How owners and operators put their property data in a warehouse they control
The PMS holds your leases, the maintenance platform holds your work orders, and every vendor dashboard shows one slice. Land it all in one warehouse you own, then decide who gets to read it.
Propexo Connect syncs data from Yardi, RealPage, Entrata, AppFolio, and 122+ other proptech systems into a data warehouse you control: Snowflake, BigQuery, Databricks, Amazon RDS, or Postgres, in your own account. Once it lands, the data is yours to query, model, feed to AI tools, and share with the partners you choose.
Where does your portfolio's data live today?
For most portfolios the honest answer is inside the vendors' systems. Units and leases sit in the PMS. Work orders sit in the maintenance platform, tour activity in the leasing CRM, payments with the payments processor, network telemetry with the connectivity provider.
Each system reports on its own slice, in its own schema, behind its own export. A question that spans two of them, like whether residents with open work orders renew at the same rate as everyone else, is nobody's dashboard.
Vendor and consultant requests hit the same wall from the other side. When a consultant needs your maintenance history to advise on staffing, or an advisor needs the terms buried in your connectivity agreements, the answer routes through whichever vendor holds that data, on that vendor's timeline.
What is an owner-controlled data layer?
An owner-controlled data layer is a data warehouse you own, with your operational systems syncing into it continuously. Propexo Connect supplies the pipelines: pre-built connectors extract data from each proptech system and load it into your warehouse, raw across the catalog, with a normalized layer for the major PMS platforms. Browse the full catalog on the integrations marketplace.
Propexo owns the connector maintenance. When a vendor changes its API, its auth flow, or its rate limits, that is our problem to fix, not your team's. The warehouse and everything in it are yours. The pipelines are ours to keep healthy. The data layer product page has the full picture of what owning the layer includes.
What changes when you own the layer?
Vendor dashboards and exports
- Where the data lives
- In each vendor's system, in that vendor's schema
- Who grants access to it
- The vendor, on request, on its timeline
- Portfolio-wide questions
- Manual exports, combined by hand
- When you switch vendors
- Your history depends on an export you negotiate
An owner-controlled data layer
- Where the data lives
- In your warehouse, in your cloud account
- Who grants access to it
- You, through warehouse permissions you control
- Portfolio-wide questions
- One query across every source
- When you switch vendors
- Your history is already in your warehouse
What can you do with a data layer you own?
Reporting stops being an export chase. Any BI tool your team already uses (Tableau, Power BI, Looker, Sigma) reads one dataset that spans every property and every source system. See cross-portfolio reporting for the multi-PMS version of this problem.
AI plans get a foundation. An AI tool reasoning over your operations is only as good as the data it can reach, and a model pointed at one vendor's slice can only answer that vendor's questions. A warehouse that holds the whole portfolio is what lets AI work across it.
The questions between systems get answerable. Renewal patterns against open work orders, leasing outcomes against unit amenities. Whatever your analysts have been joining on a spreadsheet, they can join in the warehouse instead.
How do vendors and consultants read it without owning it?
Through the sharing controls your warehouse already has. Snowflake, BigQuery, and Databricks each support governed, read-only sharing, scoped to the exact tables and columns you choose. Because the warehouse is yours, the grant is yours. You decide which partner sees what, and you revoke it the same way.
Propexo's job in that arrangement stays the same, keeping the data fresh. What a partner reads is current, and never more than what you granted.
This is what changes vendor conversations. A data request stops being a favor routed through another vendor and becomes a term you set: what is shared, at what granularity, for how long, and what you get in return. Some owners will trade access for better service terms. Others will put a price on it. The decision sits with whoever owns the warehouse, and that is you.
Resident data deserves its own sentence. A partner grant can exclude resident-level fields entirely, sharing scope is a policy your team owns, and nothing is shared by default.
How to stand up an owner-controlled data layer
- 1
Inventory the systems that hold your data
List every system holding portfolio data: the PMS, maintenance, leasing CRM, payments, access control, connectivity, and the rest of the operational stack. The list is usually longer than anyone expects, and each entry is a future connector.
- 2
Choose a warehouse in your own account
Pick Snowflake, BigQuery, Databricks, Amazon RDS, or Postgres. The account is yours, which is the property everything else on this page depends on.
- 3
Connect the sources with Propexo Connect
Pre-built connectors for 122+ proptech systems handle each vendor's auth, pagination, rate limits, and schema drift. Data lands raw per source, with a normalized layer available for the major PMS platforms.
- 4
Model for your own questions
Join sources in the warehouse with dbt or the tooling your team prefers, so the questions that span systems become ordinary queries instead of export projects.
- 5
Grant partner access deliberately
Use the warehouse's sharing controls to give each vendor or consultant a scoped, read-only view. Record what was granted and when, and revisit grants when agreements change.
Frequently asked questions
Do we need a data warehouse before starting with Propexo Connect?
No. Connect delivers into a warehouse you control, and Snowflake, BigQuery, Databricks, Amazon RDS, and Postgres are all supported destinations. If you do not run one today, provisioning one and starting with a single source is a normal first step.
Is the data normalized when it lands in our warehouse?
It lands raw across the catalog, with a normalized layer for the major property management systems, where a Unified API connector performs the normalization. Everything else arrives in its source system's native structure, which you can model downstream with dbt or similar tooling.
Can a vendor write to our warehouse or our systems through Propexo?
Propexo Connect's pipelines flow one way, from your source systems into your warehouse. Partner access to the warehouse is whatever your grant allows, and scoped read-only grants are the standard arrangement.
How do we give a vendor or consultant access to our data?
Through your warehouse's own sharing features, such as Snowflake data sharing, BigQuery authorized datasets, or Databricks Delta Sharing. You scope the grant to specific tables or views, the partner queries current data without receiving a copy of everything, and you can revoke the grant at any time.
What does this mean for resident privacy?
You decide the scope of every grant. Warehouse sharing is controlled at the table, view, and column level, so a partner grant can exclude resident-level fields entirely or expose only aggregates. Nothing in your warehouse is visible to any partner by default.