仅欧洲替代方案 Snowflake.

Snowflake is the cloud data warehouse that won the analytics market through separation of compute and storage, with EU regions on AWS, Azure or GCP. Snowflake Inc. is a Delaware corporation; the EU regions live on US-hyperscaler infrastructure - meaning two layers of US jurisdiction. For analytics workloads on EU customer data, Schrems II compliance is genuinely difficult on Snowflake. The sovereign alternatives are: ClickHouse (open-source columnar warehouse), DuckDB (embedded analytics), or PostgreSQL with appropriate columnar extensions - all deployable on EU sovereign infrastructure.

United States 仅限 EU 的替代技术栈 10 已梳理的服务
预约通话 先扫描您的域
供应商
Snowflake
总部
Bozeman, MT
司法管辖区
United States
法律制度
CLOUD Act, FISA 702

"欧盟区域"不等于主权。四个问题决定一切。

数据驻留告诉你数据存放在哪里。主权则告诉你哪个法律体系可以强制访问。这四点的答案必须都成立 - 否则该技术栈就不具备主权性。

驻留

数据物理存储在哪里?

不只是笼统的“在云端” - 而是具体在哪个数据中心、哪个国家、受哪种司法管辖。

次级处理者

您的数据路径中还有谁?

每一个接触数据的供应商:CDN、邮件中继、错误追踪、分析管道。

司法管辖区

哪些法律可以强制披露?

总部位于美国的提供商受 FISA 702 和 CLOUD Act 管辖 - 即使数据存放在法兰克福也不例外。

密钥托管

谁实际持有加密密钥?

如果云服务商同时持有数据和密钥，无论签订何种 DPA，数据对其而言都是可读的。

失败 AWS · Azure · GCP · EU 区域

在司法管辖权和密钥托管上失败。

欧盟数据、美国母公司、默认路径中的美国次级处理者、供应商管理的密钥。

通过 Binadit 托管技术栈

四项全部通过。

托管在欧盟、由欧盟总部基础设施提供。默认路径中零美国次级处理者。客户持有或欧盟 KMS 密钥。在您的第 28 条 DPA 中按名称列出。

为什么团队正在退出 Snowflake

Snowflake exits we have scoped come from regulated workloads where the analytics warehouse holds personal data of EU customers, and the Schrems II analysis fails on multiple layers. The unique migration challenge: data warehouses are large, queries are complex, and dbt / Looker / Tableau pipelines need re-pointing. The honest answer for a Snowflake exit is 3-6 months of careful work, not a quick swap. Where the savings are: Snowflake credits at scale ($20k-100k+/month is common) compress to ClickHouse on EU bare metal at a fraction.

Snowflake 服务及其仅欧盟等效方案

迁移不是"换一个盒子"。下面的映射是我们为离开以下平台的客户运行的 Snowflake 基于 Schrems II 的考量 - 完全适用欧盟司法管辖，数据链路中不涉及美国母公司。

Snowflake compute (warehouses)

我们改用什么
Binadit 托管云平台。ClickHouse 或带列式扩展的 PostgreSQL，使用 dbt 建模。
工程说明
对于 OLAP 工作负载，ClickHouse 是最强的自主可控替代方案。对于临时查询工作负载，基于 EU 对象存储的 Trino 是典型的 lakehouse 模式。

Snowflake storage

我们改用什么
Binadit 托管云平台。分层 MinIO 或 Ceph 存储池，通过生命周期规则将冷数据迁移至更廉价的磁盘。
工程说明
对于湖仓一体架构，可采用兼容 S3 的欧盟存储作为数据层，并以 ClickHouse 或 Trino 作为查询引擎。

Snowpipe (continuous ingestion)

我们改用什么
Binadit 托管云平台。Kafka 或 Redpanda 数据流入 ClickHouse，通过 dbt 编排。
工程说明
对于基于 Kafka 的数据接入，ClickHouse 提供原生 Kafka 引擎；对于批量数据接入，可在欧盟计算资源上使用 Airflow。

Streams & Tasks

我们改用什么
Binadit 托管云平台。PostgreSQL 触发器与 LISTEN/NOTIFY，或使用 Kubernetes CronJobs 执行定时任务。
工程说明
ClickHouse 中的物化视图涵盖了大多数“Stream”用例。

Snowpark (Python/Scala in DB)

我们改用什么
Binadit 托管云平台。PostgreSQL 配合 PL/Python，或在数据库旁部署 Python worker。
工程说明
对于在数据仓库层进行机器学习和特征工程，在欧盟计算资源上使用 PySpark 是标准方案。

Time Travel + Zero-Copy Cloning

我们改用什么
Binadit 托管云平台。pgBackRest 时间点恢复，配合 ZFS 或 Ceph 快照实现即时克隆。
工程说明
Snowflake 的 Time Travel 是一项独特功能；ClickHouse 的快照提供了较为粗略的等效方案。

Secure Data Sharing

我们改用什么
Binadit 托管云平台。只读副本、签名导出，或在数据集前设置受限范围的 API。
工程说明
Secure Data Sharing 没有直接的等效方案；迁移需要重新设计数据共享模式。

Snowflake Marketplace

我们改用什么
Binadit DevOps & Support。您实际使用的组件，作为您技术栈的一部分进行部署和运维。
工程说明
对于您目前通过 Marketplace 订阅的数据集，通常需要与供应商直接签订合同。

Snowflake Cortex (LLMs)

我们改用什么
Binadit Private Infrastructure。在专用 GPU 硬件上自托管开放权重模型，通过 vLLM 或 Ollama 提供服务。
工程说明
Cortex 出现时间不长；自主可控的 EU LLM 领域（Mistral、Aleph Alpha）已成熟为真正可行的替代方案。

BI tool integrations (Tableau, Looker, dbt Cloud)

我们改用什么
Binadit 托管云平台。Apache Superset 或 Metabase，连接至您的数据仓库。
工程说明
BI 工具层通常只需更新新的连接字符串即可顺利迁移；例如从 dbt Cloud 迁移到自托管欧盟 CI 上的 dbt Core。

我们如何迁移离开 Snowflake

典型的中端市场迁移分为三个阶段进行。以下数据假设工程团队规模为 6-10 人，应用程序技术栈复杂度中等。

  1. Weeks 1-3

    Architecture decision + audit

    Decide ClickHouse vs Trino+lakehouse vs PostgreSQL based on query patterns and data volume. Inventory every dbt model, every dashboard, every external integration. The architecture decision dominates the schedule.

  2. Weeks 3-10

    Pilot + parallel run

    Migrate a representative subset of workloads to the EU target. Run parallel for validation. Tune ClickHouse cluster sizing based on real query patterns. dbt models converted (most run unchanged on dbt Core with adapter swap).

  3. Weeks 10-24

    Full cutover

    Phased migration of remaining workloads. BI tools repointed. Snowflake accounts scoped down. Final cutover with a rollback plan; Snowflake retained for archival access for 60-90 days post-cutover.

5-year TCO on Snowflake → ClickHouse migrations: typically 60-85% cheaper at scale. A team running $50k/month of Snowflake credits often replaces it with €5-10k/month of EU ClickHouse infrastructure plus the managed-partner fee. The break-even point is around $5-10k/month of Snowflake spend; below that, the engineering cost of migration may exceed the saved spend over a 3-year horizon.

常见问题

查看所有常见问题

Snowflake has Frankfurt and other EU regions - does that solve GDPR?
No. Snowflake Inc. is US-headquartered (parent jurisdiction), and the EU regions run on AWS/Azure/GCP - also US-headquartered (infrastructure jurisdiction). Two layers of US legal exposure under the CLOUD Act and FISA 702. For Schrems II-strict workloads, neither is acceptable.
Is ClickHouse really comparable to Snowflake?
For OLAP query workloads, ClickHouse is genuinely competitive - often faster on equivalent hardware. The differences: ClickHouse requires more operational expertise, Snowflake's separation of compute and storage is harder to replicate cleanly, and Snowflake's ecosystem (Marketplace, Cortex, etc.) doesn't fully exist on ClickHouse. For pure analytics workloads, the gap is small.
What about managed ClickHouse offerings with an EU region?
Check what the EU region actually runs on. Several managed analytics platforms advertise an EU region that is itself hosted on a US hyperscaler, which leaves you with exactly the dual jurisdiction problem you were trying to solve, one layer further down. We run ClickHouse on infrastructure where that question has a single answer.
How does dbt fit in?
dbt Core is open-source and runs anywhere; dbt Cloud is dbt Labs Inc. (US). For sovereign workloads, dbt Core on a self-hosted CI runner (GitLab CI EU, Forgejo Actions) replaces dbt Cloud. The actual dbt models port cleanly with the warehouse adapter swap (snowflake → clickhouse).
How long does a Snowflake exit really take?
For a small-to-mid Snowflake usage ($5-20k/month, dozens of dbt models): 3-6 months elapsed time. For enterprise Snowflake ($50k+/month, hundreds of models, complex data sharing): 9-18 months. Snowflake migrations are not weekend projects - they require planning, parallel runs, and careful BI-layer choreography.
Can we keep some Snowflake and migrate the rest?
Hybrid is sometimes the right answer for very specific Snowflake-only features. The discipline: keep only non-personal-data workloads on Snowflake (e.g. internal analytics on aggregated metrics with no PII), and document the boundary in the DPA. For most regulated workloads, full exit is cleaner than the documentation burden of a hybrid.

规划您的退出 Snowflake.

30 分钟范围确定通话。我们将您的技术栈映射到仅欧盟替代方案,估算迁移工作量,并告诉您这是否是正确的选择。

预约通话 对比其他服务商