Data Pipeline & Streaming
We build scalable data pipelines for real-time collection, processing, and storage of large-scale data, utilizing modern streaming technologies like Kafka and Flink.
The Core of Real-time Data Processing
Alpaon's data pipeline technology reliably processes millions of events per second. From real-time streaming to batch processing, we efficiently manage all data workloads.
Real-time Streaming
High-performance real-time data processing using Kafka, NATS, and Flink
Time-series Data
Time-series analysis based on InfluxDB, TimescaleDB, and ClickHouse
Object Storage
Building scalable data lakes with MinIO and S3-compatible storage
ETL & Schema Management
Automated data transformation and schema evolution management
Core Technology Stack
- Real-time Collection/Processing (Kafka/NATS/Flink)
- Time-series DB (InfluxDB/TimescaleDB)
- Log Storage (ClickHouse)
- Object Storage (MinIO/S3)
- ETL Pipeline Automation
- Schema Registry Management
Related Services
Build Your Data Pipeline
We implement scalable pipelines for large-scale real-time data processing and analysis.