What Singdata does

Singdata is a Chinese-founded, Singapore-headquartered data infrastructure company that builds Singdata Lakehouse, an AI-ready cloud data platform unifying data warehouse and data lake capabilities on a native Apache Iceberg foundation. The platform is powered by the company's proprietary General Incremental Compute (GIC) architecture, which processes only changed data and merges results with prior output to deliver minute-level data freshness without dedicated stream processing infrastructure, supported by the SPOT framework (Fresh, Scalable, Cost-efficient, Unified). Benchmark claims include 3x faster performance than Snowflake, 9x faster than Spark, and 50% TCO reduction versus traditional data infrastructure.

The product portfolio centers on the Lakehouse core, with sub-products including Lakehouse Studio for data development and governance, AI Lakehouse integrating vector search, full-text search, and SQL-native AI functions (AI_COMPLETE, AI_EMBEDDING), and Analytics Agent for natural language data querying. An AI Gateway provides unified access to multiple LLM providers (OpenAI, Anthropic, Google, Alibaba, Volcengine, self-hosted) with token-based billing. The platform is deployed across seven public clouds (AWS, Alibaba, Tencent, GCP, Huawei, Baidu, Volcengine), with documented integrations for 50+ tools including Kafka, Flink, Spark, dbt, LangChain, LlamaIndex, Tableau, and Power BI.

Singdata operates a hybrid go-to-market combining a self-serve free trial (including AWS Marketplace listing) with direct enterprise sales, targeting data platform and ML engineering teams at large organizations. Revenue derives from usage-based compute billing (CRU-seconds), storage, network, AI Gateway token consumption, and Analytics Agent subscriptions, with annual enterprise contracts and private VPC deployment for larger customers. Named production customers include Kuaishou and Rednote (both processing hundreds of billions of records daily), Atlas (travel), and NinjaVan (logistics). The company is privately held, backed by Granite Asia, and led by co-founder and CTO Tao Guan.

Name

Singdata

Legal name

Singdata, Inc.

Website

https://singdata.com

Company type

Private

Founded year

2021

Operating status

Operating

Headcount range

51–100 employees

Short description

Singdata builds an AI-ready cloud Lakehouse platform on Apache Iceberg, unifying data warehouse and lake workloads with proprietary incremental compute. It serves enterprise data and ML engineering teams across seven public clouds, with named customers including Kuaishou, Rednote, Atlas, and NinjaVan.

Ownership category

akta.pro rank

Product category

Cloud Data Platform

NAICS

Software Publishers (513210)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Lakehouse Platforms (HDAEABAB)

akta.pro secondary industries

Data Lake Platforms (HDAEABAC), Data Warehouse/Lakehouse Performance Optimization & Cost Management (HDAEABAL), Data & Analytics Platforms (Data Warehousing, Lakes, Streaming) (HDABAAAF)

Keywords

• Cloud data platform
• Data lakehouse
• Incremental compute
• AI data infrastructure
• Real-time analytics

Headquarters

HQ city

Singapore

HQ country

Singapore

HQ region

Asia

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Operations, Marketing or Sales

Revenue model

1. Lakehouse Compute, Storage, and Network: Pay-as-you-go billing model where customers pay for actual compute resource consumption (measured in CRU-seconds/hours), storage usage, and network data transfer. Usage-based consumption with no upfront commitment.
2. AI Gateway Token Billing: Token-based billing for unified access to mainstream LLMs including OpenAI, Anthropic Claude, Qwen, DeepSeek, GLM, Kimi, MiniMax. Unit prices vary by model provider.
3. Analytics Agent Subscription: Subscription-based pricing with pay-as-you-go token billing and overage tiered fees for high-volume usage. Includes base subscription plus consumption-based token charges.
4. Enterprise Annual Contracts: Annual prepayment options with discounts and private deployment (VPC on-premise) support for enterprise customers requiring dedicated infrastructure.

Pricing tiers

Go-to-market motion3 records

Distribution channels3 records

Marketing channels5 records

Core offering

Singdata sells Singdata Lakehouse, an AI-ready cloud data platform that unifies data warehouse and data lake capabilities on Apache Iceberg. It is powered by the proprietary General Incremental Compute (GIC) engine, which processes only changed data to deliver minute-level data freshness and benchmark-verified performance of up to 3x faster than Snowflake and 9x faster than Spark. The product is complemented by Lakehouse Studio for data development, AI Lakehouse for native AI integration (vector search, AI Gateway, SQL-based AI functions), and Analytics Agent for natural language data analysis.

Product overview

Singdata is a data technology company offering Singdata Lakehouse, a unified AI-ready cloud data platform that provides holistic simplified data infrastructure with integrated analytics capabilities. The product portfolio centers on Singdata Lakehouse as the core platform, augmented by specialized modules including Lakehouse Studio (data development and management), AI Lakehouse (native AI capabilities integration), and Analytics Agent (natural language data analysis). The platform is powered by General Incremental Compute (GIC) technology that enables near real-time data processing by combining batch processing scale with streaming responsiveness. Key AI features include Vector Search for semantic retrieval and RAG workflows, AI Functions (AI_COMPLETE, AI_EMBEDDING) for LLM integration in SQL, and AI agents (Data Engineering Agent, Data Analytics Agent) for natural language-driven data operations. The platform supports enterprise deployment via SaaS Solution, Spark Replacement for migration scenarios, and IoT Data Management for specialized workloads, deployed across seven public clouds including AWS, Alibaba Cloud, Tencent Cloud, GCP, Huawei Cloud, Baidu AI Cloud, and Volcengine.

Differentiator

Problem solved

Functional benefit

Brands

• Lakehouse Studio: Data management platform for ingestion, transformation, and governance
• AI Lakehouse
• Analytics Agent

Products and services

• Singdata Lakehouse AI-ready cloud data platform that unifies data warehouse and data lake capabilities in a single Lakehouse architecture. Built natively on Apache Iceberg, it provides a unified SQL engine for batch, streaming, and interactive analytics, powered by the proprietary General Incremental Compute (GIC) engine for minute-level data freshness. Marketed as 3x faster than Snowflake and 9x faster than Spark with 50% reduction in TCO, sold to enterprise data platform and analytics teams.
• Lakehouse Studio Data development and management interface within the Singdata Lakehouse platform. Provides SQL development, data pipeline creation, task scheduling, and DAG orchestration for enterprise data engineering workflows.
• AI Lakehouse AI-enhanced module within Singdata Lakehouse that integrates AI capabilities natively into the data platform. Enables calling large language models, running vector search, building RAG pipelines, and performing SQL-based AI operations directly on Lakehouse data without moving it to external AI platforms.
• Analytics Agent Natural language-powered data analysis module of Singdata Lakehouse. Enables business users to query, analyze, forecast, and build dashboards through conversational interfaces with subscription plus token overage hybrid pricing.
• General Incremental Compute (GIC) Next-generation data processing architecture standard that combines the scale of batch processing with the real-time responsiveness of streaming. Processes only changed data portions and merges results with previous states to deliver near real-time analytics. Introduced as a new data processing architecture standard supported by the SPOT framework.

Quantifiable outcome

• 3x faster performance than Snowflake, 9x faster than Spark
• +9 more outcomes

Named customers4 records

Segments4 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration46 records

AI capability8 records

Feature13 records

Partnerships

Five partnerships are on record, tiered core.

• AWS (Amazon Web Services)coreTechnology or IntegrationSingdata Lakehouse is deployed and available on AWS with dedicated documentation for storage connections, private network connections, and permission configuration. Free trial available on AWS Marketplace. AWS Singapore region supported with specific pricing ($0.0044 CRU/Second for XLarge compute cluster).
• Alibaba CloudcoreTechnology or IntegrationSingdata Lakehouse is deployed on Alibaba Cloud with dedicated documentation for Shanghai and Beijing regions. Used as primary test environment for TPC-DS, TPC-H, and SSB benchmarks. Supports MaxCompute integration and OSS object storage.
• Tencent CloudcoreTechnology or IntegrationSingdata Lakehouse deployed on Tencent Cloud with dedicated documentation for storage connections and private network configuration.
• Apache KafkacoreTechnology or IntegrationNative Kafka Connector enables real-time message stream writing to Lakehouse. Built-in Kafka connectivity supports standardized SQL across real-time ETL, batch ETL, and interactive analytics.
• Apache IcebergcoreTechnology or IntegrationSingdata Lakehouse is natively based on Apache Iceberg. All tables stored in Iceberg format supporting time travel, partition evolution, schema evolution, and cross-engine access. Enables open format foundation avoiding vendor lock-in.

Scale indicators10 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Snowflake: Snowflake is the leading cloud data warehouse and the primary competitor Singdata benchmarks against. Both offer SQL-based cloud analytics with separation of compute and storage, and Snowflake has been adding lakehouse features (Iceberg Tables, Dynamic Tables) that directly compete with Singdata Lakehouse.
• Databricks: Databricks pioneered the Lakehouse architecture (Delta Lake) and is the most direct Lakehouse competitor. Both target unified analytics combining data warehouse, data lake, and AI workloads, with Singdata explicitly positioning itself on cost and performance versus Databricks.
• Apache Doris: Apache Doris is an open-source real-time analytical database with strong adoption in China. Shares comparable positioning with Singdata as a high-performance SQL engine for real-time analytics, and both target Chinese enterprise data infrastructure buyers.
• ClickHouse: ClickHouse is a high-performance columnar OLAP database competing on query speed and cost efficiency. Singdata benchmarks against ClickHouse on SSB workloads, and one of its named customers (Atlas) migrated from a ClickHouse-based architecture to Singdata Lakehouse.
• StarRocks: StarRocks is a high-performance MPP analytical database originally forked from Apache Doris that supports Lakehouse use cases. Competes directly on sub-second analytics at scale with similar cost-performance positioning in the Asian market.
• Dremio: Dremio is a Lakehouse platform built on Apache Arrow and Iceberg, providing a SQL query engine over open data lakes. Competes directly with Singdata on unified analytics and Iceberg-native Lakehouse positioning.
• Trino: Trino (formerly PrestoSQL) is a distributed SQL query engine for federated analytics over data lakes and warehouses. Singdata explicitly benchmarks against Trino (9.84x faster on TPC-H) as a direct performance competitor in the open query engine category.

Emerging players

• RisingWave: RisingWave is a streaming database for real-time data infrastructure, also founded by ex-Alibaba engineers in Singapore. Competes on similar real-time Lakehouse workload territory and shares comparable Asian engineering pedigree and Singapore base.
• Firebolt: Firebolt is a cloud data warehouse focused on sub-second analytics at high concurrency, positioning on performance and cost similar to Singdata. Both target displacement of Snowflake with performance-led value propositions in the enterprise analytics market.

Broad incumbents

• Google BigQuery: BigQuery is Google's serverless cloud data warehouse and a named comparison target for Singdata. As part of Google Cloud Platform, BigQuery offers broader ecosystem integration and incumbency advantages but lacks Singdata's Iceberg-native open format foundation.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

• Xx.com/singdata_cloud
• LinkedInlinkedin.com/company/singdata

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Singdata