Square Square

Square

Finance & Accounting

Dataddo extracts the full Square record set - invoices, transactions, payments, ledger entries - and delivers it wherever your finance team needs it: into AI tools and agents, your warehouse like Snowflake and BigQuery, BI dashboards, and back into your ERP and CRM. Blend it across entities and systems, backfill full history for audit, and keep it fresh on your schedule - all fully managed, with the data plane running where you choose. No pipelines to build, no lock-in.

YOUR FINANCE SOURCE OF TRUTH

Turn Square into financial reporting your whole team trusts

Financial data is only useful when it's complete, reconciled, and current. Dataddo extracts the full Square record model, governs it, and serves it to every warehouse, dashboard, AI tool, and downstream system - continuously and without manual exports.

Every record & field

Pull the full Square data model - invoices, transactions, payments, ledger and tax fields - not just a fixed preset, so your financial reports are never missing a line.

Blend across entities & systems

Combine Square with your other accounting, payment, and CRM sources so consolidated, multi-entity reporting lives in one place.

Backfill full history for audit

Load historical Square data beyond the platform's export limits, so period-over-period, reconciliation, and audit trails hold up.

Model & clean before load

Normalize currencies, tax codes, and account names, and let the Data Quality Firewall stop bad rows before Square data reaches your reports.

Fresh on your schedule

Incremental, scheduled syncs keep Square data current - as often as hourly - without manual exports or full reloads.

Governed & auditable

Delivery alerts and quality checks catch gaps in Square data early, so month-end close and dashboards never silently break.

DATASETS

What you can pull from Square

The Square connector provides a list of curated datasets - ready-made sets of records, fields, and metrics you can extract on a schedule. Need something specific? Any dataset can be forked and customized, or built from scratch, with our Universal Connector.

List of curated datasets

Typetype
string
Idid
string
Created Atcreated_at
datetime
Category Idcategory_id
string
Updated Atupdated_at
datetime
Versionversion
integer
is_deletedis_deleted
integer
Present At All Locationspresent_at_all_locations
integer
Item Data Nameitem_data_name
string
Item Data Is Taxableitem_data_is_taxable
integer
Item Data Tax Idsitem_data_tax_ids
string
Item Data Variations Typeitem_data_variations_type
string
Item Data Variations Iditem_data_variations_id
string
Item Data Variations Updated Atitem_data_variations_updated_at
datetime
Item Data Variations Created Atitem_data_variations_created_at
datetime
Item Data Variations Versionitem_data_variations_version
integer
Item Data Is Deleteditem_data_is_deleted
integer
Item Data Present At All Locationsitem_data_present_at_all_locations
integer
Item Variation Data Item Iditem_variation_data_item_id
string
Item Variation Data Nameitem_variation_data_name
string
Item Variation Data Ordinalitem_variation_data_ordinal
integer
Item Variation Pricing Typeitem_variation_pricing_type
string
Item Variation Sellableitem_variation_sellable
integer
Item Variation Stockableitem_variation_stockable
integer
Item Variation Default Unit Cost Amountitem_variation_default_unit_cost_amount
float
Item Variation Default Unit Cost Currencyitem_variation_default_unit_cost_currency
string
Item Variation Vendor Infos Typeitem_variation_vendor_infos_type
string
Item Variation Vendor Infos Iditem_variation_vendor_infos_id
string
Item Variation Vendor Info Updated Atitem_variation_vendor_info_updated_at
datetime
Item Variation Vendor Info Created Atitem_variation_vendor_info_created_at
datetime
Item Variation Vendor Info Versionitem_variation_vendor_info_version
integer
Item Variation Vendor Info Is Deleteditem_variation_vendor_info_is_deleted
integer
Item Variation Vendor Info Present At All Locationsitem_variation_vendor_info_present_at_all_locations
string
Item Variation Vendor Info Data Ordinalitem_variation_vendor_info_data_ordinal
integer
Item Variation Vendor Info Data Price Money Amountitem_variation_vendor_info_data_price_money_amount
float
Item Variation Vendor Info Data Price Money Currencyitem_variation_vendor_info_data_price_money_currency
string
Item Variation Vendor Info Data Item Variation Iditem_variation_vendor_info_data_item_variation_id
string
Item Variation Vendor Info Data Item Vendor Iditem_variation_vendor_info_data_item_vendor_id
string
Item Data Product Typeitem_data_product_type
string
Item Data Ecom Availableitem_data_ecom_available
integer
Item Data Ecom Visibilityitem_data_ecom_visibility
string
Item Data Is Archiveditem_data_is_archived
integer
Reporting Category Idreporting_category_id
string

Need a dataset, metric, or attribute you don't see?

Tell us what's missing and we'll add it to the connector.

Request it
WITH VS. WITHOUT

Who carries the load when things change

Keep Square data flowing to every warehouse, dashboard, and tool - and see who owns it when an API or schema changes:

Without Dataddo With Dataddo Outcome for you
API or auth change You discover the breakage and scramble to fix it. We update the connector and restore the pipeline - often before you notice. Syncs from Square keep flowing
Schema drift Columns change and pipelines break or corrupt data silently. Detected automatically and handled by configurable rules. Only clean Square data lands in reports
Endpoint deprecated You re-engineer the integration. We own the update - the data contract holds. Your Square reporting keeps working
Missing connector You build and maintain a custom integration. We build it and maintain it, under a ~4-week SLA. Any Square record you need, on request
Silent degradation You find out when a report or model run fails. Proactive monitoring catches anomalies and delays first. Gaps caught before month-end close
Debugging You dig through logs across disconnected tools. Run histories, payload inspection, and end-to-end lineage in one place. Faster root-cause, fewer reporting gaps
Data residency by design

Choose where Square data is processed - same cloud, region, or sovereign

Square is a cloud API, so the question isn't on-prem vs cloud - it's which region your financial data flows through. With Dataddo you run the data plane in the region you choose, so Square payloads move straight to your destinations without transiting a third-party SaaS. Pin it to an EU or US region for compliance and data-residency requirements, or self-host when a downstream target lives inside your own network.

Data Plane location Typical data sensitivity Why this setup

Public cloud

AWS Microsoft Azure Google Cloud
Low to moderate - general business, marketing, and product data; sources that are already cloud-native. Fastest to stand up and scales elastically. Best when the data has no residency restriction and often already lives in the same public cloud.

Regional & EU sovereign clouds

EU sovereign clouds Regional providers Private cloud
Regulated / residency-bound - PII, financial, and health data governed by GDPR or local law. Keeps processing inside a specific jurisdiction to meet data-residency and sovereignty rules, while still running as managed infrastructure.

On-premises

Kubernetes Red Hat OpenShift VMware Tanzu
Highly sensitive / restricted - data that contractually or legally cannot leave the corporate perimeter. Data never leaves your network. Required for air-gapped, classified, or locked-down environments; the Control Plane still manages it via metadata only.
DATA DELIVERY

Every way to deliver Square data

Financial data rarely has one home. Dataddo feeds Square into AI and agents, loads it into your warehouse for financial modeling, syncs records back into ERP and CRM systems, and delivers files to storage for archival - all governed the same way.

Transport type What it does Typical destinations Typical business use cases
Data to AI™ & Agents Feed Square data into vector databases, LLMs, and AI agents so finance copilots can reason over your numbers.
Claude OpenAI Gemini Mistral AI + 400 more
Load Square records into vector stores for retrieval-augmented finance assistants, Give AI agents and copilots governed access to live Square financial data
ETL / ELT to your warehouse Load Square records and metrics into your warehouse for financial and revenue analytics.
Snowflake BigQuery Amazon Redshift PostgreSQL + 400 more
Centralize Square across entities in Snowflake, BigQuery, or Redshift for consolidated reporting, Backfill Square history for reconciliation and audit
Sync back to ERP & CRM Push reconciled or modeled records built from Square data back into ERP, accounting, and CRM systems.
NetSuite Exact Online Salesforce HubSpot + 400 more
Sync modeled financial records from Square into your ERP or CRM, Keep Square data aligned across finance and revenue systems
Files to storage & archive Deliver raw or modeled Square extracts to object storage and partners for archival and audit.
AWS S3 Google Cloud Storage Azure Blob Storage SFTP + 400 more
Archive raw Square exports to S3, GCS, or Azure storage for retention, Send scheduled Square extracts to auditors or partners over SFTP
Pricing

Pick the plan that fits how you use your data.

Move data into your warehouse, lake or business apps with Data Anywhere, or let your AI assistants query it directly with Data to AI™. Need tailored contracts or volume pricing? Talk to us about Enterprise.

~25% OFF

Data to AITM

Serve governed business data to Claude, ChatGPT and other AI tools over MCP.

$13.99 /mo

per seat, billed monthly

Data AnywhereTM

Sync data between any sources and any destinations.

$129.00 /mo
31530

Choose a number of data flows

3 data flows

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Enterprise

Flexibly deploy Dataddo in any cloud or hybrid environment.

Custom

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FAQ

Square as a source + Dataddo, answered

Where can I send Square data?

To any of Dataddo's 150+ destinations - warehouses like Snowflake and BigQuery, BI dashboards, ERP and CRM systems, object storage, and AI or vector stores - plus custom destinations on request.

Do I have to maintain the pipeline?

No. Dataddo is fully managed: we maintain the Square connector, adapt to API and schema changes, and alert you if anything needs attention. There is no pipeline code for you to write or fix.

Can I consolidate Square data across multiple entities?

Yes. Dataddo can pull Square data from multiple accounts or entities and load it into one warehouse, blended and normalized, so consolidated and multi-entity reporting works without manual exports or spreadsheets.

What if Square changes their API?

That's on us, not you. Dataddo's team proactively tracks Square API and schema changes and updates the connector before they break your pipeline. Continuous monitoring watches every sync, and if anything needs attention you get an alert - so your Square data keeps flowing without you touching a thing.

Which Square records and fields are available?

The full Square data model - invoices, transactions, payments, ledger and tax fields, not a fixed subset. If a field you need isn't exposed yet, we add it on request, usually at no extra cost.

How is my data secured?

Dataddo is SOC 2 Type II and ISO 27001 certified. Data is encrypted in transit and at rest, PII and financial data can be masked or hashed, and EU or US data residency is available. Self-host the data plane and payload data never leaves your network.

Will API rate limits be a problem?

Dataddo handles Square pagination, rate limits, and retries for you, and pulls incrementally on a schedule so you stay within API quotas without impacting your accounting system.

Am I locked in?

No. Pipelines are source- and destination-agnostic - you can add or switch destinations without rebuilding, and data lands in native formats you own.

New from Dataddo · Data to AI™

Ask Claude or ChatGPT about your ads, analytics and CRM

“What did a new lead cost us last week, by paid channel?”

Connect 400+ sources once and get the answer right in your AI chat, without building a report. Better answers: your metrics are defined once, so the AI doesn't have to guess.