Cost-efficient lakehouse storage
Keep large analytical datasets on compatible object storage while scaling compute separately for query demand.
Lakehouse analytics
Lakehouse analytics at storage economics
Deploy StarRocks frontend and compute-node containers for shared-data analytics, keep durable data on S3-compatible object storage, and connect through familiar SQL clients and BI tools.
SEEMI CLOUD
Reliable infrastructure with operational safeguards built in
Secure by design Backup ready Regional choice API and agent ready
One lakehouseUnify analytical data access
Fast SQLInteractive and high-concurrency analytics
Open storageUse S3-compatible object storage
Elastic computeScale query resources separately
Capabilities
A practical platform for centralized analytics
Frontend and compute topology
Use FE containers for metadata and planning, with CN containers for shared-data query execution.
Familiar SQL access
Connect using supported MySQL clients, drivers, DbGate, and business-intelligence tools.
Granular authorization
Use StarRocks users, roles, and privileges to control access to catalogs, databases, tables, and supported operations.
Storage freedom
Seemi object storage provides an integrated path, while compatible external object-storage providers can also be used.
Enterprise data engineering
Seemi can assist with migration, ingestion pipelines, topology design, and multi-region architecture.
Use cases
Built for real workloads
Choose a supported service from the catalog or bring a workload that fits your architecture.
Centralized enterprise analytics
Large analytical datasets
Lakehouse queries over object storage
Real-time and ad hoc analysis
BI tools requiring SQL access
Enterprise ingestion and migration projects
Enterprise lakehouse impact
Unify data and simplify analytical delivery
A centralized lakehouse can reduce duplicated pipelines, make governed data available to more teams, and support reporting, operational analytics, and AI-oriented query workloads from a shared analytical foundation. StarRocks is used in large-scale analytical environments at organizations including Tencent and Lenovo.
Ready to move forward?