GitFounders
Timeplus is a high-performance real-time data engine written in C++ that unifies streaming and historical data processing into a single, lightweight binary. It processes millions of rows per second from sources like Kafka, Pulsar, and ClickHouse while offering powerful SQL features such as JOIN, CDC, UPSERT, and LOOKUP.
About Timeplus
Timeplus offloads real-time workloads from data warehouses by simplifying both stateful and stateless data processing. Designed to handle diverse tasks like real-time pipelines, incremental processing, mutability, and alerting, it integrates an internal write-ahead log and supports advanced SQL operations including multi-JOINs and ASOF JOINs. The engine’s efficient architecture and low memory footprint reduce infrastructure costs and boost throughput, making it ideal for mission-critical analytics and ETL at scale.
Key Features
- Unified streaming and historical data processing in a single binary
- High throughput with low memory usage and reduced infrastructure costs
- Advanced SQL operations: JOIN, CDC, UPSERT, LOOKUP, and ASOF JOINs
- Extensible with Python and JavaScript UDFs for custom logic
- Seamless integration with Kafka, Pulsar, and ClickHouse
Summary
Timeplus transforms real-time analytics by merging streaming and historical data capabilities. Its robust SQL operations and efficient, low-footprint design empower enterprises to streamline data processing while cutting costs, making it a strategic choice for mission-critical workloads.
