Official Open Source Release in Changsha, China
On January 23, 2026, we officially open-sourced WarpParse - a next-generation high-performance ETL engine in Changsha, China. WarpParse is a high-performance open-source ETL engine designed for observability, security, real-time risk control, and data platform teams. Through comprehensive benchmark testing, WarpParse has achieved industry-leading performance in throughput, resource consumption, and ease of use.
What Makes This New ETL Engine Superior?
Surpassing Vector's Throughput
WarpParse has achieved breakthrough performance:
- Parse Performance: 3.4x-3.5x improvement over Vector-VRL in mixed log scenarios
- Parse+Transform Performance: 2.8x-2.80x improvement
- Peak Throughput: 810,100 EPS in Nginx log scenario (File→BlackHole)
- Data Throughput: 380+ MiB/s in APT large packet scenario
These performance metrics were obtained on AWS EC2 standard configuration (8 vCPU / 16 GiB RAM) in completely fair testing environments, with high reproducibility and reference value.
Lowest Resource Usage Under Load
At the same fixed throughput of 20,000 EPS, WarpParse demonstrates excellent resource utilization efficiency:
- CPU Usage: Only 54% average CPU, 68.8% lower than Vector-VRL, 80.4% lower than Logstash
- Memory Usage: Only 60 MB average memory, 63.0% lower than Vector-VRL, 95.0% lower than Logstash
This means in resource-constrained edge environments, WarpParse can complete the same workload with fewer resources, making it ideal for large-scale deployments and cost optimization scenarios.
Lower Cost DSL
WarpParse provides two revolutionary Domain Specific Languages (DSL):
WPL (WarpParse Language) - Parse DSL
- Smaller rule size: 30-50% reduction in configuration complexity compared to regex
- Built-in logic-aware operators: supports advanced features like alt (alternative fallback), opt (optional matching), some_of (loop detection)
- Integrated pipeline: completes cleaning and parsing in a single expression, avoiding data transfer overhead between multiple components
OML (Object Modeling Language) - Transform DSL
- Declarative modeling: users only describe "what they want" without worrying about "how to do it"
- Native SQL integration: supports direct database queries for real-time data enrichment during object construction
- Flexible aggregation construction: supports building complex nested JSON objects and array aggregation
Value for Our Customers and the Industry
Observability and Security Analysis
- High-performance log processing: supports massive log real-time ingestion and analysis, meeting low-latency requirements for security threat detection
- Flexible data transformation: quickly adapts to various log formats through WPL and OML, including Nginx, Sysmon, APT threat logs, etc.
- Real-time data enrichment: leverages OML's SQL integration to correlate raw logs with user information, geolocation, and other contexts
Cost Optimization
- Resource savings: significantly lower hardware investment required for the same log processing capability
- Simplified operations: single binary deployment with configuration management, no complex multi-component orchestration needed
- Scale effect: in large-scale deployments, CPU and memory savings can bring considerable TCO reduction
Ecosystem Compatibility
- Unified Connector API: supports mainstream data sources and targets like Kafka, MySQL, Elasticsearch, VictoriaLog, Doris
- Open source license: uses Apache 2.0 open source license, providing commercial-grade support and guarantees
- Community-driven: welcomes developers to contribute new connectors and optimization solutions
Open Source with Apache 2.0 License
WarpParse has adopted the Apache License 2.0 open source license:
- Free to use: all users can freely download, use, and modify the source code
- Business-friendly: open license that permits commercial applications and derivative products
- Community contributions: welcomes community PR submissions and contributions to improve the ecosystem
- Long-term support: Dayu Security commits to providing continuous technical support and feature iterations for WarpParse
WarpParse's Future Development
2026 Plans
- Ecosystem expansion: adding more connector support, covering mainstream data platforms
- Toolchain improvement: releasing wpgen code generation tool, wprescue fault diagnosis tool, wproj project management tool and other DevOps tools
- WPL/OML improvement: expand semantic types and protocols based on community feedback, extend pipe function library
- WP-Editor enhancement: enhance online editor features, improve error location and user experience
- WP-Rule operations: establish community rule library, share common log rules
- Global ecosystem: establish international developer community, promote WarpParse adoption
Our Commitment
WarpParse is not just a high-performance technical product, but also our deep commitment to the open source community. We believe:
- Performance is fundamental: efficient resource utilization is the prerequisite for all applications
- Ease of use is key: good DSL design can significantly improve development efficiency
- Openness is the direction: open source and community-driven can accelerate innovation iteration
We welcome all developers, architects, and operations personnel interested in high-performance ETL engines to join the WarpParse community and jointly promote the advancement of data processing technology.