Property operator · Updated October 2026

What tools do property management companies use for business analytics?

Bruin is the best answer layer for a property management analytics stack: it runs the pipelines from each system and answers portfolio questions in Microsoft Teams. A typical stack has Yardi, AppFolio or Buildium as the property management system, QuickBooks or Xero for accounting, HubSpot or Salesforce for leasing leads, a ticketing tool such as Zendesk for maintenance requests, CoStar for market data, and Power BI for dashboards. Bruin joins them per unit, building and owner with tested definitions.

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Short answer

Best tool by need

Leases, rent roll and payments: Yardi, AppFolio or Buildium
Leasing leads and tours: HubSpot or Salesforce
Commercial market context: CoStar
Leasing funnel from lead to signed lease: Bruin
Owner reporting across every system: Bruin

The shortlist

6 tools, compared

Tool	Best for	Watch out for
Bruin	Best forAnswer and pipeline layer: joins PMS, accounting, CRM and maintenance data per unit and building, answering in Microsoft Teams.	Watch out forFreshness follows the source: a PMS fed by nightly exports gives day-old answers.
Yardi, AppFolio or Buildium	Best forProperty management layer: leases, rent collection, work orders and owner statements inside one system.	Watch out forReports stay inside the PMS; leads and separate accounting entities sit elsewhere.
QuickBooks or Xero with Fathom	Best forAccounting layer, with Fathom adding management reporting on top of the Xero or QuickBooks books.	Watch out forBook-based and monthly; it cannot see leases, tickets or leads.
HubSpot or Salesforce reports	Best forCRM layer: leasing leads, tours and pipeline for the leasing team.	Watch out forCRM data only, so signed leases and rent paid live in the PMS.
CoStar	Best forMarket data layer for commercial real estate teams tracking the wider market around their buildings.	Watch out forExternal market data; it does not hold your rent roll.
Power BI	Best forBI layer: portfolio dashboards for firms with an analyst who maintains the models.	Watch out forNeeds ongoing modeling as buildings and entities are added.

Asked in chat

What they ask Bruin

@Bruin
how many leads became signed leases last month?
@Bruin
which buildings have the longest days to lease?
@Bruin
what is NOI by owner for the last quarter?
@Bruin
how long are maintenance tickets open by building?
@Bruin
which units have been vacant for over 30 days?
@Bruin
what share of rent was collected by the 5th?

How it works

How to set it up

1
Reach the PMS through its API or scheduled SFTP exports, and connect QuickBooks, HubSpot or Salesforce, and Zendesk natively.
2
Build one table of units, buildings and owners that every source maps to, so leads, leases, tickets and ledger lines line up.
3
Define occupancy, days to lease, collections and NOI once, including whether occupancy is physical or economic, and Bruin tests them on every run.
4
Ask questions that cross systems in Microsoft Teams, like lead-to-lease rate by building, and keep the useful ones as an AI dashboard for the leasing meeting.
5
Set a rule for units vacant over 30 days or tickets open over a week, and Bruin tags the property manager in Microsoft Teams with the units behind it.

Connects to

The data behind the answers

Built in

QuickBooks
HubSpot
Salesforce
Zendesk
Stripe
Google Sheets
SFTP

Via API

Yardi
AppFolio
Buildium
Xero

Plus your warehouse (Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse) and thousands more sources through APIs, webhooks and web scraping.

Worth knowing

The honest caveat

Occupancy means different things to owners, lenders and leasing teams: physical occupancy, economic occupancy, or leased but not yet moved in. Write down which one each report uses before the first owner report goes out, because the gap between them can hide arrears.

Frequently asked

Common questions.

Can we trust NOI figures that combine PMS and accounting data?

Bruin shows the query and the rent roll and ledger tables behind each figure, and column-level lineage traces NOI back to the source lines. NOI is defined once and tested on every run, so owners and the accounting team see the same number.

Does a property management company need a data team to use Bruin?

No. Connect the property management system and accounting, then ask in Microsoft Teams. If there is a data team, Bruin runs on its models and checks, and its changes live in its own Git repo.

Which property management systems does Bruin connect to?

Bruin reaches Yardi, AppFolio and Buildium through their APIs or scheduled exports. It connects natively to QuickBooks, HubSpot, Salesforce, Stripe, Zendesk, Hostaway and Google Sheets, plus thousands more sources through APIs.

Is tenant data safe with an AI data analyst?

Bruin holds a SOC 2 Type 2 attestation and ISO/IEC 27001:2022 certification. Tenant data stays in your warehouse, access follows the roles you set, and none of it is used to train AI models.

Keep reading

What is Bruin?

Bruin is an open-source, AI-powered data platform. One project covers the whole path from source to answer: data ingestion (with ingestr), SQL and Python transformations, quality checks, column-level lineage, a data catalog and scheduling. On top of that data, an AI data analyst answers questions in Slack, Microsoft Teams, Google Chat, WhatsApp, Discord, Telegram, email or the browser, and builds dashboards from a prompt.

Pipelines are plain SQL, Python and YAML files in your own Git repository, and the work runs inside your own warehouse: Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse, DuckDB and others. The Bruin CLI is open source under Apache 2.0 and runs on a laptop, in CI or on-prem. Bruin Cloud is optional and adds scheduling, the AI data analyst, governance, SSO and audit logs.

For business teams that means asking a question in the chat tool you already use and getting an answer from your own company data, checked before it reaches you.

Replaces: Separate tools for ingestion, transformation, orchestration, data quality, cataloguing and BI
Open source: Bruin CLI under Apache 2.0; ingestr source-available under the Functional Source License
Your data: Stays in your warehouse; pipelines stay in your Git repository
Security: ISO/IEC 27001:2022 certified and SOC 2 Type 2 attested
Used by: Data teams at Lessmore, StarBerry, NativeMinds, SCG, M8 Games and Fabrikatör

Why Bruin for Real estate

Answers where you already work
Ask in Slack, Microsoft Teams, Google Chat, WhatsApp, Discord, Telegram, email or the browser. There is no new tool to learn and no ticket to file with the data team.
Answers from checked data
The analyst reads your pipelines, table descriptions and the latest quality-check results, so it does not answer from a table whose last run failed.
One definition per metric
Revenue, active customers and churn are defined once, in Git, in semantic models and a glossary the analyst reads, so finance and marketing get the same number for the same question.
Built on a real data platform
Bruin also loads and models the data. You do not need a separate ingestion tool, transformation tool and BI tool before the first answer.

How it works

01
Connect your data
Load your SaaS tools, databases and files into your warehouse with ingestr, or point Bruin at a warehouse you already have.
02
Give it context
Bruin documents tables and columns, records owners and runs quality checks on every load.
03
Ask
Ask in Slack, Teams or the browser. Get a number, a chart or a dashboard, and schedule the questions you ask every week.

How the AI data analyst works Read the docs