Orchestration beyond Airflow
The Clock Is Not a Dependency: Orchestration for the Agentic Data Era.
Build stateful systems with confidence
Modern architecture patterns and tools for building reliable, scalable data-intensive applications.
Event-Driven Architecture
Build systems that react to changes in real-time with robust event sourcing and CQRS patterns.
State Management
Manage distributed state with consistency guarantees across your entire system.
High Performance
Optimize for throughput and latency with battle-tested patterns and implementations.
How It Works
1
Define Your Data Model
Describe your domain events, aggregates, and projections using our intuitive schema language.
2
Configure Your Infrastructure
Deploy to your preferred cloud provider with our infrastructure-as-code templates.
3
Build Your Application
Use our SDKs to integrate with your existing codebase in minutes, not months.
Latest from the Blog
View all posts →The Semantic Layer, the Materialized View, and the Query Rewrite
Materialized View that can be Incrementally Updated every x hours can replace the corresponding ELT pipelines. With Transparent Query Rewrite, such MVs can play an important role in AI/BI.
Context Platform for Data: Profile > Semantic > Transformation > Intelligence
AI/BI-powered Analytics have 3 assumptions: [1] dimensional data model [2] transformation pipeline [3] data integrity & quality. However, the realistic gaps still exist in all these areas which lead to lower-than-expected accuracy of AI-for-analytics. This article explains the WHY and HOW to `shift left` and mitigate this from the ground truth level by investing into the true data engineering paradiams.
Ready to build better data systems?
Join our pilot program and get early access to our platform.
Get Started