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Tencent Big Data Suite

Paid#21 of 23 in Data Lakehouse Platforms

Tencent Big Data Suite: A Hadoop-compatible lakehouse suite for large-scale enterprise data workloads. Ranked #21 of 23 in Data Lakehouse Platforms by our editors (6.8/10); pricing: Pricing on request; best for large Hadoop-compatible enterprise environments.

6.8/10Editor score

Visit Tencent Cloud

Tencent Big Data Suite6.8 Visit Tencent Cloud

At a glance

Editor score
6.8 / 10
Pricing
Pricing on request
Best for
Large Hadoop-compatible enterprise environments
Storage model
Both
Founded
1998 · Shenzhen, China
Facts checked
20 Sep 2026

Where it wins
- Unifies lakehouse storage and computation across real-time and offline workloads
- Supports Hadoop, SQL, Cloud Object Storage, Iceberg, and open APIs
- Includes encryption, desensitization, access control, and auditing controls
Where it doesn't
- Pricing requires a sales conversation
- The product is oriented toward large-scale enterprise environments
- Standard integrations are not described

Our verdict on Tencent Big Data Suite

Tencent Big Data Suite (TBDS) is an enterprise data platform for storage, computation, analysis, and lakehouse workloads. It is designed for organizations building large-scale data warehouses, data lakes, lakehouses, business intelligence systems, and AI-integrated data applications. Its Hadoop-compatible technology stack supports structured and unstructured data, while its storage layer covers both lakehouse storage and computation needs. TBDS also supports SQL analytics, ACID transactions, open table formats, and streaming ingestion.

Purchasing is sales-led: the published commercial model uses license and technical support fees, with costs handled through contact with sales. The platform supports IDC deployment, and its product description also covers cloud-native lakehouse scenarios. Standardized open APIs provide an integration surface, while Hadoop ecosystem compatibility can help organizations align TBDS with existing Hadoop-oriented environments. Buyers evaluating the platform should therefore assess how its APIs, deployment model, and Cloud Object Storage and Iceberg architecture fit their current data stack.

TBDS stands out through its breadth across storage, computation, metadata management, and workload processing. Elastic scaling applies to storage and computing resources, and governance controls include encryption, desensitization, access control, and auditing. These capabilities make it a strong candidate for large enterprise environments that need unified data operations and governance across real-time and offline workloads. Smaller teams or buyers seeking self-serve plans and a narrow, simpler data-lakehouse tool may prefer a more focused alternative.

Your product? Our editors can test Tencent Big Data Suite in depth and publish a review, labelled as paid · from $149/mo →

Tencent Big Data Suite pricing

Plans Pricing on requestPaid No free plan — trial or paid only. Prices checked 20 Sep 2026.

See plans on software.tencentcloud.com

Tencent Big Data Suite fact sheet

Free plan	Not verified
Paid from	Not verified
Storage model	Both
SQL analytics	Yes
ACID transactions	Yes
Table format support	Open
Streaming ingestion	Yes
Governance catalog	Not verified
Deployment	Self-hosted
Support	Tickets, Docs
Built for	Mid-market, Enterprise (editorial estimate)
Pricing	Pricing on request
Website	software.tencentcloud.com
Facts checked	20 Sep 2026

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Featured on iTechGuides

Tencent Big Data Suite is listed in our Data Lakehouse Platforms directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Last updated 7 Oct 2026 · How we research and update