Two-way sync
Changes in Apache Cassandra or Ramp instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra 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.
Engineers need finance data more often than finance systems make it easy to get: for internal tools, reporting services, or logic that reacts to invoices and payments. Working through the vendor API means rate limits, pagination, and glue code that has to be maintained forever.
Stacksync mirrors Vendors, Funds (Spend Controls), General Ledger Accounts, Transactions from Ramp into Secondary Indexes, User-Defined Types, Collections, Counters in Apache Cassandra and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Apache Cassandra, and rows your code writes or updates flow back into Ramp with validation, so the finance system stays the system of record.
Updates written to the synced tables in Apache Cassandra propagate into Ramp, so automations can create or correct finance records without custom integration code.
Changes in Ramp appear in Apache Cassandra as row changes, so you can trigger downstream logic with the database tooling you already use.
Customers, invoices, and payments from Ramp live in Apache Cassandra as regular tables or collections your team can join, index, and query.
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 Cassandra objects | Ramp objects | How this pairing syncs | |
|---|---|---|---|
| Counters Increment-only counter columns, usually read-only in syncs. | Transactions Card purchase records with merchant, amount, and state; read for spend/GL sync and written back via accounting codings and sync status. | Counters is specific to Apache Cassandra and Transactions to Ramp — each maps to any object or custom field on the other side. | |
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Cards Physical and virtual card records; created and managed through the API to provision or suspend cardholder spend. | Keyspaces is specific to Apache Cassandra and Cards to Ramp — each maps to any object or custom field on the other side. | |
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | Users Employee and cardholder records; invited, updated, and deactivated, commonly synced from an HRIS or identity provider. | Tables is specific to Apache Cassandra and Users to Ramp — each maps to any object or custom field on the other side. | |
| Partitions and Rows Records located by partition and clustering keys during reads and upserts. | Departments Org groupings for cost-center and GL allocation; pushed from an ERP/HRIS and referenced by cards and transactions. | Partitions and Rows is specific to Apache Cassandra and Departments to Ramp — each maps to any object or custom field on the other side. | |
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | Reimbursements Out-of-pocket expense claims; read for reporting and marked ready-to-sync then synced to the ERP. | Materialized Views is specific to Apache Cassandra and Reimbursements to Ramp — each maps to any object or custom field on the other side. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Bills Accounts-payable bills; created, updated, approved, and paid, then posted ready-to-sync and synced to accounting. | Secondary Indexes is specific to Apache Cassandra and Bills to Ramp — each maps to any object or custom field on the other side. |
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.
DetectionChanges in Apache Cassandra are captured at the source via change data capture — no polling loop against its API. Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns.
DeliveryEach detected change is written to Ramp through its API, with automatic retries and rate-limit backoff.
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 Apache Cassandra through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Ramp connection.
Changes in Apache Cassandra or Ramp instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or Ramp data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apache Cassandra or Ramp record.
Track your Apache Cassandra ⇄ Ramp sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Ramp.
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.
Authenticate Apache Cassandra 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.
Pick the Apache Cassandra 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Apache Cassandra and Ramp: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Counters and Keyspaces), map fields visually, and changes propagate both ways in milliseconds — no code required.
Ramp: Vendors and GL accounts live under the /accounting namespace keyed to accounting connections and entities, so multi-entity setups are mapped per entity. Apache Cassandra: Every write carries a timestamp (writetime) per cell, which integrations can use for incremental extraction and conflict resolution. Stacksync's field mapping accounts for these differences between Apache Cassandra and Ramp without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Apache Cassandra and Ramp records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Cassandra and Ramp connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–Ramp integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Cassandra and Ramp. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apache Cassandra: Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns. 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.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 425 integrations available for Apache Cassandra and Ramp.