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引言

区块链项目上线，第一步搭链就卡住了：节点部署、共识配置、智能合约编译、链上链下数据同步——每块都有坑。自建联盟链的运维成本不亚于自建数据库集群。BaaS（Blockchain as a Service）就是把这套基建打包：一键创建联盟链、可视化智能合约管理、链上数据查询、节点自动扩容。2026 BaaS区块链哪家好？这篇文章从链类型、智能合约管理、节点性能三个维度对比 7 家方案。

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" alt="BaaS区块链封面" style="max-width:100%"/>

BaaS区块链是什么

BaaS（Blockchain as a Service）是云厂商提供的区块链基础设施服务，支持联盟链（Hyperledger Fabric/百度超级链/长安链等）和公有链（以太坊等）的托管。核心能力：一键创建联盟链、节点管理（增删节点/扩容）、智能合约部署和版本管理、链上数据查询、API 调用（交易提交/查询）。用户不需要懂共识算法和 P2P 网络，专注业务逻辑。

BaaS区块链的适用场景

用得最多的是这几类：一是供应链金融，多方（核心企业、供应商、金融机构）链上存证和账款流转；二是溯源，农产品/奢侈品/药品的全链路溯源，确保数据不可篡改；三是数字身份，政务、教育、医疗领域的身份认证和授权管理；四是跨境贸易，海关、物流、银行多方链上协同，减少纸质单据。

7 家BaaS区块链怎么选

服务商	关键参数	报价	适合谁
一万网络	支持Fabric/长安链，一键创建联盟链，可视化合约管理，节点弹性扩容	中等	中小团队到中大型企业，预算敏感又想要托管省心
阿里云BaaS	Fabric/蚂蚁链支持，与DataHub/函数计算联动	较高	阿里生态、供应链金融用户
天下数据	Fabric/长安链，一键创建联盟链，可视化合约管理，API调用	中等	溯源/供应链金融/数字身份项目
腾讯云TBaaS	Fabric/长安链，与微搭/小程序打通	较高	小程序+区块链场景
华为云BCS	国密算法，等保合规，政务区块链方案	较高	政企、政务区块链
AWS Managed Blockchain	Hyperledger Fabric/以太坊，全球部署	高	出海业务、AWS生态
百度超级链BaaS	自研链，支持BIF，国内BaaS先行者	中等	国内区块链项目、百度生态

选型核心指标

• 链类型：支持哪些底层链（Fabric/长安链/以太坊）？是否支持国密算法？链类型决定了生态和合规性。
• 智能合约管理：能否可视化部署/升级智能合约？合约版本管理是否清晰？合约调用是否支持多语言 SDK（Java/Go/Python/Node.js）？
• 节点性能：单链 TPS 多少？节点扩容需要多长时间？链上数据查询延迟多少？
• 链上链下协同：链上存证、链下存储（如 OSS）的协同方案是否成熟？大文件不能直接上链，需要链上哈希+链下存储。

避坑提醒

• 只支持单一链：有些 BaaS 只支持 Fabric，但客户指定用长安链——选型时确认支持的链类型。
• 合约升级困难：合约版本管理不清晰，升级后旧合约状态丢失——可视化版本管理和平滑升级能力必须确认。
• 大文件直接上链：链上存储成本极高，大文件应该上链哈希+链下存储——选型时确认链上链下协同方案。

一万网络BaaS区块链方案

指标	一万网络方案
链类型	支持 Fabric/长安链，国密算法，合规审计
合约管理	可视化部署/升级，版本管理清晰，多语言 SDK
节点性能	单链 TPS 2000+，扩容 5 分钟，查询延迟 < 200ms
链上链下	链上哈希+链下存储协同方案，大文件不上链

区块链项目成败一半在业务逻辑、一半在底层基建。选对 BaaS，不用自己折腾共识算法和 P2P 网络。欢迎咨询一万网络，获取定制化区块链方案。