FOR AI/ML ENGINEERS
Real-Time Data for AI That Thinks Fast
Real-time feature pipelines. Stream database changes to your feature store, vector DB, or model endpoint. MCP Server connects Claude, Cursor, and any MCP-compatible tool to your streaming data.
We understand your challenges
Feature pipelines are a bottleneck
Stream database changes directly to your feature store. P99 latency under 250ms, source to destination.
Stale training data hurts model performance
CDC keeps training datasets fresh. Continuously sync production data to your ML platform.
Data lake updates are slow and unreliable
Native streaming to Apache Iceberg, Delta Lake, and Snowflake with ACID transactions and time travel.
ML compliance requires data governance
Built-in schema registry, data lineage, and audit logs for model reproducibility and compliance.
Common ML use cases
Real-time Analytics for ML
Stream transactional data to your warehouse for real-time analytics powering fraud detection, recommendations, and personalization.
Training Data Sync
Keep training datasets fresh by continuously replicating production data to your data lake or warehouse.
Data Lake Pipelines
Stream database changes to Iceberg, Delta Lake, or S3 for batch ML training and analytics.
Built for ML workflows
Native Apache Iceberg
Stream to Iceberg with ACID transactions, time travel, and schema evolution. Open format, no lock-in.
Data Warehouse Streaming
Stream to Snowflake, Databricks, BigQuery for ML training and analytics.
Data Lineage & Governance
Track data from source to model. Schema registry and audit logs for ML compliance.
SQL, Python & TypeScript
Compute features with SQL, Python, or TypeScript. Filter, aggregate, and reshape data in-flight.
API & Terraform
REST API and Terraform provider for automation and CI/CD integration.
From database to model in minutes
Connect Your Database
Point Streamkap at your PostgreSQL, MySQL, MongoDB, or other source.
Transform & Route
Apply SQL transforms to compute features or filter data. Route to your destination.
Feed Your Models
Fresh data flows to your feature store, vector DB, or ML platform automatically.
Ready to power your ML pipelines?
Start streaming data to your feature store in minutes. No infrastructure to manage.