<table name="logo_release" border="0" cellspacing="10" cellpadding="5" align="right"> <tbody> <tr> <td><img src="https://mmx.prnasia.com/media/MS1965012/20260805221901EDT_image_1.jpg?id=OA2945241&amp;p=medium600" border="0" alt="" title="logo" hspace="0" vspace="0" width="118" /></td> </tr> </tbody> </table> 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. <div class="PRN_ImbeddedAssetReference" id="DivAssetPlaceHolder1" style="TEXT-ALIGN: center; WIDTH: 100%"> <a href="https://mmx.prnasia.com/media/MS1987130/20260913222104EDT_image_1.jpg?id=OA2945101&amp;p=medium600" target="_blank" style="color: #0000FF"><img src="https://mmx.prnasia.com/media/MS1987130/20260913222104EDT_image_1.jpg?id=OA2945101&amp;p=medium600" title="" alt="" /></a> </div> 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: <ol type="1"> <li>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.</li> <li>The&nbsp;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.</li> </ol> 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 &quot;Single-Engine&quot; 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 &quot;Being able to run somewhere and being run for you there are two different problems,&quot; said Ethan Yu, Co-founder and CEO of Singdata. &quot;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.&quot; 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: <a href="http://www.singdata.com/" target="_blank" rel="nofollow" style="color: #0000FF">www.singdata.com</a> <div class="PRN_ImbeddedAssetReference" id="DivAssetPlaceHolder2"> </div>

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

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