Two-way sync
Changes in Apache Cassandra or Demandbase instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra and Demandbase in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Demandbase 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 People (Persons), Activities, Campaigns, Account & Person Lists (Audiences) from Demandbase into User-Defined Types, Collections, Counters, Keyspaces 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 Demandbase to drive campaigns and ads, with Demandbase kept authoritative for engagement. You decide which side owns which fields, and Stacksync resolves conflicts by rules you set.
Segments computed in Apache Cassandra from product usage, orders, or account status sync into Demandbase as lists or audiences, so campaigns and ads target the people your data says they should.
Opens, clicks, sends, RSVPs, or ad activity from Demandbase land in Apache Cassandra beside the matching customer record, ready for reporting and revenue attribution.
A new lead, form fill, or list change in Demandbase arrives as a row change in Apache Cassandra, so scoring, jobs, and notifications run in the tooling your team already uses.
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 | Demandbase objects | How this pairing syncs | |
|---|---|---|---|
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Accounts Company/account records with firmographics, intent, and Demandbase qualification and engagement scores; exported via the Data Export API and imported or updated via the Data Import API. | Keyspaces is specific to Apache Cassandra and Accounts to Demandbase — 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. | Opportunities Opportunity records synced from the CRM into Demandbase; exported with calculated insights and imported or updated through the Data Import API. Read and write. | Tables is specific to Apache Cassandra and Opportunities to Demandbase — 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. | People (Persons) Contact/person records with verified business email, title, seniority, and quality grades; fetched and matched via the B2B Contact endpoints and exported or imported. | Partitions and Rows is specific to Apache Cassandra and People (Persons) to Demandbase — 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 and custom activity records (web, campaign, intent); exported via Data Export and pushed in through the Data Import API using custom activity types. | Materialized Views is specific to Apache Cassandra and Activities to Demandbase — 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 Marketing campaign records and creative assets exported through the Data Export API; read-only reporting feed. | Secondary Indexes is specific to Apache Cassandra and Campaigns to Demandbase — each maps to any object or custom field on the other side. | |
| User-Defined Types Composite column types that syncs must flatten or map to structured fields. | Account & Person Lists (Audiences) Named account and person segments exported via Data Export; custom audiences pushed into Demandbase through the Data Import API. Read and write. | User-Defined Types is specific to Apache Cassandra and Account & Person Lists (Audiences) to Demandbase — 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 Demandbase through its API, with automatic retries and rate-limit backoff.
DetectionDemandbase notifies Stacksync of record changes through webhook events. Subscription API webhooks - company firmographic, company news, family-tree (ownership), and person employment-change alerts to a configurable URL.
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–Demandbase connection.
Changes in Apache Cassandra or Demandbase instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or Demandbase 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 Demandbase record.
Track your Apache Cassandra ⇄ Demandbase sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Demandbase.
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 Demandbase 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 Demandbase 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 Demandbase: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Keyspaces and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Apache Cassandra: CQL over the Cassandra native binary protocol. Authentication: Database credentials (password authenticator); TLS and role-based grants where configured. Demandbase: REST APIs (Demandbase One) - a B2B API (company/contact search, details, and match with async bulk enrichment jobs), a read-only Data Export API and a write-capable Data Import API (both async bulk jobs), and a Subscription API for webhook change alerts. Authentication: JWT bearer tokens minted from Demandbase One API Key Sets at the platform level; each credential set expires after 8 hours and is rotated. Legacy single-user API tokens are deprecated. Stacksync manages authentication, retries, and rate limits on both sides.
Apache Cassandra: Data modeling is query-first and denormalized: tables are designed around partition keys, and there are no joins, so syncs address rows by partition and clustering keys. Demandbase: Demandbase splits data movement across a read-only Data Export API (accounts, opportunities, people, activities, campaigns, lists) and a write-capable Data Import API (import or update accounts, opportunities, persons, activities, intent, and custom source data). Stacksync's field mapping accounts for these differences between Apache Cassandra and Demandbase 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 Demandbase 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 Demandbase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–Demandbase integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Cassandra and Demandbase. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Demandbase.