The Reactor Platform
Low Code Intelligent Pipeline
The fastest, most efficient ETL path to useful data models ready for generative AI, analytics and activation.
KEY BENEFITS OF REACTOR
Four reasons Reactor is the perfect data onboarding solution
Save money on cloud data warehousing & focus your data team on strategic insights.
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Low code / no code pipelines
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A complete semantic layer
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Future-proof data replay
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Part of your modern data stack
Data Transformation
Cloud Cost Savings
Events Processed
Transformation Time
Ingest Mapping
Platform Capability
“Atomic” (not message-level) semantic mapping engine. Break raw data down into field-level granularity, standardize it, and structure it BEFORE it gets into your data warehouse.
Why You Should Care
Teams will have a flexible data structure to work with in the data warehouse, and it’s faster for teams to get to their insights because the data has been catalogued in real time.
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Flexible Data Structure
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Faster Access to Insights
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Real-time Data Cataloging
Do It Right The First Time!” Simplify data cataloging and governance.
Discover How Hearst Reduces Time–to-Value for Business-Ready Data in GCP BigQuery with Reactor.
Semantic Pipeline
Platform Capability
Common “business-ready” semantic definitions. Map data using common semantics to align fields and values across sources.
Why You Should Care
A unified data set that is immediately usable. Aligning conventions gives every piece of data meaning and purpose.
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Immediately Usable
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Alignment of Convention
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Data with a Purpose
Open for Business: Define your Data with Semantic Labels and Metadata for Faster AI and Business Relevancy.
Shared Understanding at Ingest
Platform Capability
Business-ready semantic definitions are created at the earliest possible (“upstream”) moment.
Why You Should Care
Mapping at ingest (the earliest possible moment in the data pipeline) means context and governance is shareable across all downstream systems and use cases.
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Ingest Mapping for Context
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Governance to Downstream
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Enhanced Usability
LCNC Experience
Platform Capability
Low-code/no-code experience.
Cataloging and mapping occurs in a low-code/no-code platform that shifts data engineering focus from data plumbing to strategic insights.
Why You Should Care
Democratize (for all employees) and consumerize (for non-engineers) the work.
Create transformations and logic that don’t require engineering resources.
Create as many mappings as necessary to meet business requirements without additional engineering resources.
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Democratize & Consumerize Work
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Logic Without Engineering
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Flexible Mappings
Get Started with Reactor
Simplify the complex data challenges across your entire enterprise
Get started with Reactor today and accelerate your adoption of generative AI, analytics and data activation.