Open Enterprise Data Platform
Platform Architecture
Enterprise Data Sources
Databases, apps, events, APIs, files & IoT
Streaming & Batch Ingestion
Kafka, Python connectors, batch & streaming pipelines
Open Lakehouse Storage
Iceberg, object storage, versioned tables, ACID & schema evolution
Distributed Query & Compute
Trino, StarRocks, TiDB, Vitess & Redshift
Governed Data Products
Curated datasets, business domains & semantic-ready models
Enterprise Consumption
BI, machine learning, AI applications, data APIs & self-service
Open by Design
One governed open data foundation lets multiple engines work against the same enterprise assets—preserving freedom of choice, reducing lock-in, and enabling each team to use the right tool without compromising standards or scale.
Governance, Reliability & Platform Operations
Apache Iceberg
Open tables with ACID, schema evolution, and time travel.
Metadata Management
Centralized discovery and governance of enterprise data assets.
Data Quality
Automated validation, monitoring, and trusted data products.
Observability
Platform health, workload monitoring, and operational visibility.
Security
Role-based access, governance policies, and secure enterprise access.
Infrastructure Automation
Containerized services, deployment automation, and repeatable provisioning.
Platform technologies
Open Interoperability
A shared open data foundation enables multiple analytics and operational engines to work together without duplication or compromise.
Vendor-Neutral Architecture
Open standards and portable table formats protect architectural choice, reduce lock-in, and keep the platform adaptable over time.
Scalable Analytics
Cloud-native foundations scale across batch, streaming, operational analytics, and AI workloads as enterprise demand grows.
AI-Ready Foundation
Governed, interoperable enterprise data provides a durable foundation for future analytics, machine learning, and intelligent applications.