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Build a realtime, AI-native data warehouse

resink.ai is an AI-first, cloud-native realtime data warehouse. With a realtime-first architecture, you ship streaming analytics and AI features faster—without sacrificing governance or reliability.
Core stack: Flink for compute, Kafka for streams, StarRocks for OLAP, and open table formats (Iceberg/Paimon). ResinKit SDK + UI provides a Jupyter-friendly experience for Variables, Data Sources, and Flink SQL.

Get started

Quickstart

Install ResinKit, connect, and run the UI tools in minutes.

ResinKit SDK & UI

SDK Overview

Install, configure, and explore the SDK with Jupyter-friendly UI.

Variables UI

Centrally manage configuration and secrets.

Data Sources UI

Add SQL/Kafka sources, test connections, and crawl schemas.

Flink SQL UI

Execute SQL with live streaming results in notebooks.

RTDW reference workflows

Start from proven blueprints to accelerate implementation.

S001: Entity Extraction & Archiving

Extract entities and persist history for downstream enrichment.

S002: Raw Event Ingestion & Storage

Ingest raw events reliably with partitioning and retention.

S005: Event Aggregation (Session/Daily)

Build session windows and daily aggregates for fast analytics.

S007: Fact Order Star Schema

Model a star schema for orders with dimensions and facts.

S008: SCD Type 2

Preserve entity history for accurate point-in-time queries.

S011: CDC Ingest to Iceberg

Stream database changes into open table formats.
New to point-in-time modeling? Begin with daily snapshots, then adopt SCD Type 2 where precision is required.