customers, or even costly breaches. In a world where systems are constantly changing and failures cascade in seconds, every moment counts.
With Timeplus, all data ingestion, transformation, analysis, and alerting happens in a single SQL engine. Observability is live, always. It’s especially crucial in dynamic environments where time-to-detection can make or break uptime.
Observability
Microservices, logs, traces, and metrics flood your systems. Detecting performance issues or service degradation in real time is chaotic with mismatched tools.
Why Timeplus?
Ingest metrics/logs/traces via Kafka, REST, SDKs or OTel collectors. Use SQL with windowing and JOINs to compute error rates, latencies, and anomaly patterns. Dashboards auto-update via SSE; alerts fire instantly when thresholds or service-level indicators breach. Integrates with Grafana, Slack, PagerDuty for alert routing.
Cybersecurity/DDoS
Network spikes, bot floods, or suspicious traffic can cripple infrastructure if not caught in time. Traditional monitoring tools don’t scale in velocity or pattern detection.
Why Timeplus?
Ingest high‑velocity network traffic metrics or logs (e.g. from Kafka, syslog, REST). Run windowed anomaly detection, pattern recognition, or volume burst queries entirely in SQL. Support alert routing or downstream sink triggers based on detection logic. Handle incident gestation patterns with composable throttling or clearing logic in SQL, preventing alert storms.
IoT Telemetry
Sensor-heavy environments (e.g., vehicles, factories, buildings) generate massive telemetry. Latency, connectivity, and data volume make centralized ingestion unreliable or costly.
Why Timeplus?
Deploy lightweight—single‑binary, C++‑based—at edge or gateway with efficient local ingestion. Run local SQL-based transforms, aggregations, windowed anomaly detection. Manage both append-only and mutable streams to correct sensor errors or update label state. Route alerts or downstream summaries when anomalies occur or thresholds breach.
Trusted by industry leaders with mission-critical workloads:
Trusted by industry leaders with mission-critical workloads:
Discover End-to-End Capabilities
Native Telemetry Ingestion
Timeplus supports direct ingestion from various sources such as Kafka, OpenTelemetry, REST APIs, SDKs, and WebSockets. This eliminates the need for additional middleware, allowing for streamlined data processing.
Ultra‑Low Latency + High Throughput
With sub-second processing latency and the capability to handle millions of events per second, Timeplus ensures that telemetry data is processed and analyzed in near real-time, facilitating immediate insights and actions.
Streaming SQL with JOINs, Windowing, UDFs
Timeplus enables complex data processing through SQL, including windowed aggregations, joins, and user-defined functions (UDFs) in Python or JavaScript. This flexibility allows for sophisticated analysis and anomaly detection directly within the streaming pipeline.
Append-Only + Mutable Streams
Timeplus supports both append-only streams, optimized for high-velocity data ingestion, and mutable streams that allow for updates and corrections. This versatility caters to different data handling requirements, such as event logging and telemetry corrections.
Continuous Running Queries and Materialized Views
Timeplus allows for the creation of continuous queries and Materialized Views, which are automatically updated as new data arrives. This feature supports real-time dashboards and alerts without the need for batch processing.
Alert Management and Throttling
Timeplus provides SQL-based alerting mechanisms that can detect specific conditions or anomalies in telemetry data. Additionally, it supports alert throttling and suppression to prevent alert fatigue and ensure that only meaningful notifications are sent.
Edge-to-Core Deployment Flexibility
Timeplus can be deployed both at the edge (on devices or gateways) and in centralized cloud environments. This flexibility ensures that telemetry data can be processed close to its source, reducing latency and bandwidth usage.
Visualization Integration
Timeplus integrates with visualization tools like Grafana, allowing for real-time dashboards that reflect the current state of systems and infrastructure. This integration aids in monitoring and troubleshooting by providing intuitive visual representations of telemetry data.
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