Building with data is complex, from access to people management. AI support for planning, execution, stakeholder management and communication makes it easier.
Conversationally build from plan to execution
Stakeholder awareness, management and communication
Implementation from ingress to delivery
IYKYK, but for our AI.
Rich context makes for smarter AI. Aurora integrates with your existing systems to understand your data and your business.
Business value as context
Code, docs and logs as context
Live and test data as context
Local and remote context management
Aurora, Moose and Boreal sweat the small stuff.
Developer ergonomics first, user friendliness included.
Application languages (PY, TS) for data
Local first, auto detect and deploy
CICD based cloud hosting with security
AI generated documentation for code
Eat any data, from anywhere.
Flexibility in source types and ingestion patterns with Aurora writing Moose Ingests. Push, Pull, Streaming, Batch, Bulk, whatever you need.
Local, cloud and SAAS app data
Chron, script orchestration and monitoring
Error handling, log and infrastructure awareness
From data to doing.
Getting your data from your OLAP DB to your app or dashboard should be the fun part. Seamlessly integrate the two with Moose code written by Aurora.
AI-composed DB functions & materialized views
Generate standard, documented consumption APIs
Documented consumption SDKs generated for downstream devs
Data intensive widgets designed by Aurora
Bulk data migrations to and from complex systems. Get your data from point A to B in just a few minutes.
CRM, ERP migration
Medical record standardization
Works with all complex data systems
Better together. Get the best out of Aurora with Moose and Boreal.
Public Beta
Turn data into products.
Moose is an open source data engineering framework for software devs to quickly build and ship production data pipelines, data products, and data-intensive features
