Data solutions for every team
Whether you're building analytics infrastructure, real-time data products, or ML pipelines, Interlace provides the foundation you need.
Use Cases
Built for modern data challenges
From batch analytics to real-time ML features, Interlace adapts to your needs.
Analytics Engineering
Build semantic layers and metrics stores with version-controlled transformations. Replace fragmented SQL scripts with maintainable, testable models.
Example: Create curated datasets for BI tools with guaranteed data freshness and lineage.
Data Warehouse Modernization
Migrate from legacy ETL tools to a modern, code-first approach. Run locally on DuckDB, deploy to your production warehouse.
Example: Replace Informatica or SSIS with Python and SQL models that run anywhere.
Scheduled Data Products
Build data products with scheduled pipelines, API-triggered runs, and automatic dependency resolution.
Example: Power dashboards and analytics features with fresh, scheduled data pipelines.
Data Integration
Unify data from multiple sources into consolidated views. Combine APIs, files, and databases with Python and SQL.
Example: Combine CRM exports, API data, and database tables into unified datasets.
Business Analytics
Build analytics pipelines that transform raw data into curated datasets for BI tools and reporting.
Example: Build product analytics and reporting pipelines with full data lineage.
ML Feature Engineering
Create reproducible feature pipelines that prepare training data with versioned, testable transformations.
Example: Build feature pipelines with consistent transformations across environments.
API Integration Pipelines
Integrate with production-only APIs (GitHub, Companies House, Ordnance Survey) and share source data across dev/staging/prod without re-fetching.
Example: Fetch Companies House data weekly, cache it, and develop transformations against real data without hitting the API.
Multi-Environment Data Platforms
Build dev/staging/prod pipelines with shared source layers, zero-copy reads, and safe environment isolation.
Example: Develop locally with DuckDB reading shared sources, deploy to Snowflake in production — same models, different connections.
Industries
Built for any industry
Interlace provides the foundation for data infrastructure across industries.
Financial Services
Regulatory reporting, risk analytics, and fraud detection
Retail & E-commerce
Customer analytics, inventory optimization, personalization
Healthcare
Clinical analytics, patient journeys, compliance reporting
Technology
Product analytics, usage metrics, infrastructure monitoring
Architecture
Flexible deployment patterns
Run Interlace wherever your data lives. From local development to cloud production, the same code runs everywhere.
Your infrastructure
Data never leaves your environment. Deploy on-prem or in your cloud VPC.
Dev to production
Develop with DuckDB, deploy to PostgreSQL or other ibis-supported backends.
Embedded analytics
Build DuckDB-powered analytics directly into your applications.
Ready to simplify your data pipelines?
Get started with Interlace in minutes. Install, define your first model, and run.