Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

Tencent Cloud Oceanus

#24 of 25 in Streaming Analytics Software

Tencent Cloud Oceanus: A managed Flink service for teams building real-time analytics in Tencent Cloud. Ranked #24 of 25 in Streaming Analytics Software by our editors (7.0/10); pricing: Paid; best for managed Flink processing in Tencent Cloud.

7.0/10Editor score
Tencent Cloud Oceanus7.0 View Oceanus

At a glance

  • Editor score
    7.0 / 10
  • Pricing
    Paid
  • Best for
    Managed Flink processing in Tencent Cloud
  • Free plan
    No
  • Paid from
    5,376 CNY/mo
  • Deployment
    Cloud
  • Founded
    1998 · Shenzhen, China
  • Facts checked
    21 Sep 2026
Tencent Cloud Oceanus screenshot
  • Where it wins

    • Supports SQL, JAR, Python, and ETL job workflows
    • Includes monitoring, diagnostics, checkpoints, and recovery
    • Offers SQL Gateway access through REST, HiveServer2, and PostgreSQL
  • Where it doesn't

    • No free plan is available
    • Monthly pricing starts at 2,352 CNY
    • Listed integrations focus on a defined set of Tencent and data services

Our verdict on Tencent Cloud Oceanus

Tencent Cloud Oceanus is a managed, cloud-based stream processing service built on Apache Flink. It is designed for organizations that need continuously updated analytics, monitoring, reporting, querying, and other real-time data workloads without operating the underlying stream-processing infrastructure. Teams can develop and run SQL jobs, deploy JAR jobs, create Python and ETL jobs, and manage operations through WebIDE or cloud APIs. Flink compatibility, event-time processing, stateful processing, exactly-once processing, and watermarks support streaming workloads that require more than basic event transport.

The published plans show three monthly configurations. Full-Managed Renewal, 12 CU costs 2,352 CNY per month; Standard Real-Time Big Data Processing, 30 CU costs 5,376 CNY per month; and High-Performance Real-Time Big Data Processing, 60 CU costs 10,080 CNY per month. Each plan highlights a managed stream-processing cluster, so the main stated difference is capacity configuration rather than a separate feature package. There is no free plan. This structure fits teams that can budget for managed processing and want to select among defined CU levels, while it is less suitable for evaluating the service without a paid commitment or for buyers seeking a broad range of separately itemized tiers.

Oceanus connects through connectors to queues, databases, warehouses, storage, and external systems. Listed integrations include CKafka, MySQL, ClickHouse, Elasticsearch Service, COS, and self-built open-source big data components. Operational coverage includes job monitoring, logs, metrics, alerts, diagnostics, checkpoint and snapshot creation and recovery, plus SQL Gateway protocols for REST, HiveServer2, and PostgreSQL. Choose Oceanus when managed Apache Flink processing, Tencent Cloud operations, and multiple job languages are central requirements. Consider another option if your priority is a free tier or an ecosystem beyond the listed integration set.

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

Tencent Cloud Oceanus pricing

Plans Paid No free plan — trial or paid only. Prices checked 21 Sep 2026.
See plans on cloud.tencent.com

All 3 Tencent Cloud Oceanus plans and prices →

Tencent Cloud Oceanus fact sheet

Free planNo
Paid from5,376 CNY/mo
DeploymentCloud
SQL interfaceYes
Event-time processingYes
Stateful processingYes
Exactly-once processingYes
WatermarksYes
Supported languagesSQL, Java, Scala, Python
DeploymentCloud
PlatformsWeb
Compliance & securitySSO/SAML
SupportDocs · 24/7
Built forSmall business, Mid-market, Enterprise (editorial estimate)
Integrations6 integrations: CKafka, MySQL, ClickHouse, Elasticsearch Service, COS, 自建开源大数据组件
PricingPaid (source)
Websitecloud.tencent.com
Facts checked21 Sep 2026

Tencent Cloud Oceanus integrations

Tencent Cloud Oceanus lists 6 integrations on its own site.

  • CKafka
  • MySQL
  • ClickHouse
  • Elasticsearch Service
  • COS
  • 自建开源大数据组件

Alternatives to Tencent Cloud Oceanus

See all Tencent Cloud Oceanus alternatives →

Used Tencent Cloud Oceanus? Be the first to review it

The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used Tencent Cloud Oceanus for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.

Write a reviewTwo minutes · verified accounts only · read by an editor before it appears

Reviews come only from verified accounts. Sign in or create an account first — your e-mail is never shown.

Your rating

0 characters · at least 80, up to 3,000

Posted from your verified account. Reviews appear after an editor reads them, usually within two working days.

Featured on iTechGuides

Featured on iTechGuides — Tencent Cloud Oceanus 7.0/10

Tencent Cloud Oceanus is listed in our Streaming Analytics Software directory. Add the badge to your site — it links back to this page.

<a href="https://www.itechguides.com/products/tencent-cloud-oceanus/"><img src="https://www.itechguides.com/best/badge/tencent-cloud-oceanus.svg" alt="Featured on iTechGuides" width="230" height="46"></a>

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 · How we research and update