探讨企业团队为何从 Esri ArcGIS 转向云原生平台 CARTO，以及 AI Agent 如何端到端、分步骤地执行迁移任务。
Why enterprise teams move from Esri ArcGIS to cloud-native CARTO, and how an AI agent handles the migration end to end, step by step.
大多数企业级地理信息系统（GIS）团队所面临的瓶颈，并非技能不足，而是其空间工作被强制局限于一个彼此隔离、厂商锁定的系统中——该系统维护着数据的独立副本，而非运行于企业其他业务部门已普遍采用的云数据仓库之上。而固守于此的成本正持续攀升。这一成本不仅加剧了问题本身，Esri 近期的许可模式调整更使其愈发尖锐：当 Esri 将客户从并发用户许可模式转向按命名用户许可模式时，经济模型便对那些需在广泛员工群体中共享空间工具的组织愈加不利。面对此类成本压力，许多团队的第一反应是退回到开源工具（如 QGIS）。但这仅是将问题转移：桌面端工具仍将空间工作隔离于单个工作站之上，脱离云环境，亦游离于企业所依赖的治理框架之外。您虽节省了许可费用，却并未实现真正的现代化。 您无需在此类取舍间做抉择。CARTO 是一款原生云架构、具备智能体（agentic）能力的替代方案，可直接在您的数据仓库中运行，提供企业级治理与安全能力，且定价模式基于实际使用量，而非用户席位数。 迁移进程之所以停滞，通常并非源于缺乏迁移意愿，而是源于不知从何入手、难以预估所需投入、不确定自身特定地图与工作流能否平滑迁移，以及不清楚具体由谁来执行手动重建工作。而上述所有不确定性，正是本次方案所着力解决的核心问题；且整个过程无需一次性全面切换。该流程专为大规模企业级部署而设计，支持分批执行，并可安全地重复运行：再次执行时，系统将自动跳过已完成迁移的部分，仅重试失败项。大型迁移可在数日或数周内分阶段推进，全程清晰掌握进度状态。💡 您始终保有全程控制权。智能体将首先提出迁移计划，您可在任何操作执行前审阅确认；您的数据则始终保留在自有数据仓库内，不会外泄。 将空间工作引入云环境，并不意味着抛弃团队已积累的专业知识。您多年精研的核心概念可无缝延续，区别仅在于：这些能力现在运行于数据仓库之中，使整个企业均可在其上构建应用，而非继续困于单一工作站之上。CARTO 以 SQL 为先，基于开放标准构建，确保您的成果以可移植格式保存，而非陷入新的专有封闭体系。由于所有操作均以 SQL 形式在数据已有位置执行，您的其余数据团队成员无需 GIS 许可即可在其上开展工作；团队所设计的分析成果亦由此转化为可复用的共享资产，而非一次性文件。 明确界定适用范围，远比过度承诺更为重要。以下即为当前迁移支持覆盖的内容，以及尚未涵盖的部分。 真正的价值并非更低的许可费用，而在于：当空间分析能力不再滞留于请求队列之中，而是可被全企业即时调用时，GIS 团队所能释放的战略价值。这一转变，将 GIS 团队从支持职能升格为战略职能。正如我们在 Google Cloud Next ’26 大会上所见，原生云架构、智能体就绪型平台与传统按席位授权的遗留 GIS 系统之间的鸿沟正迅速扩大；率先完成现代化升级的团队，正在为其所在组织定义位置智能的应用范式。 若您仍在评估各类选项，我们发布的《如何选择 GIS 平台》指南列出了八大关键维度，供您在最终决策前逐一比对。 离开 Esri 最困难之处，在于不知从何起步，亦难判断自身特定工作流能否顺利迁移。这正是迁移就绪性评估（Migration Readiness Assessment）的设计初衷。该评估仅需约两分钟即可完成，将为您提供个性化的就绪度信号：包括预估实施难度、示意性时间表，以及最适合您团队的 CARTO 入口点。后续迁移工作则完全由您自主决定节奏与范围。若某些您高度依赖的功能在 Esri 中表现更优，评估结果亦将如实指出。 需要迁移协助？CARTO 配备了一支“前置部署工程师”（Forward Deployed Engineers）团队，可为您的团队提供支持，或代为统筹整个迁移过程。 是的，ArcGIS 可在迁移期间持续运行。多数团队从单一用例切入，双平台并行运行，并在 CARTO 实证成效后逐步停用 ArcGIS 许可。 大型迁移可分阶段在数日或数周内完成，节奏与范围均由您掌控。 在复杂影像与激光雷达（LiDAR）分析、离线野外数据采集、建筑信息模型（BIM）工作流等领域，Esri 仍保持领先优势。CARTO 的迁移就绪性评估将在前期即明确标识此类依赖项，助您在正式承诺前厘清哪些功能应继续保留在 ArcGIS 中。 否。CARTO 在您的云数据仓库内部直接执行空间分析；迁移智能体则运行于您自有环境中，调用贵组织已批准的 AI 模型与服务提供商。数据自 ArcGIS 迁移至受管控的数据仓库后，您既有的访问控制策略无需修改即可生效；所有智能体操作均被完整记录并可追溯归属。 公共部门机构往往已部署 Oracle 空间引擎。CARTO 可将其转化为自助式 AI 智能体，使团队无需排队等待，即可即时获取答案。 AI 智能体的能力，取决于其对您数据的理解深度。CARTO 为 AI 智能体引入语义模型，并嵌入其他技术层所无法提供的空间上下文。
Most enterprise GIS teams are not held back by their skills. They are held back by where their spatial work is forced to live: in a separate locked-in system that keeps its own copy of the data, instead of running on the cloud data warehouse the rest of the business already uses. And the cost of staying there keeps climbing. The cost compounds the problem, and Esri's recent licensing changes have made it sharper. As it moves customers from a concurrent-use model to named-user licensing, the economics shift against exactly the organizations that share spatial tools across a broad workforce: Faced with these costs, many teams' first instinct is to fall back to open source like QGIS. But that just moves the problem: a desktop tool keeps your spatial work siloed on individual workstations, off the cloud, and outside the governance your enterprise depends on. You save on licenses without actually modernizing. You do not have to make that trade. CARTO is a cloud-native, agentic alternative that runs directly on the data in your warehouse, with enterprise-grade governance and security, and pricing that scales with use instead of seats. The reason migrations stall usually is not the will to move. It is not knowing where to start, how much effort it will take, whether your specific maps and workflows will move cleanly, and who is going to do the manual rebuilding. That is exactly what changes here, and none of it requires an all-at-once cutover. The process is built to run at enterprise scale. It works in batches, and it is safe to re-run: run it again and it skips what already moved and retries only what failed. A large migration can run in stages over days or weeks without ever losing track of what is done. 💡 You stay in control the whole way. The agent proposes a plan, you review it before anything moves, and your data never leaves your warehouse. Bringing your spatial work into the cloud does not mean throwing away what your team knows. The concepts you have spent years mastering carry straight over. They just run on the warehouse, where the whole business can build on them, instead of staying trapped on a single workstation. CARTO is SQL-first and built on open standards, so your work stays in portable formats rather than a new proprietary silo. Because everything runs as SQL where your data already lives, the rest of your data team can build on it without a GIS license, and the analyses your team designs become shared assets instead of one-off files. Being clear about scope matters more than overselling. Here is what the migration covers today, and what it does not. The real prize is not a cheaper license. It is what the GIS team gets to do once spatial answers are available across the business instead of stuck in a request queue. This is the shift that turns a GIS team from a support function into a strategic one. As we saw at Google Cloud Next '26, the gap between cloud-native, agent-ready platforms and legacy, seat-bound GIS is widening fast, and the teams that modernize now are the ones setting the agenda for how their organizations use location. If you are still weighing options, our guide to how to choose a GIS platform lays out eight features to compare before you commit. The hardest part of leaving Esri is knowing where to start, and whether your specific workflows will move cleanly. That is exactly what the migration readiness assessment is for. It takes about two minutes to answer, and gives you a personalized readiness signal: the likely effort, an indicative timeline, and the right CARTO entry point for your team. The migration itself then moves at the pace and scope you choose. If something you rely on is better kept in Esri, it will tell you that too. Need help migrating? CARTO has a team of Forward Deployed Engineers that can assist your teams or manage the migration on your behalf. Yes. ArcGIS keeps running while you migrate. Most teams start with one use case, run both platforms in parallel, and retire ArcGIS licenses as CARTO proves results. A large migration can run in stages over days or weeks, and you choose the pace and scope. Complex imagery and LiDAR analysis, offline field data collection, and BIM workflows are areas where Esri continues to lead. CARTO’s migration readiness assessment flags these dependencies upfront, so you know what to keep in ArcGIS before you commit. No. CARTO runs spatial analysis directly inside your cloud data warehouse, and the migration agent runs in your own environment using the AI models and providers your organization already approves. Data moves from ArcGIS into your governed warehouse, your existing access controls apply without modification, and every agent action is logged and attributable. Public sector agencies already have Oracle's spatial engine. CARTO turns it into self-service AI Agents, giving teams instant answers without a queue. AI Agents are only as good as their understanding of your data. CARTO brings semantic models to AI Agents, with spatial context no other layer provides.