The Alibaba Cloud Big Data AI Platform builds on Alibaba’s leading cloud infrastructure, big‑data and AI engineering capabilities, scenario algorithms, and extensive industry experience to offer enterprises and developers a one‑stop, cloud‑native big‑data and AI capability suite. It boosts AI development efficiency, enables large‑scale AI deployment across industries, and drives business value.
Lazada transformed its e‑commerce product selection by building a unified, real‑time platform on Alibaba Cloud Flink and Hologres, overcoming data silos, freshness delays, and high‑throughput challenges to enable millisecond‑level decisions across six Southeast Asian markets.
In this detailed case study, Alibaba’s Ele.me team explains how they evolved from siloed, chimney‑style real‑time warehouses to a unified Flink‑Paimon lakehouse, highlighting the three development stages, technology evaluations, the Alake platform’s one‑stop capabilities, production results, and future directions such as Fluss and AI integration.
Facing minute‑level decision demands and billions of marketing events during Taobao's Flash Sale, the Ele.me data team built a real‑time lakehouse with StarRocks and Paimon, leveraging asynchronous materialized views, RoaringBitmap de‑duplication, and resource isolation to achieve sub‑second query latency, lower storage costs, and stable high‑concurrency.
At VLDB 2025, three Alibaba Cloud papers were accepted: one introduces a disaggregated state‑management architecture for Flink 2.0 that separates storage from compute, another presents a cross‑contrastive learning framework for unsupervised Flink anomaly detection, and the third proposes a multimodal ranking system for identifying root causes of slow queries in cloud databases.
This article details how a leading Southeast Asian tech group migrated its real‑time write workloads from Google BigQuery to MaxCompute using MaxCompute Streaming Insert, covering architecture, core features, migration challenges, optimization strategies, business impact, and future enhancements.
Alibaba Cloud’s DB‑Surfer NL2SQL agent combines task‑planning, metadata linking, and a modular architecture to achieve state‑of‑the‑art performance on the Spider 2.0‑Snow benchmark and is now integrated into DataWorks Copilot, dramatically improving enterprise data query efficiency.
This article outlines MaxCompute's decade‑long evolution—from the early PyODPS SDK to the native Distributed Python Engine—highlights the challenges big‑data platforms face in the AI era, and showcases Data+AI solutions and real‑world case studies across multimodal processing, massive text deduplication, and autonomous‑driving data pipelines.
This article details how a leading Southeast Asian tech group migrated from BigQuery to MaxCompute, designing a multi‑tenant big data platform with separate control and data planes, addressing cross‑account access, governance, and cost challenges on Alibaba Cloud.
This case study details how Hypergryph leveraged Alibaba Cloud EMR Serverless StarRocks, Flink, and Kafka to replace a ClickHouse data warehouse with a high‑performance, elastic, and easy‑to‑operate real‑time analytics platform that dramatically improved query speed, stability, operational efficiency, and cost for their gaming business.
This article explains how Alibaba Cloud OpenSearch LLM version evolved from RAG 1.0 to RAG 2.0, introducing the DeepSearch multi‑agent architecture that combines offline data processing, online query handling, planning, clarification, search, and summarization agents to deliver more accurate and complex AI‑driven answers.
