Stacksync & Connect
One keeps your systems agreeing with each other. The other gets the data into your warehouse. They solve opposite problems.
The 60-second version
Sync writes. Extraction reads. That single difference decides which one you need.
Stacksync
“Real estate integration platform.”
- What it does
- Two-way sync that keeps the same record consistent across systems in real time
- Direction
- Bidirectional. Writes back into your operational systems
- Problem it solves
- Stale listings, duplicate leads, ledgers that drift apart
- Example question it answers
- “Why does our site say available while the MLS says pending and the portal still shows last month’s price?”
Connect
“Get your property data flowing, no code required.”
- What it does
- Extracts and loads proptech data into a data warehouse you own
- Direction
- One way, into the warehouse. Nothing is written back to the source
- Problem it solves
- Operational data trapped in systems your analysts and AI tools cannot reach
- Example question it answers
- “Across our 14,000-unit portfolio, which properties have the fastest-growing work-order backlogs?”
Where each one fits in the stack
Side by side
Every claim below about Stacksync is sourced from their own public website, read on 12 August 2026.
Stacksync
- Core job
- Keep property, listing, lease and contact data in sync across property management, CRM and accounting systems in real time
- Data flow
- Bidirectional. A change in one system propagates to the others
- Latency
- Real time, which is the point of the product
- Destination
- The other operational systems in the chain, plus optional hosted database
- Breadth of platform
- Six products on one platform: two-way sync, workflow automation, AI agents, event queues, database hosting, EDI
- Vertical focus
- Real estate is one industry page among several the platform serves
- Data shape on arrival
- Records mapped between systems so the same entity matches on both sides
- Blast radius if it misfires
- Higher. It writes to production systems of record
- Typical buyer
- Operations and revenue teams who need systems to agree with each other
Connect
- Core job
- Land proptech data in a warehouse so it can be modelled, reported on and used to train AI
- Data flow
- Unidirectional. Source systems are read, never written to
- Latency
- Scheduled syncs at a configurable frequency
- Destination
- Your warehouse: Snowflake, BigQuery, Databricks, Redshift, PostgreSQL, S3, Azure, Microsoft Fabric, Amazon RDS
- Breadth of platform
- One job, done for the multifamily stack: managed extraction and loading
- Vertical focus
- Multifamily only. 122 connectors across 23 categories of the stack
- Data shape on arrival
- Source-native tables. You model them downstream, or use the Unified API where PMS normalization is needed
- Blast radius if it misfires
- Lower. It only reads. A bad sync affects your warehouse, not your PMS
- Typical buyer
- IT, analytics and data teams who need one warehouse to analyse from
When Stacksync is the right call
If your systems disagree with each other, no warehouse will fix that. Talk to them.
- Your listings, leads or ledgers disagree between systems and the cleanup is manual.
- You need a change in one system to appear in another within seconds, not on a schedule.
- The same lead exists six times across your CRM, PMS and marketing tools.
- You want workflow automation, event queues or EDI alongside the sync, from one vendor.
- Your problem is operational consistency, not analysis.
When Connect is the right call
If the data is fine where it sits but nobody can analyse it, this is the layer we built.
- Your problem is analysis: dashboards, portfolio KPIs, board reporting, or feeding an AI project.
- You want the data in a warehouse you own, with modelling, BI and AI staying under your control.
- Your stack runs well past the PMS: leasing, maintenance, resident experience, access control, screening, payments.
- You run more than one PMS and need all of it landed in one place.
- You want a system that reads and never writes, because nothing should be able to change your system of record.
Can I use both? Yes.
These two genuinely do not overlap. One is real time and bidirectional between systems. The other is scheduled and one way into the warehouse.
- 1
Stacksync
Keeps the operational systems agreeing with each other, so the same lease and the same lead mean the same thing everywhere.
- 2
Connect
Reads those systems on a schedule and lands source-native tables in your warehouse. It never writes back.
- 3
Your warehouse
Holds the operational detail for BI, portfolio reporting and AI projects, under your control.
FAQ
Is Stacksync a competitor to Propexo?
They are adjacent rather than competing, because they do opposite things. Stacksync keeps operational systems consistent with each other by writing changes both ways in real time. Connect reads from those systems on a schedule and lands the data in your warehouse, and never writes back. If your listings and ledgers disagree, that is a Stacksync problem. If your data team cannot get at the data, that is a Propexo problem.
Can Connect sync data back into my PMS?
No, and that is deliberate. Connect is an extract and load product: it reads from source systems and writes only to your warehouse. Nothing Propexo does can change a record in your property management system. Some teams treat that as a limitation and some treat it as a safety property. If you need write-back, you need a sync tool, and Stacksync is one.
Does Stacksync put my data in a warehouse?
It offers hosted database and event-queue products alongside the sync, so data can land somewhere queryable. The centre of the product is keeping systems in agreement with each other rather than building an analytics estate in a warehouse you already own. If your warehouse is Snowflake, BigQuery or Databricks and you want source-native operational tables in it, that is Connect’s job.
Could I use both?
Yes, and it is a reasonable architecture. Stacksync keeps the operational systems agreeing with each other, and Connect lands the resulting data in your warehouse for analysis. The two do not overlap: one is real time and bidirectional across systems, the other is scheduled and one way into the warehouse.
Is this page endorsed by Stacksync?
No. We wrote it, and every claim about Stacksync is sourced from their own public website, read on 12 August 2026. Vendor sites change. If anything here is out of date or reads unfairly, email [email protected] and we will fix it.