BubbleGum BI & Propexo Connect
Two layers of the multifamily data stack. Evaluating both? This page should save you a call.
The 60-second version
Two companies. Two different data problems. Here's the distinction in one view.
BubbleGum BI
“A single source of truth you can trust. Built by asset managers who faced the same challenges you do.”
- Primary deliverable
- BI dashboards, AI analyst (Cai), and benchmarking — sold per property per month
- Primary buyer
- Multifamily asset managers and portfolio operators
- Vertical focus
- Multifamily
- Example question it answers
- “What’s our occupancy and renewal trend across the portfolio this week, and how does it benchmark against comps?”
Propexo Connect
“Get your property data flowing in minutes — no code required.”
- Primary deliverable
- Raw, normalized operational data loaded into your warehouse — no UI on top
- Primary buyer
- Multifamily operators, IT & analytics, proptech builders
- Vertical focus
- Multifamily, deep
- Example question it answers
- “How do I get unit-, lease-, and work-order-level data out of Entrata, RealPage, AppFolio, and Buildium and into Snowflake — once, normalized, every night?”
Where each one fits in the stack
Side by side
Every claim below about BubbleGum BI is sourced from their own public homepage.
BubbleGum BI
- Core product positioning
- Multifamily BI platform — dashboards, AI analyst, and market benchmarking on top of consolidated property data.
- What you get
- A SaaS application with operations, financial, renovations, and market dashboards plus a conversational AI analyst (Cai).
- Where it sits in the stack
- Analytics & AI layer — above the warehouse
- Notable features
- Cai (conversational AI analyst), standardized "T12 on wheels" income statements, Renovations Intelligence, Market Intelligence
- Source data origin
- Connects to property management systems, market data providers, and third-party platforms (specific catalog not published)
- Connector breadth
- Catalog of named PMS integrations not published on the marketing site
- Data destination
- BubbleGum BI’s managed application — you consume data through their UI
- Pricing model
- Per property per month, tiered ($375–$650 / property / month across Basic, Essential, Pro per their site)
- Buyer profile
- Asset management & ops teams who consume dashboards
Propexo Connect
- Core product positioning
- Pre-built connectors that move property data from your proptech stack into your warehouse.
- What you get
- Raw, normalized data tables in the warehouse you already own. No dashboard.
- Where it sits in the stack
- Operational-data extraction & warehouse-loading layer — below the warehouse
- Notable features
- Connectors + a unified API across multifamily PMS, leasing, maintenance, resident, and AI tools
- Source data origin
- Pulls directly from operational systems via maintained connectors
- Connector breadth
- 120+ property-tech connectors, multifamily-focused (Entrata, RealPage, AppFolio, Buildium, HappyCo, Funnel, EliseAI, Travtus, Lessen, and more)
- Data destination
- Your warehouse: Snowflake, BigQuery, Databricks, Amazon RDS, Postgres
- Pricing model
- Connector-based platform pricing — talk to sales
- Buyer profile
- IT, analytics, and engineering teams who build on top of data
When BubbleGum BI is the right call
BubbleGum BI is purpose-built for multifamily asset managers who want dashboards and AI on day one. If any of these describe you, you should talk to them.
- You’re a multifamily asset manager and the bottleneck is dashboards, not data — you want a finished BI product on day one.
- You want a conversational AI analyst your team can ask portfolio questions in natural language, without standing up your own AI stack.
- You like per-property pricing and a clear product menu (Basic / Essential / Pro).
- Renovations tracking and market benchmarking out of the box are core to your workflow.
- You don’t have (and don’t want) a data engineering function or a warehouse to maintain.
When Propexo Connect is the right call
If you want raw operational data in a warehouse you control — not a finished dashboard application — this is the layer we built.
- You already have (or are building) a warehouse — Snowflake, BigQuery, Databricks, RDS — and you want raw operational data flowing into it.
- You operate on multiple PMS platforms (Entrata + RealPage + AppFolio + Buildium) and need one normalized dataset.
- You want to build your own dashboards, BI tools, AI features, or proptech products on top of the data — not consume someone else’s app.
- Your primary users are IT, analytics, or engineering — not finance/asset-management end users.
- You need unit-, lease-, resident-, and work-order-level truth, not pre-rolled-up dashboards.
Can I use both? Yes.
The two products sit at different layers, which means they compose cleanly. A common pattern:
- 1
Propexo Connect
Moves your operational data — PMS, leasing, maintenance, resident, AI tools — into your warehouse.
- 2
Your warehouse
Snowflake, BigQuery, Databricks, or RDS holds the unified dataset. One source of truth for your operation.
- 3
BubbleGum BI
Sits above the warehouse for asset-management dashboards, benchmarks, and Cai-driven AI Q&A.
FAQ
Does Propexo replace BubbleGum BI?
No. BubbleGum BI is a finished BI application with dashboards and an AI analyst. Propexo Connect is the data layer underneath. If you want a turnkey dashboard product, talk to BubbleGum. If you want raw data in your warehouse to build on, talk to us.
Does BubbleGum BI give me a warehouse I can query?
BubbleGum BI is a SaaS application — you consume the data through their UI and AI analyst. If you need a warehouse you control (to query, build BI on, train models against, or join with non-real-estate data), Propexo Connect is the layer for that.
Can I use both?
Yes. Propexo Connect can feed your warehouse, and BI products — including BubbleGum BI — can sit above it for asset-manager-facing dashboards.
Is this page endorsed by BubbleGum BI?
No. We wrote it to be fair and sourced every claim about BubbleGum BI from their public homepage. If anything reads unfairly, email [email protected] and we’ll fix it.