Comparison

Finch, Merge, Kombo or datascalehr: which fits global payroll integration?

Unified HR APIs and datascalehr both connect HR and payroll systems. Unified HR APIs are built for software companies that add integrations to their own product. datascalehr is built for employers and payroll providers that need every country’s payroll data in one governed record.

On this page

Two tools for two different jobs
Built on payroll domain knowledge
Connectors learned from real files, not pre-built
Side-by-side comparison
When a unified API is the better choice
When datascalehr is the better choice
Can you use a unified API and datascalehr together?
Frequently asked questions
Related pages

In brief. Choose a unified API such as Finch, Merge or Kombo when your company sells software and needs to read standard HR and payroll fields from your customers’ systems. Choose datascalehr when your company runs payroll across many countries, or delivers payroll for clients, and needs every local field, file and provider connected, validated and traceable. datascalehr is the context layer for global HCM data. datascalehr connects Workday, SAP SuccessFactors, Oracle HCM and Dayforce to local payroll providers in 180 countries through structured file, SFTP or API, without custom connector development. datascalehr also understands payroll itself: effective dating, retroactive changes, year-to-date formats, and vertical and horizontal file structures.

Two tools for two different jobs

A unified API gives a software company one integration that reaches many HR and payroll systems. Finch describes itself as “the unified API for payroll, HR, and benefits.” Kombo describes itself as a unified API for HRIS, ATS, LMS and payroll, aimed at B2B companies that offer integrations to their customers. Merge offers a unified API across HR and payroll, accounting, ATS, CRM, file storage and ticketing. Each platform maps the systems it supports into a common data model, so the software company writes its integration code once.

datascalehr solves a different problem. A multinational employer, or a payroll provider serving multinational clients, has to move data between an HR system of record and dozens of local payroll engines, each with its own fields, files and statutory rules. Many local providers have no API and exchange data by spreadsheet, fixed-width file or SFTP. datascalehr reads each source in the format the source uses, maps each field with KMod™, validates each record against the receiving country’s rules, and keeps the origin and lineage of every value.

Built on payroll domain knowledge

datascalehr was built by people who built and ran payroll platforms at ADP, PayGroup and AstutePayroll. KMod™ treats payroll data as payroll, so each value keeps its meaning, the date the value takes effect, and its place in the pay cycle. A field called BASE_SAL is a salary with a start date, a currency, a frequency and a country’s rules attached.

Effective dating. Every change carries the date the change takes effect, so a salary increase entered today can apply from last month.
Retroactive changes. datascalehr carries backdated changes and corrections through to the payroll that has to recalculate the period.
Year-to-date formats. Providers report year-to-date values in different formats and against different tax years. datascalehr reads each provider’s format and keeps the values comparable across countries.
Vertical and horizontal structures. Some systems send one row per pay element, and others send one row per employee with a column for each element. datascalehr reads and writes both structures.

A common data model standardizes the fields that most systems share. Payroll meaning lives in the details a common model leaves out: when a value applies, which period the value belongs to, and how each country and each provider expects to receive the value. datascalehr applies that knowledge to every HR system and every payroll provider it connects, in 180 countries.

Connectors learned from real files, not pre-built

A unified API covers the systems on its vendor’s integration list. The vendor builds and maintains an integration for each supported system, and a system outside the list needs the vendor to add it first.

datascalehr has no fixed list of connectors. KMod™ learns from real payroll files in their real formats: 2M+ mapping decisions that payroll specialists confirmed across 8,000+ source and target schemas. When a client brings a new HR system or payroll provider, datascalehr reads that system’s files or API, and KMod™ proposes each mapping from what KMod™ has already learned. Learning from real files lets datascalehr connect any HR system to any payroll provider, including a local provider that no integration vendor has covered before.

KMod™ learns from file structures and confirmed mapping decisions. KMod™ never stores personal data or data values.

Side-by-side comparison

	Unified HR and payroll APIs Finch, Merge, Kombo	datascalehr Context layer for global HCM data
Built for	Software companies that add customer-facing HR and payroll integrations to their product	Multinational employers, payroll providers and their implementation partners
Who sets it up	Developers write application code against the API	Payroll specialists confirm field mappings, with no developer involved
Data model	A common model of the fields most HR and payroll systems share	The full local record for each country, including fields a common model leaves out
Payroll knowledge	A common data model of standard fields, built for developers to consume	Payroll meaning built in: effective dating, retroactive changes, year-to-date formats, and vertical and horizontal structures, in every country
Connectors	Pre-built integrations for each system on the vendor’s list	No fixed list: KMod™ learns from real files and connects any HR or payroll system
How fields are mapped	The vendor maps each supported system to the common model	KMod™ predicts each mapping from 2M+ validated decisions, and a payroll specialist confirms each prediction
Connection methods	API connections to supported systems. Finch also offers credential-based and assisted connections	Structured file, SFTP or API, including local payroll providers with no API
Coverage	Finch lists 220+ HRIS and payroll systems. Merge and Kombo list hundreds of integrations across several software categories	Any country, any language, any HR or payroll system
Validation	Normalizes data into the common model	Checks each record against the receiving system’s and country’s rules before the data arrives

When a unified API is the better choice

Your company sells HR, benefits, fintech or recruiting software and wants customers to connect their HRIS from inside your product.
Your product needs the standard fields most systems share, such as employees, departments, compensation and deductions.
Your engineering team will build and own the product features that use the data.

When datascalehr is the better choice

Your company pays employees in many countries through several local payroll providers and wants to keep those providers.
Your providers exchange data by file or SFTP, or have no API.
Your payroll team needs country-specific payroll fields, validation before the payroll run, and a record of where every value came from.
Your company is a payroll provider onboarding clients from Workday, SAP SuccessFactors, Oracle HCM or Dayforce.
Your company is switching payroll providers, integrating an acquisition, or reconciling payroll results across countries.

In Singapore, Strada, one of the world’s largest payroll providers, went from data discovery to 99.7% payroll accuracy in a parallel run in five days. A payroll specialist connects each country in under an hour.

Can you use a unified API and datascalehr together?

Yes. The two tools cover different parts of the stack. A software product can read standard HR data through a unified API, while datascalehr maintains the governed, country-level payroll record that feeds local payroll engines, finance systems and AI agents. datascalehr delivers data by structured file, SFTP or API, so downstream tools can read the governed record directly.

Frequently asked questions

Is datascalehr a unified API?

No. A unified API maps many systems into one common data model for software developers. datascalehr is the context layer for global HCM data. datascalehr connects HR systems to local payroll providers in each provider’s own format, validates each record against country rules, and keeps the origin and lineage of every value.

Is there an alternative to Finch for global payroll integration?

For employers and payroll providers that connect HR systems to local payroll in many countries, datascalehr is built for that job. datascalehr covers 180 countries and connects through structured file, SFTP or API, including local providers with no API.

Does datascalehr understand payroll concepts like effective dating and retroactive pay?

Yes. datascalehr was built by people who built and ran payroll platforms at ADP, PayGroup and AstutePayroll. KMod™ treats each value with its effective date and pay period, carries retroactive changes through to the payroll that recalculates them, reads every year-to-date format, and handles vertical and horizontal file structures.

Does datascalehr only work with a fixed list of HR and payroll systems?

No. datascalehr has no pre-built connector list. KMod™ learns from real payroll files and 2M+ confirmed mapping decisions, so datascalehr can connect any HR system to any payroll provider, including local providers that no integration vendor covers.

Do I need developers to use datascalehr?

No. A payroll specialist connects each country in under an hour. KMod™ proposes each field mapping, and the specialist confirms or corrects each proposal.

Does datascalehr replace my payroll providers?

No. datascalehr connects your existing HR system to your existing local payroll providers. Clients keep their providers and gain one governed record of pay across every country.

Can datascalehr connect payroll providers that have no API?

Yes. datascalehr reads exports from any HR system or payroll provider in the format the exports arrive in, including spreadsheets, fixed-width files and SFTP transfers.

Does datascalehr send our payroll data to AI models?

No. Personal data is never sent to a large language model. Structural metadata, such as column names and country, supports the mapping suggestions, and a human accepts or rejects every suggestion.

Descriptions of Finch, Merge and Kombo come from each company’s own website in October 2026. Product capabilities change, so check each vendor’s current documentation.