Can you integrate Postgres Heroku with Ramp?

Explore a Postgres Heroku and Ramp integration with a Stacksync engineer. Stacksync support for Postgres Heroku and Ramp is not established by the connector documentation reviewed for this page. Start with one record and the update your business needs to identify an implementation path.

Can Postgres Heroku and Ramp sync in both directions?

Confirm two-way support with Stacksync for the records and fields you need in both systems. Access to a vendor API does not confirm that its Stacksync connector supports write-back.

What should be ready before the Postgres Heroku and Ramp initial load?

Prepare both accounts, the selected object schemas, stable source and destination IDs, and the expected outcome. Identify the Postgres Heroku account, edition, environment, and business objects the integration must access. Identify the Ramp account, edition, environment, and business objects the integration must access. Use the pair worksheet to record ownership and acceptance criteria.

How fast does the Postgres Heroku to Ramp sync run?

Measure initial-load and ongoing-change latency separately. Source detection, selected objects, account limits, and destination validation determine the observed delay.

Will existing duplicates merge automatically?

No. Stacksync documents that pre-existing duplicates are not merged automatically when two-way sync begins. Review the initial dataset and matching plan before enabling it; an empty destination can simplify the first load.

How do I map Postgres Heroku fields to Ramp?

Start with one business entity and a stable record ID. Map a small set of editable fields with compatible types, test required values and relationships, then expand after the pilot passes.

What should I do if a record fails to sync?

Check the destination error, field constraints, permissions, and current source value. The Stacksync issues dashboard supports retry and revert; retry reads current source values, so verify the intended record state before acting.

What does a Postgres Heroku and Ramp integration cost?

Use the current Stacksync pricing page and confirm the supported implementation with the team. Scope the required objects, record volume, update frequency, initial load, and support needs when comparing a managed connector with native or custom development.

Which records should the Postgres Heroku and Ramp pilot start with?

Start by reviewing Proposed supplier bill table in Postgres Heroku (choose its name) in Postgres Heroku and Bills in Ramp. Check how these records relate in your workflow, then confirm the actual fields and supported operations. Test record matching and one failed or repeated update before adding more records.

Database / Accounting and finance · Two-way sync platform

Postgres Heroku and Ramp integration

Plan how Postgres Heroku and Ramp should share data across your business. Work with Stacksync engineers on record mapping, system access, and the requirements for running the integration.

Scope your workflow with an integration engineer
Review the systems, records, and updates you need

Integration planning

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Postgres Heroku

Ramp

Review the integration scope

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Proposed workflow

Supplier bill reporting workflow

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Starting eventA change involving the proposed supplier bill table in Postgres Heroku or Ramp Bills needs a defined result in the other system.

Start with the proposed supplier bill table in Postgres Heroku and Ramp Bills. Use the record-matching and field-ownership rules from your mapping worksheet.
Resolve supplier, expense/account codes, entity, currency, and accounting period before bill lines.
Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.

What to verifyTest a duplicate supplier document number in another entity, a partially paid bill, and a closed period.

Review records and field ownership

Proposed record relationships

Records to connect

Use these examples to define record matching and field ownership for your technical review.

Download the mapping worksheet

CSV · No email required

Example record relationships between Postgres Heroku and Ramp
Postgres Heroku record	Ramp record	Record matching	Field ownership
Proposed supplier bill tableProposed table; choose its name and schema.Reporting dataset	BillsProposed record; confirm Stacksync object support.	Retain the supplier-bill ID, supplier, legal entity, and document reference; distinguish it from a customer invoice.	Accounts payable owns approval and posting; a supplier bill is not an accounts-receivable invoice.
Proposed supplier or vendor tableProposed table; choose its name and schema.Reporting dataset	VendorsProposed record; confirm Stacksync object support.	Use the supplier ID within its business entity; a supplier name may occur in several subsidiaries.	Assign responsibility for approved supplier details; restrict changes to payment instructions to the business approval process.
Proposed application user or identity tableProposed table; choose its name and schema.Reporting dataset	UsersProposed record; confirm Stacksync object support.	Use the immutable user ID within the tenant or directory. Do not equate an application user with a CRM customer contact.	Identity and application owners approve account lifecycle and access changes; synchronize only approved attributes.

These relationships do not establish connector availability. Review the required connection and record operations with Stacksync.

Record coverage to review

Use documented coverage where available. Catalog record types are starting points for review and do not confirm Stacksync support.

Postgres Heroku

Connection and object support require review

Record types to review with Stacksync

Record types	Coverage and requirements
Tables Views Materialized Views Schemas Primary and Unique Keys JSONB Columns	Confirm support for this record type and the direction you need.

Discuss Postgres Heroku requirements

Ramp

Connection and object support require review

Record types to review with Stacksync

Record types	Coverage and requirements
Transactions Cards Users Departments Reimbursements Bills	Confirm support for this record type and the direction you need.

Discuss Ramp requirements

Connection essentials

Confirm Stacksync support and account requirements for undocumented connections. Interface information alone does not establish connector availability.

View setup requirements and limits

Connection requirement	Postgres Heroku	Ramp
Integration interface	SQL wire protocol (standard PostgreSQL)	REST API (Developer API v1)
Authentication	Confirm the credentials, API plan, and permissions required for Postgres Heroku.	Confirm the credentials, API plan, and permissions required for Ramp.
Change detection	Confirm how Stacksync detects changes for this connector and the objects you need.	Confirm how Stacksync detects changes for this connector and the objects you need.
Read access	Confirm with Stacksync	Confirm with Stacksync
Write access	Confirm with Stacksync	Confirm with Stacksync

Enterprise controls

Security and control for your integrations

Explore security controls

Compliance and data transfers

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

Record-level recovery

Inspect sync errors and use retry and revert controls to resolve failed updates.

Read the recovery guide

Implementation

Technical reference

Review setup, record relationships, testing, and recovery for your implementation.

Authentication, permissions and API limits

Connection requirements and limits

Postgres Heroku

Integration interface: SQL wire protocol (standard PostgreSQL)
Authentication: Confirm the credentials, API plan, and permissions required for Postgres Heroku.
Change detection: Confirm how Stacksync detects changes for this connector and the objects you need.
Read access: Confirm with Stacksync
Write access: Confirm with Stacksync

Setup requirements

Identify the Postgres Heroku account, edition, environment, and business objects the integration must access.
Confirm a Stacksync connector or implementation path for Postgres Heroku, including read/write support, authentication, and initial-load limits.

Limitations to check

Confirm Stacksync support for Postgres Heroku and the record types your workflow needs.
Review write-back, deletion handling, update timing, and account limits with the integration team.

Ramp

Integration interface: REST API (Developer API v1)
Authentication: Confirm the credentials, API plan, and permissions required for Ramp.
Change detection: Confirm how Stacksync detects changes for this connector and the objects you need.
Read access: Confirm with Stacksync
Write access: Confirm with Stacksync

Setup requirements

Identify the Ramp account, edition, environment, and business objects the integration must access.
Confirm a Stacksync connector or implementation path for Ramp, including read/write support, authentication, and initial-load limits.

Limitations to check

Confirm Stacksync support for Ramp and the record types your workflow needs.
Review write-back, deletion handling, update timing, and account limits with the integration team.

Technical documentation

Ramp vendor API documentation

Prepare Postgres Heroku and Ramp access

Set up both accounts before testing the mapping. Use test records where available, and identify the account administrator who can approve access and help resolve setup errors.

Postgres Heroku setup checklist

Identify the Postgres Heroku account, edition, environment, and business objects the integration must access.
Confirm a Stacksync connector or implementation path for Postgres Heroku, including read/write support, authentication, and initial-load limits.

Ramp setup checklist

Identify the Ramp account, edition, environment, and business objects the integration must access.
Confirm a Stacksync connector or implementation path for Ramp, including read/write support, authentication, and initial-load limits.

Prepare to go live

Record the fields each system can update, the first-load cutoff, both record IDs, the expected update delay, and who handles errors. Complete the tests before production before expanding to more records.

Use the Postgres Heroku and Ramp planning worksheet to capture these decisions. Record the access owner in the worksheet and enter credentials only in the connection setup.

Talk to an engineer · Review current pricing

Record identity and field ownership

Use these data-model references to describe the records your connection needs. They are planning examples; connector availability and supported operations must be established before implementation.

Download the mapping worksheet · CSV, no email required

Reporting dataset

Proposed supplier bill table in Postgres Heroku (choose its name) / Bills

Plan a supplier bill dataset while preserving its source meaning.

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Postgres Heroku: Your database schema
Ramp: Object support to establish
Record identity: Retain the supplier-bill ID, supplier, legal entity, and document reference; distinguish it from a customer invoice.
Field ownership: Accounts payable owns approval and posting; a supplier bill is not an accounts-receivable invoice.

Fields to include

Source bill ID
Supplier reference
Entity
Line amounts and currency
Approval/posting state

Record dependencies: Resolve supplier, expense/account codes, entity, currency, and accounting period before bill lines.
Validation: Test a duplicate supplier document number in another entity, a partially paid bill, and a closed period.
Recovery: Verify whether the bill was approved or posted before retrying; use the approved adjustment process for posted bills.

References: Ramp: Bills documentation

Reporting dataset

Proposed supplier or vendor table in Postgres Heroku (choose its name) / Vendors

Plan a supplier or vendor dataset while preserving its source meaning.

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Postgres Heroku: Your database schema
Ramp: Object support to establish
Record identity: Use the supplier ID within its business entity; a supplier name may occur in several subsidiaries.
Field ownership: Assign responsibility for approved supplier details; restrict changes to payment instructions to the business approval process.

Fields to include

Source supplier ID
Legal name
Entity reference
Payment terms
Active status

Record dependencies: Resolve business-unit and payment-term references before purchasing transactions.
Validation: Test a supplier shared across subsidiaries and an inactive supplier referenced by an open bill.
Recovery: Review rejected supplier changes before retrying dependent bills; do not reactivate a supplier merely to make a write pass.

References: Ramp: Vendors documentation

Reporting dataset

Proposed application user or identity table in Postgres Heroku (choose its name) / Users

Plan a application user or identity dataset while preserving its source meaning.

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Postgres Heroku: Your database schema
Ramp: Object support to establish
Record identity: Use the immutable user ID within the tenant or directory. Do not equate an application user with a CRM customer contact.
Field ownership: Identity and application owners approve account lifecycle and access changes; synchronize only approved attributes.

Fields to include

Source user ID
Tenant reference
Account status
Group references

Record dependencies: Resolve tenant and group references and establish a protected administrative-account policy.
Validation: Test a renamed login, disabled account, missing group, and a user existing in two tenants.
Recovery: Review access impact before retrying a lifecycle change; reconcile current identity state and retain an approval trail.

References: Ramp: Users documentation

Compare integration approaches

Choose a method around one example record and the update your business needs. Use Proposed supplier bill table in Postgres Heroku (choose its name) / Bills to review record matching and confirm Stacksync support for the required operations. Compare ongoing sync, a custom workflow, and a scheduled export against that requirement.

Stacksync managed sync

Best fit: Review compatibility with a Stacksync engineer using an example of the records and updates you need.
Operating responsibility: Fits ongoing record synchronization when the required operations are supported. Add workflow steps for approvals or business actions that go beyond copying fields.
Before you choose: Check record matching: Retain the supplier-bill ID, supplier, legal entity, and document reference; distinguish it from a customer invoice. Verify field coverage, deletion handling, and how changes are detected.

Native vendor integration

Best fit: A vendor-built integration may fit if it supports your Postgres Heroku and Ramp record types.
Operating responsibility: Can reduce setup for a supported workflow. You may need another method for records or business steps it does not cover.
Before you choose: First check whether either vendor offers this integration. If available, verify Proposed supplier bill table in Postgres Heroku (choose its name) / Bills, update direction, account tier, and related-record handling.

Custom API or workflow

Best fit: Consider when Postgres Heroku and Ramp need a transformation, approval, or action outside a direct record sync.
Operating responsibility: Provides control over business steps; the team owns credentials, version changes, error queues, and reconciliation.
Before you choose: Verify endpoint permissions, pagination, quotas, duplicate detection, and failure recovery. Separate reading history from actions that send messages, grant access, or post transactions.

File or scheduled snapshot

Best fit: Consider for a one-time Postgres Heroku / Ramp migration or a reporting need with an explicit freshness window.
Operating responsibility: Can simplify a bounded transfer; later changes and deletion history require another extraction or a separately designed incremental process.
Before you choose: Record the extraction cutoff, source IDs, encoding, date/number formats, and reconciliation totals.

Workflow scenarios and expected results

Supplier bill reporting workflow

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Starting event: A change to the selected Proposed supplier bill table in Postgres Heroku (choose its name) or Bills record needs a defined result in the other system.

Start with Postgres Heroku Proposed supplier bill table in Postgres Heroku (choose its name) and Ramp Bills. Use the record-matching and field-ownership rules from your mapping worksheet.
Resolve supplier, expense/account codes, entity, currency, and accounting period before bill lines.
Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.

Expected result: Test a duplicate supplier document number in another entity, a partially paid bill, and a closed period.

If it fails: Verify whether the bill was approved or posted before retrying; use the approved adjustment process for posted bills.

Supplier or vendor reporting workflow

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Starting event: A change to the selected Proposed supplier or vendor table in Postgres Heroku (choose its name) or Vendors record needs a defined result in the other system.

Start with Postgres Heroku Proposed supplier or vendor table in Postgres Heroku (choose its name) and Ramp Vendors. Use the record-matching and field-ownership rules from your mapping worksheet.
Resolve business-unit and payment-term references before purchasing transactions.
Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.

Expected result: Test a supplier shared across subsidiaries and an inactive supplier referenced by an open bill.

If it fails: Review rejected supplier changes before retrying dependent bills; do not reactivate a supplier merely to make a write pass.

Application user or identity reporting workflow

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Starting event: A change to the selected Proposed application user or identity table in Postgres Heroku (choose its name) or Users record needs a defined result in the other system.

Start with Postgres Heroku Proposed application user or identity table in Postgres Heroku (choose its name) and Ramp Users. Use the record-matching and field-ownership rules from your mapping worksheet.
Resolve tenant and group references and establish a protected administrative-account policy.
Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.

Expected result: Test a renamed login, disabled account, missing group, and a user existing in two tenants.

If it fails: Review access impact before retrying a lifecycle change; reconcile current identity state and retain an approval trail.

Reconcile Ramp business records with Postgres Heroku

This is an evaluation scenario; connector and operation support require confirmation.

Starting event: A finance-owned record in Ramp needs operational visibility through a selected destination dataset.

Select Users or Bills with the correct legal entity, period, and currency.
Define a reporting relationship in Postgres Heroku; do not equate customer records, ledger accounts, and posted transactions.
Decide whether the process only reports a financial state or requests an approved accounting action, and maintain a separate transaction ID for each action.

Expected result: Totals reconcile within the same entity/currency/window; a repeated handoff creates no duplicate financial transaction.

If it fails: Verify posting and settlement state before retrying. Use the approved adjustment path for already-posted transactions.

Initial load and acceptance testing

Keep both record IDs with the expected and actual result. Reconcile the same filters and time window in each system.

Proposed supplier bill table in Postgres Heroku (choose its name) / Bills

Test case

Test a duplicate supplier document number in another entity, a partially paid bill, and a closed period.

Expected result

The expected supplier bill relationship is preserved with no duplicate action or unintended write.

Proposed supplier or vendor table in Postgres Heroku (choose its name) / Vendors

Test case

Test a supplier shared across subsidiaries and an inactive supplier referenced by an open bill.

Expected result

The expected supplier or vendor relationship is preserved with no duplicate action or unintended write.

Proposed application user or identity table in Postgres Heroku (choose its name) / Users

Test case

Test a renamed login, disabled account, missing group, and a user existing in two tenants.

Expected result

The expected application user or identity relationship is preserved with no duplicate action or unintended write.

Direction and permissions

Test case

Bring an example source record and the intended destination operation to the compatibility review. Confirm the supported route before granting write access.

Expected result

Only an approved, supported direction and permitted fields are written.

Freshness and reconciliation

Test case

Measure source and destination times for the selected records under normal load and a burst. Reconcile IDs and values using the same filters and cutoff.

Expected result

The process meets its agreed freshness target and reconciliation has no unexplained differences.

Failed updates, retries and recovery

Start with the failed record and the destination error, then inspect the source value, field requirements, and access.

Rejected or repeated supplier bill change

Investigate

Inspect Postgres Heroku Proposed supplier bill table in Postgres Heroku (choose its name) and Ramp Bills, their IDs, and the destination error.

Next action

Verify whether the bill was approved or posted before retrying; use the approved adjustment process for posted bills.

Rejected or repeated supplier or vendor change

Investigate

Inspect Postgres Heroku Proposed supplier or vendor table in Postgres Heroku (choose its name) and Ramp Vendors, their IDs, and the destination error.

Next action

Review rejected supplier changes before retrying dependent bills; do not reactivate a supplier merely to make a write pass.

Rejected or repeated application user or identity change

Investigate

Inspect Postgres Heroku Proposed application user or identity table in Postgres Heroku (choose its name) and Ramp Users, their IDs, and the destination error.

Next action

Review access impact before retrying a lifecycle change; reconcile current identity state and retain an approval trail.

A record type or update is unavailable

Investigate

Check the Postgres Heroku and Ramp connector guides, account permissions, and any operations marked On Request.

Next action

Ask the integration team to confirm a supported way to handle that record. Verify whether it needs connector configuration or a separate workflow step.

Source and destination disagree after a retry

Investigate

Compare current source values, destination validation, identity mappings, and any side effects already completed.

Next action

Stacksync issue retry reads the current source state. Decide the intended state before retrying or reverting; reconcile downstream effects separately.

Read the Stacksync issues dashboard guide for retry and revert behavior.

Change detection and update delivery

How updates move between Postgres Heroku and Ramp

See how each system detects changes and which updates the other system can receive. Each direction has its own permissions and record requirements.

Postgres Heroku Ramp Direction requires confirmation

Detect changesConfirm how Stacksync detects changes for this connector and the objects you need.

Apply updatesConfirm that Stacksync can create or update the records you need in Ramp.

Ramp Postgres Heroku Direction requires confirmation

Detect changesConfirm how Stacksync detects changes for this connector and the objects you need.

Apply updatesConfirm that Stacksync can create or update the records you need in Postgres Heroku.

Update timing and record limits

Measure initial-load and ongoing-change latency separately. Source detection, selected objects, account limits, and destination validation determine the observed delay.
Review write-back, deletion handling, update timing, and account limits with the integration team.
Review write-back, deletion handling, update timing, and account limits with the integration team.

FAQ