Data History Tracker

## **Capture Every Data Change Over Time. Reconstruct your Data from Any Historic Moment.**

Your data is constantly evolving - but most of that history is lost.

Data History Tracker makes sure none of these changes lost - **automatically capturing data changes across your Snowflake environment and preserving it for as long as you need**. <br/><br/>Every data asset your organization depends on is accounted for. Whether you're working with tables, views, dynamic tables, or data shares, the app monitors changes across all of them, giving you a unified picture of how your data has evolved over time.<br/><br/>There's no need to build and maintain separate staging tables, snapshot pipelines, or timestamped archives. Data History Tracker handles the full lifecycle - from capturing what changed, to storing it efficiently, to cleaning up records that have aged past your defined retention window. Only changes are recorded, not full table copies, keeping storage lean as your data grows.<br/>

## **🚨 The Problem**

When your data changes, the past disappears.

- A value changes - but you can’t see what it was before as the history wasn't captured
- The data schema changes and a column looks different - but you don’t know when or how it changed
- A table updates - but there’s no clear view of what actually changed at the row level
- Snowflake's native Time Travel expires - and that visibility into history disappears

Even simple questions become hard:

- *What did this data look like 10 years ago?*
- *What changed between these two times?*
- *How has a record evolved over time?*

Teams try to fill the gap with snapshots and pipelines but:

- They’re expensive to maintain
- They break or fall out of sync
- They only capture what you planned for - not everything that changed

**There’s no simple, reliable way to see how your data has evolved over time.**

<p><br/></p>

## **✅ The Solution**

**A complete, queryable history of your data - automatically captured.**

Instead of guessing what changed, you can:

- See exactly what changed, when, and at the row level
- Reconstruct any table, at any point in time
- Trace issues back to their source in minutes
- Provide defensible, audit-ready historical records

All without snapshots, custom pipelines, or manual tracking.

**Because only changes are stored - not full copies of entire tables - you get complete history without runaway storage costs.**

<p><br/></p>

## **⚙️ How It Works**

- Captures row level changes automatically
- Records only what changed (not full table copies)
- Tracks schema evolution over time
- Applies custom retention policies
- Enables full reconstruction of past data states

No staging tables. No snapshot jobs. No maintenance overhead.

Built for enterprise teams, the app handles the complexity of change tracking at scale - automated ingestion, schema evolution, storage optimization, monitoring, alerts, and recovery workflows - all in one place.

<p><br/></p>

## **🚀 What You Can Do**

✅ Extend Snowflake's native Time Travel beyond its built-in limits - preserving history to perpetuity or a retention period you define<br/>✅ Reconstruct prior-period data states for executive reporting and KPI restatements<br/>✅ Strengthen audit and regulatory readiness with defensible historical records<br/>✅ Investigate incidents faster with clear record-level change timelines<br/>✅ Improve governance with consistent historical lineage and accountability<br/>✅ Reduce operational risk through built-in monitoring, alerting, and recovery<br/><br/>If your business depends on accurate historical context, Data History Tracker gives your Snowflake environment the long-term memory it needs to operate with confidence.<br/><br/>Because knowing what your data looks like today is only half the picture.

原始信息汇总

Data History Tracker 数据集概述

数据集名称

Data History Tracker

提供商

Avalanche Cloud Consulting

概述

Data History Tracker 是一款用于自动追踪所有 Snowflake 数据资产数据变更的应用。它能确保数据变更不会丢失，自动捕获 Snowflake 环境中跨表、视图、动态表或数据共享的数据变化，并提供统一视图以展示数据随时间的演变。该应用仅记录变更，而非完整的表副本，从而在数据增长时保持存储精简。

主要功能

• 自动捕获行级变更
• 仅记录变更内容（非完整表副本）
• 跟踪模式随时间演变
• 应用自定义保留策略
• 支持完整重建过去的数据状态

解决的问题

• 数据值变更时，无法查看之前的历史记录
• 数据模式变更时，无法了解列何时或如何更改
• 表更新时，无法清晰查看行级变更详情
• Snowflake 原生 Time Travel 过期后，历史可见性消失

应用场景

• 将 Snowflake 的原生 Time Travel 扩展到其内置限制之外，将历史记录永久保存或保留至自定义期限
• 为执行报告和 KPI 重述重建前期数据状态
• 通过可靠的历史记录加强审计和监管准备
• 通过清晰的记录级变更时间线更快地调查事件
• 通过一致的历史沿袭和问责制改进治理
• 通过内置监控、警报和恢复降低操作风险

业务需求

数据质量与清洗

提供数据随时间变化的完整记录，便于识别不良数据引入时间、追溯其来源，并自信地验证历史记录质量。

监管报告

监管审计要求准确的时间点数据，而不仅仅是当前数据状态。Data History Tracker 保留所有数据资产的可辩护历史记录，使团队能够生成反映任何给定时刻数据准确状态的合规报告。

风险分析

理解风险意味着理解数据如何演变。Data History Tracker 为风险团队提供关键数据资产变更的持久、可查询时间线，从而实现更快的事件调查和更可靠的暴露评估。

安全特性

• 通过 Snowflake 安全审查
• 基于角色的访问控制保护数据
• 安装后，提供商建议根据需要授予特定权限

定价

Standard

• 每表每月 $25，上限为 $2,000
• 无预付成本，仅按实际跟踪的表付费
• 内置每月 $2,000 上限，无意外账单
• 30 天免费试用，无需承诺

试用信息

• 限时试用：30 天
• 免费试用 Data History Tracker 30 天，享受所有功能完整访问权限

类别

• Analytics Tools
• Data Engineering
• Data Quality and Cleansing
• Regulatory Reporting
• Risk Analysis

联系方式

• 销售：[e-mail]
• 支持：[e-mail]

云区域可用性

AWS

• Asia Pacific (Jakarta)
• Asia Pacific (Mumbai)
• Asia Pacific (Osaka)
• Asia Pacific (Seoul)
• 39 More

法律条款

Standard

关于提供商

Avalanche Cloud Consulting 专注于帮助企业将数据转化为强大的洞察力。作为 Snowflake 实施和云计算专家，致力于赋能组织通过可扩展、高性能的解决方案释放其数据的全部潜力。