Timeplus unifies real-time streaming and historical data in a single binary, implementing mission-critical workloads to act on fast changing events and insights, deployable from the edge to the cloud.
Unified Streaming and Historical Data Processing
Facilitates the handling of both real-time and historical data seamlessly.
Internal Write Ahead Log (WAL)
Ensures data integrity and reliability in event processing.
Multi-JOINs and ASOF JOINs
Enriches and correlates events for more insightful streaming queries.
Python and JavaScript UDF
Allows users to extend Timeplus with custom logic for enhanced functionality.
Timeplus is designed to handle mission-critical workloads by unifying real-time streaming and historical data into a single binary. This enables organizations to act on fast-changing events and insights, whether they are deploying from the edge to the cloud or within their data centers. The platform supports diverse workloads, including real-time pipelines, incremental processing, and alerting, making it a versatile solution for various industries.
Timeplus operates efficiently in both bare-metal and Kubernetes environments, reducing memory usage and infrastructure costs significantly. It supports high throughput, with capabilities such as 700k events per second peak indexing throughput and 99.99% near-perfect uptime.
Real-Time Trade Intelligence
DDoS Detection
Edge Analytics and Anomaly Detection
Timeplus is particularly beneficial for industries such as Financial Services, Telecommunications, Manufacturing, and Technology.
Yes, Timeplus can integrate with various tools, enabling seamless data processing and analytics.
Yes, Timeplus offers a 30-day free trial with no credit card required.
