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Data Synchronization for the Real Estate Industry

Connect property platforms, real estate APIs, internal databases, SaaS apps, and more.


Why it matters: Real estate companies rely on up-to-date data across listings, leads, transactions, and internal systems. Etlworks helps synchronize data in real time, reduce manual work, and ensure consistent information across platforms.

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Why Etlworks

Real-time sync: Stream changes from on-prem and cloud SQL databases to Snowflake or other cloud destinations using CDC.

API-first: Connect to hundreds of real estate, marketing, and operations APIs including Fotonotes, Rently, Box, and Monday.com.

SaaS integrations: Automate data workflows with HubSpot, Google Sheets, Dropbox, and dozens of other SaaS apps.

Reverse ETL: Push enriched records from the warehouse back to operational systems, platforms, and APIs.

Flexible triggers: Run flows on schedule, via webhook, or based on external events (like file drops or API calls).

Media asset support: Handle high-volume image and document transfers with metadata processing and cloud storage sync.

Deploy anywhere: Cloud-hosted or on-prem, with full control over integrations and security.

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How Real Estate Companies Use Etlworks

Kyero, an international real estate portal, started with a single integration and quickly expanded Etlworks across their entire stack. They now connect Postgres, HubSpot, Snowflake (ETL + reverse ETL), SFTP, Google Sheets, S3, and more.

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LeadingRE, a global network of real estate firms, uses Etlworks to integrate listings and partner data at scale. They handle hundreds of formats, automate media processing, and connect to SaaS apps and APIs across the ecosystem.

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AvenueOne connects institutional investors with local real estate operators. Etlworks powers their real-time flows from APIs like Fotonotes and Rently, SaaS apps like Monday and Box, and SQL Server into Snowflake—for analytics, automation, and reverse ETL.

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The Scion Group, a leader in student housing, uses Etlworks to power real-time event-driven pipelines. They move hundreds of millions of records daily from SQL Server and APIs into Snowflake for operations, reporting, and automation.

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