
1. Technology overview
Singdata is a Singapore-headquartered AI and data infrastructure company that builds a lakehouse for enterprises in Asia-Pacific. It addresses the cost and complexity of running separate batch, streaming and analytics stacks, and aims to make enterprise data usable by AI agents.
Singdata Lakehouse runs on a self-developed Generic Incremental Compute engine, separates storage from compute and keeps data in open Apache Iceberg tables in customer-controlled object storage. It is offered as SaaS, BYOC, in a VPC or self-managed, on AWS, Azure, Google Cloud, Alibaba Cloud, Tencent Cloud, Huawei Cloud and private infrastructure. Users work through Lakehouse Studio, SQL, JDBC, Python, Java, REST, a CLI and MCP, supported by a Data Engineering Agent, an Analytics Agent, an AI Gateway and a shared semantic layer. Customers include Ninja Van, RedNote and Kuaishou.
2. Highlighted features & specifications
- Incremental compute engine: Processes only changed data to unify batch and near real-time pipelines.
- Open Iceberg storage: Tables stay in customer-controlled object storage.
- Lakehouse Studio: Visual workspace for SQL, Python and pipeline development.
- AI agents: Data Engineering Agent and Analytics Agent turn natural-language requests into pipelines, SQL and charts.
- Semantic layer: Shared metrics, dimensions and verified queries for BI, APIs and agents.
- Governance: Permissions, lineage, audit records and approval steps for sensitive actions.
3. Potential application
A Vietnamese logistics company can consolidate shipment and operations data into an Iceberg lakehouse, following the Ninja Van model. A retailer or brand can let business users ask sales questions in natural language and get SQL-backed charts. An automaker or manufacturer can process connected-vehicle or machine data incrementally.
4. Benefits
Vendor-reported results include 6x faster performance than Spark on a 10 TB TPC-DS benchmark, a 65% lower total platform cost at Ninja Van and sub-second queries over 500 TB at Shumei. Open Iceberg storage in the customer's own object store avoids lock-in, and support for seven clouds lets companies stay on their current provider. A free trial with credits is available without a credit card.
5. Market trends & opportunities
Asian enterprises are moving from Hadoop and Spark stacks to cloud lakehouses on open formats, often across several cloud providers including regional ones. Generative AI adds pressure to prepare governed, well-described data that agents can query safely.
6. Other information
Headquartered in Singapore; CEO Ethan Yu. Core contributor to Apache Iceberg. Holds SOC 2 and ISO 27001:2022 and is listed on AWS Marketplace. Named one of 12 founding partners of Synagie's Geene 2.0 commerce AI platform in August 2026.
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