Two-way sync
Changes in Apache Cassandra or Eloqua instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra and Eloqua in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Eloqua holds the people, audiences, and campaign activity that marketing runs on, but that data sits behind interfaces built for marketers, not for your internal systems. Engineers and analysts who need contacts, list membership, or engagement, for reporting, attribution, or product logic, end up writing integration code against a rate-limited API and maintaining it forever. Meanwhile the customer and usage data marketers want for targeting already lives in Apache Cassandra, hard to get into campaigns without manual exports.
Stacksync mirrors Contact Lists and Segments, Contacts, Accounts, Custom Data Objects from Eloqua into Keyspaces, Tables, Partitions and Rows, Materialized Views in Apache Cassandra field by field, in real time, and in both directions. Marketing records become rows your code can query and join with product and customer data; audiences and attributes computed in Apache Cassandra, from usage, orders, or account status, sync back into Eloqua to drive campaigns and ads, with Eloqua kept authoritative for engagement. You decide which side owns which fields, and Stacksync resolves conflicts by rules you set.
Opens, clicks, sends, RSVPs, or ad activity from Eloqua land in Apache Cassandra beside the matching customer record, ready for reporting and revenue attribution.
A new lead, form fill, or list change in Eloqua arrives as a row change in Apache Cassandra, so scoring, jobs, and notifications run in the tooling your team already uses.
Lifecycle stage, subscription status, or plan maintained on either side stays current on the other, ending exports and dual data entry.
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 | Eloqua objects | How this pairing syncs | |
|---|---|---|---|
| Counters Increment-only counter columns, usually read-only in syncs. | Contact Lists and Segments Shared lists (static) and segments (dynamic audiences); Contacts are added to or removed from shared lists based on lifecycle stage computed downstream. | Counters is specific to Apache Cassandra and Contact Lists and Segments to Eloqua — each maps to any object or custom field on the other side. | |
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Contacts Core person records, keyed on email address as the unique identifier; imported/exported via the Bulk API and upserted on email, synced two-way with CRM, warehouse, and app databases. | Keyspaces is specific to Apache Cassandra and Contacts to Eloqua — 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. | Accounts Company records linked to Contacts via the account-linkage field; moved through the Bulk API and typically mastered in a CRM or ERP and written into Eloqua. | Tables is specific to Apache Cassandra and Accounts to Eloqua — 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. | Custom Data Objects Auxiliary data tables (CDOs) linked to Contacts for records like event registrations or purchases; synced via the Bulk API so nurture campaigns can branch on them. | Partitions and Rows is specific to Apache Cassandra and Custom Data Objects to Eloqua — 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. | Activities Engagement events (email opens, clicks, form submits, bounces, page views, subscribes/unsubscribes) exported through the Bulk API activities export; read-only feed for scoring and attribution. | Materialized Views is specific to Apache Cassandra and Activities to Eloqua — each maps to any object or custom field on the other side. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Campaigns Multi-step campaign-canvas assets managed through the Application REST API; campaign membership and response data read out for attribution reporting. | Secondary Indexes is specific to Apache Cassandra and Campaigns to Eloqua — 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 Eloqua through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Eloqua for changes on an incremental schedule, reading only records changed since the previous pass. Polling via Bulk API exports filtered on a contact/account modified-date field using EML filter syntax.
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–Eloqua connection.
Changes in Apache Cassandra or Eloqua instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or Eloqua 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 Eloqua record.
Track your Apache Cassandra ⇄ Eloqua sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Eloqua.
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 Eloqua 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 Eloqua 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 Eloqua: 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.
On the Apache Cassandra side: Keyspaces, Tables, Partitions and Rows, Materialized Views, plus custom fields where Apache Cassandra exposes them. On the Eloqua side: Contact Lists and Segments, Contacts, Accounts, Custom Data Objects. Stacksync auto-detects both schemas and converts types between the two systems.
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 Apache Cassandra and Eloqua: Engagement and results next to the customer; React to marketing changes as row changes; Keep contact attributes consistent. Opens, clicks, sends, RSVPs, or ad activity from Eloqua land in Apache Cassandra beside the matching customer record, ready for reporting and revenue attribution.
Apache Cassandra: CQL over the Cassandra native binary protocol. Authentication: Database credentials (password authenticator); TLS and role-based grants where configured. Eloqua: Bulk API 2.0 (contacts, accounts, custom data objects, activities) plus Application REST API (campaigns, emails, forms, lists). Authentication: OAuth 2.0 (Authorization Code or Resource Owner Password Credentials grant; Client Credentials not supported) or HTTP Basic Auth with siteName + username + password; the instance base URL must first be discovered via the login.eloqua.com/id endpoint. Stacksync manages authentication, retries, and rate limits on both sides.
Apache Cassandra: Consistency is tunable per operation (for example ONE, QUORUM, ALL), letting syncs trade latency against read/write guarantees. Eloqua: Import definitions accept a maximum of 100 fields and export definitions a maximum of 250 fields; posts to a staging area are capped at 32 MB and retrieves return up to 50,000 records per batch. Stacksync's field mapping accounts for these differences between Apache Cassandra and Eloqua without custom code.
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 390 integrations available for Apache Cassandra and Eloqua.