StarRocks, Sub-Second Analytics for End Users and Agents at Scale

This AWS Marketplace professional services offering helps enterprises assess, deploy, migrate, upgrade, and optimize the open-source StarRocks database in their own AWS accounts.

The service is delivered by a team founded by core members who participated in StarRocks's early development and remain active in its ecosystem. This listing covers professional services for open-source StarRocks only; no separate database distribution or software subscription is included.

StarRocks is a next-generation, blazing-fast massively parallel processing (MPP) database designed to make real-time analytics easy for enterprises. Built to power sub-second queries at scale, it delivers query speeds far exceeding comparable database products, especially for multi-table joins. StarRocks features a fully vectorized execution engine, a newly designed cost-based optimizer (CBO), and intelligent materialized views.

These capabilities enable powerful analytical solutions across a wide range of scenarios: • OLAP multi-dimensional analytics – leverage the MPP framework and vectorized execution engine to develop multi-dimensional reports; ideal for user behavior analysis, user profiling and tagging, high-dimensional metrics reporting, self-service dashboards, financial data analysis, and system monitoring.

• Real-time analytics – use the Primary Key table for real-time updates; synchronize changes from transactional databases to StarRocks in seconds to build a real-time data warehouse for online promotion analysis, logistics tracking, financial performance analysis, and livestreaming quality analysis.

• High-concurrency analytics – power user-facing analytics at high concurrency for advertiser report analysis, retail channel analysis, SaaS dashboards, and multi-tabbed dashboard analysis.• Unified analytics – reduce system complexity and TCO by unifying data lakes and data warehouses; run latency-sensitive, high-concurrency queries on StarRocks while accessing data lake assets through external catalogs or external tables.

StarRocks supports flat, star, and snowflake schemas with high-speed data ingestion and real-time updates and deletes. Compatible with MySQL protocols and standard SQL, it offers out-of-the-box support for major BI tools such as Tableau and Power BI, with no external dependencies.

Engagements may include architecture and readiness assessments, installation and configuration, migration advisory and planning, proof-of-concept validation, performance tuning, capacity planning, security and access-control design, monitoring guidance, operational documentation, and knowledge transfer.

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. Depending on the agreed architecture and scope, an engagement may involve AWS services such as Amazon S3, AWS Glue, AWS IAM, Amazon VPC, and Amazon CloudWatch; these are not mandatory dependencies.

Managed services are available only when explicitly authorized by the customer and included in the applicable Private Offer or Statement of Work. Typical deliverables may include a documented target architecture, deployment and configuration guidance, proof-of-concept results, performance and operational recommendations, implementation documentation, and enablement for the customer's engineering teams.

Scope, timeline, delivery model, pricing, support levels, and responsibilities are defined in the applicable Private Offer or Statement of Work.

As required for professional services listings, this service discloses its associated product and AWS services: the associated software is the open-source StarRocks database, deployed in the customer's own AWS account on Amazon EC2 or Amazon EKS.