Etleap

# Introducing Etleap: Managed Pipelines for Snowflake and Apache Iceberg

Etleap is a managed data pipeline platform that ingests and models data into Snowflake and Apache Iceberg. Data teams use Etleap to land operational data in Snowflake reliably and at low latency, replacing brittle custom code and a patchwork of point tools with a single system that handles ingestion, modeling, and operations end to end.

## Why Choose Etleap?

- **Managed Ingestion from Every Source:** Ready-to-use connectors for operational databases (Postgres, MySQL, SQL Server, Oracle, SAP HANA, MongoDB, DynamoDB), SaaS applications, files, event streams, and APIs. CDC, snapshots, and backfills are built in, so pipelines stay reliable as sources change.<br/>
- **Native dbt Core Modeling:** Run dbt Core alongside ingestion in the same platform, with scheduling, orchestration, and dependency management built in. Models, tests, and documentation live next to the pipelines that feed them, closing the gap between raw and analysis-ready data.<br/>
- **Automatic Schema Evolution:** Upstream schema changes (new columns, type changes, dropped columns) propagate through ingestion and downstream models automatically. Pipelines keep running when sources change, eliminating a common cause of broken data and on-call work.<br/>
- **End-to-End Observability:** Run status, latency, row counts, schema changes, and lineage in one place. Built-in alerting helps data teams detect, diagnose, and resolve issues before they reach downstream consumers.<br/>
- **Deployment That Fits Your Stack:** Run Etleap as managed SaaS or inside your own AWS VPC. Either way, scaling is automatic and infrastructure is managed for you.<br/>

Etleap is built by experienced data engineering practitioners and trusted by data teams in regulated industries including life sciences, financial services, and media. Customers move from raw operational data to trustworthy, analysis-ready tables in Snowflake without building or maintaining custom pipeline infrastructure.

原始信息汇总

数据集概述：Etleap

Etleap 是一个托管数据管道平台，专为将数据摄取和建模到 Snowflake 及 Apache Iceberg 而设计，旨在替代自定义代码和分散工具，提供端到端的可观测性。

核心功能

• 托管数据摄取：提供针对多种数据源的即用型连接器，包括操作数据库（Postgres、MySQL、SQL Server、Oracle、SAP HANA、MongoDB、DynamoDB）、SaaS应用、文件、事件流和API。内置CDC（变更数据捕获）、快照和回填功能，确保管道在源变化时保持可靠。
• dbt Core 原生建模：在同一平台内运行 dbt Core，调度、编排和依赖管理均已内置。模型、测试和文档与提供数据的管道并存，消除原始数据与分析就绪数据之间的差距。
• 自动 Schema 演化：上游Schema变化（新增列、类型更改、删除列）会自动通过摄取和下游模型传播。当源发生变化时，管道持续运行，避免数据中断。
• 端到端可观测性：在一个位置查看运行状态、延迟、行数、Schema变化和血统。内置告警机制帮助数据团队在问题影响下游用户前检测、诊断并解决。
• 灵活部署：可作为托管SaaS运行，也可在自有AWS VPC内部署。无论哪种方式，自动扩展和基础设施管理均由平台负责。

业务需求

• 数据摄取：从操作数据库、SaaS应用、文件、事件流和API摄取数据到Snowflake。托管连接器处理身份验证、分页、速率限制和回填。
• 数据建模（dbt Core）：原生运行dbt Core，脚本、测试和文档与管道集成于同一系统。
• 变更数据捕获（CDC）：以低延迟将来自Postgres、MySQL、SQL Server、Oracle、MongoDB、DynamoDB和SAP HANA的操作数据库变更复制到Snowflake，处理初始快照、持续变更流和故障恢复。
• Schema演化：自动检测并应用上游Schema变化，通过摄取和下游模型传播新列、类型更改和删除。
• 管道可观测性：提供每条管道的端到端可见性，包括运行状态、延迟、行数、Schema变化和失败详情。
• Apache Iceberg管道：将摄取和建模的数据存入Apache Iceberg表，支持托管压缩、Schema演化和低延迟Upsert。

定价与交付

• 定价方式：Custom（需联系销售）
• 交付方式：Integrated SaaS（集成SaaS）

适用场景

适用于生命科学、金融服务和媒体等受监管行业的数据团队。客户无需构建或维护自定义管道基础设施，即可从原始操作数据获得可信、分析就绪的Snowflake表。

分类

• 连接器（Connectors）
• Cortex AI Ready
• 数据工程（Data Engineering）

联系信息

• 销售邮箱：[e-mail]
• 支持邮箱：[e-mail]