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Accounting and finance ⇄ Analytics

Ramp to Treasuredata integration — real-time, two-way sync

Keep Ramp and Treasuredata in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Ramp and Treasuredata

Feed the customers, invoices, and revenue records in Ramp into Treasuredata in real time, so dashboards and reports run on current numbers instead of last night's export.

Ramp holds the financial truth: who the customers are, what they were invoiced, what they paid, and what revenue landed. Treasuredata is where that data is turned into dashboards, reports, and metrics, but it only reflects the world as of its last load. When the connection between them is a scheduled extract or a hand-built pipeline, analysis runs a step behind the books, and the numbers on a chart rarely match the numbers in the finance system.

Stacksync keeps Funds (Spend Controls), General Ledger Accounts, Transactions, Cards in Ramp in sync with Journeys, Predictive Segments, Scheduled Queries, Query Jobs in Treasuredata, field by field and in real time. A customer, invoice, or amount created or corrected in Ramp shows up in Treasuredata within seconds, mapped to the right record. Where Treasuredata keeps its own accounts or users, the flow runs both ways, so finance attributes can enrich what Treasuredata already tracks.

There is no middleware to build, no API rate limits to babysit, and no nightly job that leaves the morning's reporting running on yesterday's figures.

Common use cases

  • 01 Two-way sync Transactions and their accounting codings with a Postgres warehouse so finance analyzes spend in SQL and pushes GL categories and memos back to Ramp.
  • 02 Mirror Bills and their approval and payment state into an AP or ERP system, marking each one ready-to-sync then synced to keep both ledgers reconciled.
  • 03 Push Predictive Segment propensity scores from TD onto customer records in an operational database or CRM for prioritization and lead routing.
  • 04 Write CRM and product-usage records into TD Tables so they become source tables feeding parent-segment unification.

Common sync patterns

Financial records land in Treasuredata for reporting

Invoices, payments, and revenue from Ramp flow into Treasuredata as they change, so dashboards are built on live figures rather than a periodic extract.

One customer key across both

A customer or account in Ramp is matched to the corresponding record in Treasuredata, so financial numbers join cleanly to whatever Treasuredata already reports on.

Revenue alongside the rest of the data

The amounts Ramp records sit next to product, usage, or operational data in Treasuredata, so a single view combines what was billed with what actually happened.

What you can sync between Ramp and Treasuredata

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Ramp objects Treasuredata objects How this pairing syncs
Transactions Card purchase records with merchant, amount, and state; read for spend/GL sync and written back via accounting codings and sync status. Tables Columnar log tables in TD's Plazma storage; every row carries a mandatory `time` column (Unix epoch) that Stacksync uses as the incremental watermark and partition key. Synced two-way with warehouse or database tables. Transactions is specific to Ramp and Tables to Treasuredata — each maps to any object or custom field on the other side.
Cards Physical and virtual card records; created and managed through the API to provision or suspend cardholder spend. Master (Parent) Segments Unified customer profiles assembled from multiple source tables in Audience Studio; read out to push enriched attributes onto CRM or warehouse records. Cards is specific to Ramp and Master (Parent) Segments to Treasuredata — each maps to any object or custom field on the other side.
Users Employee and cardholder records; invited, updated, and deactivated, commonly synced from an HRIS or identity provider. Segments Campaign subsets of a parent segment; membership read out to activate audiences in downstream systems, or audience flags written back onto records. Users is specific to Ramp and Segments to Treasuredata — each maps to any object or custom field on the other side.
Departments Org groupings for cost-center and GL allocation; pushed from an ERP/HRIS and referenced by cards and transactions. Journeys Timeline-based event sequences in Audience Studio; stage and membership read out for reporting and cross-system activation. Departments is specific to Ramp and Journeys to Treasuredata — each maps to any object or custom field on the other side.
Reimbursements Out-of-pocket expense claims; read for reporting and marked ready-to-sync then synced to the ERP. Predictive Segments AI/ML-scored segments; propensity scores read out and written onto customer records in a CRM or database for prioritization. Reimbursements is specific to Ramp and Predictive Segments to Treasuredata — each maps to any object or custom field on the other side.
Bills Accounts-payable bills; created, updated, approved, and paid, then posted ready-to-sync and synced to accounting. Scheduled Queries Cron-scheduled Presto/Trino (or Hive) jobs that materialize results into result tables; Stacksync reads those materialized tables downstream. Bills is specific to Ramp and Scheduled Queries to Treasuredata — each maps to any object or custom field on the other side.

How changes propagate between Ramp and Treasuredata

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Ramp Treasuredata Sub-second propagation

DetectionRamp notifies Stacksync of record changes through webhook events. Signed webhooks (HMAC-SHA256 X-Ramp-Signature) for bill, transaction, reimbursement, vendor, and user events.

DeliveryEach detected change is written to Treasuredata through its API, with automatic retries and rate-limit backoff.

Treasuredata Ramp Interval-based propagation

DetectionStacksync polls Treasuredata for changes on an incremental schedule, reading only records changed since the previous pass. Polling on the mandatory `time` column (Unix-epoch partition key) or an updated-at column.

DeliveryEach detected change is written to Ramp through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Ramp: 200 requests per 10-second rolling window per source IP; exceeding it returns 429 Too Many Requests, and requests running over 60 seconds return 504. Results use keyset pagination (follow the page.next URL / start cursor); higher limits can be requested from support.
  • Treasuredata: TD does not publish a fixed request-per-second cap; query throughput is bounded by the account's compute resource pool and large reads/exports run as asynchronous jobs.
What ships with Ramp ⇄ Treasuredata

Connect Ramp and Treasuredata for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Ramp–Treasuredata connection.

Real-time

Two-way sync

Changes in Ramp or Treasuredata instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Ramp or Treasuredata data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Ramp or Treasuredata record.

Observability

Monitoring

Track your Ramp ⇄ Treasuredata sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Ramp and Treasuredata.

How the Ramp and Treasuredata connectors work

Ramp

Integration surface
REST API (Developer API v1)
Authentication
OAuth 2.0: exchange client_id/client_secret (HTTP Basic) at api.ramp.com/developer/v1/token for scoped bearer tokens; client_credentials grant for server-to-server and authorization_code for user-delegated access; scopes follow resource:permission (e.g. transactions:read, bills:write, accounting:write).
Change detection
Signed webhooks (HMAC-SHA256 X-Ramp-Signature) for bill, transaction, reimbursement, vendor, and user events; otherwise poll incrementally (synced_after on transactions, from_created_at on bills) with keyset pagination, or read the audit-logs/events feed.
Capabilities
read · write · webhooks
Rate limits
200 requests per 10-second rolling window per source IP; exceeding it returns 429 Too Many Requests, and requests running over 60 seconds return 504. Results use keyset pagination (follow the page.next URL / start cursor); higher limits can be requested from support.
Ramp setup guide

Treasuredata

Integration surface
TD API v3 (REST) for databases, tables, and jobs, plus the Audience API (REST) for CDP segments and journeys
Authentication
API key sent as an `Authorization: TD1 <api_key>` header (per-user or account key from the TD Console); requests go to the region-specific endpoint (e.g. api.treasuredata.com for US, with separate EU and Tokyo endpoints)
Change detection
Polling on the mandatory `time` column (Unix-epoch partition key) or an updated-at column; TD stores append-oriented columnar data with no per-row CDC stream, so incremental syncs query for rows past a stored watermark
Capabilities
read · write
Rate limits
TD does not publish a fixed request-per-second cap; query throughput is bounded by the account's compute resource pool and large reads/exports run as asynchronous jobs
How it works

How to connect Ramp to Treasuredata — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Ramp and Treasuredata with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Ramp connected
    Treasuredata connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Ramp and Treasuredata objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Ramp ⇄ Treasuredata
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Ramp Treasuredata
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Ramp and Treasuredata integration FAQ

SECURITY

Security teams trust Stacksync

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
→ SECURITY WITH BENEFITS

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:

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