MirrorShip Enterprise powered by StarRocks

MirrorShip Enterprise is a commercial enterprise analytics database developed by MirrorShip and powered by the open-source StarRocks project. This Professional Services offering includes MirrorShip Enterprise licensing together with tailored services to plan, deploy, configure, migrate, and optimize the StarRocks-based platform on AWS for real-time analytics, lakehouse, and AI workloads. Our specialists assess the customer's current data architecture, define an implementation aligned with business and technical requirements, and support deployments on Amazon EC2 or Amazon EKS.

At its core, MirrorShip extends StarRocks as a unified analytical foundation for real-time and historical data. StarRocks' massively parallel processing architecture, vectorized execution engine, and cost-based optimizer support complex SQL, high-concurrency analytics, and multi-table joins, reducing the need for pre-flattening or pre-aggregation. MirrorShip can ingest streaming data as it arrives, use object storage in shared-data architectures, and query open lakehouse tables such as Apache Iceberg and Apache Paimon in place. It also supports federated data access and MySQL-compatible tools and BI ecosystems, helping teams reduce data movement and migration complexity. For AI workloads, MirrorShip adds vector and multimodal retrieval capabilities that allow structured data, semantic retrieval, and analytical queries to be served from the same StarRocks-based platform. Enterprise capabilities can also include fine-grained access control, auditability, workload management, and operational tooling. Available capabilities depend on the product version and agreed scope.

Depending on the agreed architecture and scope, an engagement may involve AWS services such as Amazon S3, Amazon EC2, Amazon EKS, AWS Glue, AWS IAM, Amazon VPC, and Amazon CloudWatch; these are not mandatory dependencies of MirrorShip Enterprise. Managed services are available only when explicitly authorized by the customer and included in the applicable Private Offer or Statement of Work. Scope, timeline, delivery model, pricing, support levels, and responsibilities are defined in the applicable Private Offer or Statement of Work. Customers are responsible for AWS infrastructure charges incurred in their AWS accounts; those charges are separate from the fees for this offering transacted through AWS Marketplace.