Real-time
Two-way sync
Changes in Materialize or Ramp instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Accounting and finance
Materialize to Ramp integration — real-time, two-way sync
Keep Materialize and Ramp in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from MuleSoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Materialize and Ramp
Land the financial records from Ramp in Materialize continuously, and write results back, without building or maintaining a pipeline.
Finance data belongs in the warehouse: revenue, invoices, payments, and customers joined with everything else the business measures. Getting it there usually means an extraction pipeline that breaks quietly and delivers yesterday's numbers.
Stacksync syncs Funds (Spend Controls), General Ledger Accounts, Transactions, Cards from Ramp into tables in Materialize in real time, and the connection works in both directions: values computed in Materialize can be written back to fields in Ramp where you want them operational. Schema changes are handled, API limits are managed, and the sync is something you configure rather than code you maintain.
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 Sync operational CRM or ERP data into Materialize so real-time views stay current without batch loads.
- 04 Read computed view results back into a CRM or application database as derived fields.
Common sync patterns
Revenue joined with everything else
Analysts combine Ramp's financial records with product, marketing, or operational data already in Materialize for reporting the finance system cannot do alone.
Write-back of computed fields
Scores or segments computed in Materialize, like payment-risk flags or customer tiers, sync back onto records in Ramp where the finance team can act on them.
Queryable history for audit and reconciliation
A continuously synced copy in Materialize gives you a durable, queryable record of financial data for month-end and audit questions.
What you can sync between Materialize and Ramp
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.
| Materialize objects | Ramp objects | How this pairing syncs | |
|---|---|---|---|
| Indexes In-memory arrangements that make view reads fast for serving workloads. | Transactions Card purchase records with merchant, amount, and state; read for spend/GL sync and written back via accounting codings and sync status. | Indexes is specific to Materialize and Transactions to Ramp — each maps to any object or custom field on the other side. | |
| Clusters Compute pools that isolate ingestion, view maintenance, and serving. | Cards Physical and virtual card records; created and managed through the API to provision or suspend cardholder spend. | Clusters is specific to Materialize and Cards to Ramp — each maps to any object or custom field on the other side. | |
| Connections & Secrets Stored credentials and endpoints used by sources and sinks. | Users Employee and cardholder records; invited, updated, and deactivated, commonly synced from an HRIS or identity provider. | Connections & Secrets is specific to Materialize and Users to Ramp — each maps to any object or custom field on the other side. | |
| Schemas & Databases Namespaces that organize objects a sync targets. | Departments Org groupings for cost-center and GL allocation; pushed from an ERP/HRIS and referenced by cards and transactions. | Schemas & Databases is specific to Materialize and Departments to Ramp — each maps to any object or custom field on the other side. | |
| Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. | Reimbursements Out-of-pocket expense claims; read for reporting and marked ready-to-sync then synced to the ERP. | Tables is specific to Materialize and Reimbursements to Ramp — each maps to any object or custom field on the other side. | |
| Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. | Bills Accounts-payable bills; created, updated, approved, and paid, then posted ready-to-sync and synced to accounting. | Sources is specific to Materialize and Bills to Ramp — each maps to any object or custom field on the other side. |
How changes propagate between Materialize and Ramp
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.
Materialize Ramp Sub-second propagation
DetectionChanges in Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.
DeliveryEach detected change is written to Ramp through its API, with automatic retries and rate-limit backoff.
Ramp Materialize 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 applied to Materialize as a row-level write, with types converted between the two schemas.
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.
What ships with Materialize ⇄ Ramp
Connect Materialize and Ramp for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Materialize–Ramp connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Materialize or Ramp 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 Materialize or Ramp record.
Observability
Monitoring
Track your Materialize ⇄ Ramp sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Materialize and Ramp.
How the Materialize and Ramp connectors work
Materialize
- Integration surface
- PostgreSQL wire protocol (SQL)
- Authentication
- Database credentials (username/password; app passwords in the managed cloud service)
- Change detection
- SUBSCRIBE queries stream row-level changes of any view or table to the client
- Capabilities
- read · write · CDC
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.
How it works
How to connect Materialize to Ramp — 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.
- 01
Connect your apps
Authenticate Materialize and Ramp with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Materialize
connected
Ramp
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Materialize and Ramp 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.
objects · Materialize ⇄ RampCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Materialize RampCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Materialize and Ramp integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Materialize and Ramp: authenticate both systems, choose the objects to sync (such as Materialize's Indexes and Clusters), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Change detection on Materialize: SUBSCRIBE queries stream row-level changes of any view or table to the client. On Ramp: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Ramp side: Funds (Spend Controls), General Ledger Accounts, Transactions, Cards, plus custom fields where Ramp exposes them. On the Materialize side: Sinks, Indexes, Clusters, Connections & Secrets. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
-
Common patterns for Materialize and Ramp: Revenue joined with everything else; Write-back of computed fields; Queryable history for audit and reconciliation. Analysts combine Ramp's financial records with product, marketing, or operational data already in Materialize for reporting the finance system cannot do alone.
-
Materialize: PostgreSQL wire protocol (SQL). Authentication: Database credentials (username/password; app passwords in the managed cloud service). Ramp: 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). Stacksync manages authentication, retries, and rate limits on both sides.
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
CSA STAR
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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