# Singdata Delivers True Multi-Cloud Data Freedom: Fully Managed Lakehouse SaaS Now Live Across 8 Global Clouds and 3 CPU Architectures

- Link: https://www.thailand-business-news.com/pr-news/singdata-delivers-true-multi-cloud-data-freedom-fully-managed-lakehouse-saas-now-live-across-8-global-clouds-and-3-cpu-architectures
- Published: 2026-09-15T09:00:00+07:00
- Author: PR Newswire

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_By bridging native SaaS simplicity with seamless cross-cloud flexibility, Singdata
eliminates the high operational complexity of open-source engines and the regional
limits of legacy cloud data warehouses._

SINGAPORE, Sept. 15, 2026 /PRNewswire/ — Singdata, a pioneer in next-generation 
enterprise AI-native data infrastructure, today announced the full-spectrum availability
of the Singdata Lakehouse across **8 major global cloud platforms** and **3 computing
hardware architectures**.

 [](https://mmx.prnasia.com/media/MS1987130/20260913222104EDT_image_1.jpg?id=OA2945101&p=medium600)

Enterprises can now deploy Singdata’s fully managed SaaS platform natively across
Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, Alibaba
Cloud, Tencent Cloud, Volcano Engine, Huawei Cloud, and Baidu AI Cloud, with full
compatibility for Intel, AMD, and ARM CPU architectures.

**Solving the Modern Multi-Cloud Dilemma**

As global enterprises expand across continents, multi-cloud and hybrid-cloud infrastructure
has shifted from an architectural option to an operational imperative. However, 
data engineering teams have traditionally been forced to choose between two imperfect
compromises:

 1. **The Open-Source Operational Trap:** While open-source engines (such as StarRocks
    or ClickHouse) are technically portable across clouds, achieving true multi-cloud
    operational parity requires massive engineering toil. Teams end up bearing the 
    burden of complex infrastructure orchestration, hardware tuning across disparate
    CPU architectures, manual patch management, and rising TCO—effectively replacing
    cloud vendor lock-in with heavy operational lock-in.
 2. **The Cloud-SaaS Coverage Gap:** On the other hand, legacy SaaS data platform giants
    like Snowflake and Databricks offer managed simplicity, but remain closely bound
    to three primary Western cloud providers. They lack native depth across critical
    regional clouds in Asia-Pacific and emerging markets, often falling short on dedicated,
    localized technical support and regional operational resource allocation.

Singdata bridges this gap by delivering the best of both worlds: **the low-touch
simplicity of a fully managed SaaS platform combined with true, cloud-agnostic deployment
freedom.**

**Single-Engine Power: Proven Performance at Massive Scale**

Built from the ground up on Singdata’s proprietary "Single-Engine" architecture 
and advanced Generic Incremental Compute (GIC) technology, Singdata Lakehouse unifies
data lake open storage with data warehouse analytical performance. By standardizing
query engines, SQL syntax, and governance models across 8 cloud environments and
Intel, AMD, and ARM processors, Singdata ensures that enterprise workloads run with
identical performance and developer experience anywhere.

These enterprise-grade capabilities are already proven at massive scale. Leading
content discovery giant **REDNOTE** leverages Singdata Lakehouse to support its 
massive-scale real-time data analytics. By adopting Singdata, REDNOTE has drastically
cut data processing latencies and lowered total operational costs without managing
underlying infrastructure complexity.

**Rethinking Cloud Freedom**

"Being able to run somewhere and being run for you there are two different problems,"
said Ethan Yu, Co-founder and CEO of Singdata. "Open-source engines solved the first
one a long time ago. What took years was building the managed version of that same
engine so it behaves identically across eight clouds and three chip architectures,
so customers get both at once instead of trading one for the other."

As enterprise data strategies increasingly intersect with multi-cloud requirements
and generative AI workloads, Singdata will continue deepening its ecosystem partnerships
with global cloud vendors and hardware manufacturers to provide an open, performant,
and future-proof AI+Data foundation.

**About Singdata**

Singdata is an enterprise AI-native data infrastructure company headquartered in
Singapore, with engineering centred in Hangzhou, China. Its proprietary AI Lakehouse,
powered by Generic Incremental Compute (GIC), bridges the last mile between enterprise
data and AI. Singdata is a core contributor to the Apache Iceberg open standard 
and is committed to becoming a trusted Data + AI infrastructure platform for Asia-
Pacific.

Website: [www.singdata.com](http://www.singdata.com/)

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**Read the original article :** [Singdata Delivers True Multi-Cloud Data Freedom: Fully Managed Lakehouse SaaS Now Live Across 8 Global Clouds and 3 CPU Architectures ](http://www.prnasia.com/story/archive/5046683_AE46683_0?rand=184833)