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Data warehouse ⇄ Accounting and finance

Apache Druid to Ramp integration — real-time, two-way sync

Keep Apache Druid 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.

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Why teams connect Apache Druid and Ramp

Land the financial records from Ramp in Apache Druid 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 Users, Departments, Reimbursements, Bills from Ramp into tables in Apache Druid in real time, and the connection works in both directions: values computed in Apache Druid 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 Read Reimbursements into a finance database for cross-entity expense reporting and reconciliation without manual CSV exports.
  • 02 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.
  • 03 Expose product telemetry stored in Druid to business tools without granting direct cluster access.
  • 04 Query aggregated event metrics from Druid and sync them into CRM account fields for usage-based selling.

Common sync patterns

Write-back of computed fields

Scores or segments computed in Apache Druid, 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 Apache Druid gives you a durable, queryable record of financial data for month-end and audit questions.

Finance analytics without ETL

Invoices, payments, and customer records from Ramp arrive in Apache Druid as queryable tables, current within seconds instead of a day behind.

What you can sync between Apache Druid 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.

Apache Druid objects Ramp objects How this pairing syncs
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Vendors Supplier records under the accounting namespace; uploaded and updated for AP matching and payments. Metrics is specific to Apache Druid and Vendors to Ramp — each maps to any object or custom field on the other side.
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. Funds (Spend Controls) Spend controls governing card usage; read and created via the funds API to enforce budgets per user, department, or program. Ingestion Supervisors is specific to Apache Druid and Funds (Spend Controls) to Ramp — each maps to any object or custom field on the other side.
Lookups Key-value mappings joined at query time, refreshable from external systems. General Ledger Accounts Chart-of-accounts entries uploaded from the ERP; accounting codings are posted back against transactions and bills. Lookups is specific to Apache Druid and General Ledger Accounts to Ramp — each maps to any object or custom field on the other side.
Tasks Batch ingestion and compaction jobs monitored during data loads. Transactions Card purchase records with merchant, amount, and state; read for spend/GL sync and written back via accounting codings and sync status. Tasks is specific to Apache Druid and Transactions to Ramp — each maps to any object or custom field on the other side.
Datasources The table-like unit of storage and querying, the main target of reads and ingestion. Cards Physical and virtual card records; created and managed through the API to provision or suspend cardholder spend. Datasources is specific to Apache Druid and Cards to Ramp — each maps to any object or custom field on the other side.
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. Users Employee and cardholder records; invited, updated, and deactivated, commonly synced from an HRIS or identity provider. Segments is specific to Apache Druid and Users to Ramp — each maps to any object or custom field on the other side.

How changes propagate between Apache Druid 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.

Apache Druid Ramp Interval-based propagation

DetectionStacksync polls Apache Druid for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Druid through streaming or batch ingestion rather than row updates.

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

Ramp Apache Druid 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 Apache Druid as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Apache Druid: No fixed API quotas; query concurrency is bounded by broker and historical node capacity.
  • 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 Apache Druid ⇄ Ramp

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid 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 Apache Druid or Ramp record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Apache Druid and Ramp connectors work

Apache Druid

Integration surface
REST API (SQL over HTTP and native JSON queries); JDBC via Avatica
Authentication
Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy
Change detection
Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates
Capabilities
read · write
Rate limits
No fixed API quotas; query concurrency is bounded by broker and historical node capacity

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
How it works

How to connect Apache Druid 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.

  1. 01

    Connect your apps

    Authenticate Apache Druid 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.

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

    Choose tables

    Pick the Apache Druid 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Apache Druid ⇄ Ramp
    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
    Apache Druid Ramp
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Druid and Ramp integration FAQ

SECURITY

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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.

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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 435 integrations available for Apache Druid and Ramp.

Popular · 7 of 435
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