Aloudata BIG Active Metadata Platform

Aloudata (Da Ying Technology) is a Chinese data management software company led by founder and CEO Zhou Weilin, a former head of Ant Group's data platform department, and backed by Sequoia China Seed Fund and Boha Capital. It promotes a NoETL approach built on data virtualization, active metadata and a semantic layer, with four products: AIR, BIG, CAN and a data analysis agent.

Aloudata BIG is its active metadata platform. It parses SQL at operator level, covering filters, joins and aggregations, to build precise column and row lineage across databases, ETL schedulers and BI tools. On this foundation it automates metadata collection, real-time lineage tracking, impact analysis of schema or logic changes, data asset inventory and policy-driven proactive governance, and exposes metadata through unified APIs. Reference users include China Merchants Bank, Hangzhou Bank and a large insurer.

• Operator-level lineage: Parses SQL filters, joins and aggregations to trace data at column and row level.
• Automated metadata collection: Harvests metadata from databases, schedulers and BI tools.
• Impact analysis: Shows which tables, metrics and reports are affected by a change before release.
• Proactive governance: A metadata policy engine flags risky events automatically.
• Data asset inventory: Builds an inventory of data assets and their usage.
• Unified metadata APIs: Exposes lineage and metadata to other platforms such as Aloudata CAN.

A Vietnamese bank with an Oracle and Hive data warehouse can map lineage from core systems to regulatory reports and check the impact of ETL changes before deployment. A securities firm or insurer can inventory data assets and identify unused tables to cut storage and compute costs.

Operator-level parsing gives more precise lineage than table or column mapping, so impact analysis flags fewer false alarms; the vendor claims over 99% parsing accuracy and over 99% impact-analysis recall. Change impact can be checked before releases, reducing broken downstream reports. A leading insurer reports a tenfold improvement in data asset inventory efficiency.

Banks and large enterprises must prove data lineage for regulatory reporting and want trustworthy metadata before connecting data to large language models. Precise, automated lineage over complex SQL estates on Oracle, Hive, Spark and distributed databases is in demand, a pattern also seen in Southeast Asian banks that run similar legacy and big data stacks.

Aloudata raised an angel round of tens of millions of RMB from Sequoia China Seed Fund in May 2021 and a Pre-A round led by Boha Capital in September 2021, and has a subsidiary in Chengdu. It says it has served more than 30 listed companies and holds ISO 9001 and ISO 27001 certifications. In September 2025 IDC named it a core vendor in its China Data Infrastructure for Generative AI assessment.