Two-way sync
Changes in Cloudera Data Platform or Demandbase instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform 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.
Cloudera Data Platform is where your team models customers, product usage, and revenue into trusted tables; Demandbase runs the campaigns, audiences, and messages that reach those people. The two overlap wherever the same person, account, or segment matters to both, and when the bridge between them is a nightly export or a hand-built list, marketing targets stale data while analytics never sees what the campaign returned.
Stacksync syncs Partitions, Object store / HDFS files, Databases, Hive tables in Cloudera Data Platform with Change Subscriptions, Accounts, Opportunities, People (Persons) in Demandbase field by field, in real time, and in both directions. You decide which system owns which fields — a computed score or segment can flow out to Demandbase while sends, opens, and conversions flow back to Cloudera Data Platform — and Stacksync keeps every copy consistent and resolves conflicts by rules you set.
Product-usage counts, plan tier, region, or account owner computed in Cloudera Data Platform appear on the matching record in Demandbase, so targeting, routing, and personalization use up-to-date context.
A segment or score built in Cloudera Data Platform — high-intent accounts, churn risk, a lifetime-value tier — lands as an audience or contact field in Demandbase, so campaigns target the people your data actually points to instead of a static export.
New and updated contacts, leads, or audience members flow between Cloudera Data Platform and Demandbase, so the marketing audience reflects the people in your warehouse and corrections propagate instead of the two sides drifting apart.
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.
| Cloudera Data Platform objects | Demandbase objects | How this pairing syncs | |
|---|---|---|---|
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | 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. | Kudu tables is specific to Cloudera Data Platform and Opportunities to Demandbase — each maps to any object or custom field on the other side. | |
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | 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. | Iceberg tables is specific to Cloudera Data Platform and People (Persons) to Demandbase — each maps to any object or custom field on the other side. | |
| Views SQL views that can present curated, sync-ready projections of raw lake data. | 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. | Views is specific to Cloudera Data Platform and Activities to Demandbase — each maps to any object or custom field on the other side. | |
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Campaigns Marketing campaign records and creative assets exported through the Data Export API; read-only reporting feed. | Partitions is specific to Cloudera Data Platform and Campaigns to Demandbase — each maps to any object or custom field on the other side. | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | 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. | Object store / HDFS files is specific to Cloudera Data Platform and Account & Person Lists (Audiences) to Demandbase — each maps to any object or custom field on the other side. | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Company Details (B2B enrichment) Firmographics, technographics, competitors, and corporate family tree fetched by domain or name via the B2B Company Search and Details endpoints; read-only enrichment. | Databases is specific to Cloudera Data Platform and Company Details (B2B enrichment) 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.
DetectionStacksync polls Cloudera Data Platform for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL on timestamp or partition 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 applied to Cloudera Data Platform as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Demandbase connection.
Changes in Cloudera Data Platform or Demandbase instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform 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 Cloudera Data Platform or Demandbase record.
Track your Cloudera Data Platform ⇄ Demandbase sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform 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 Cloudera Data Platform 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 Cloudera Data Platform 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 Cloudera Data Platform and Demandbase: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Kudu tables and Iceberg tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Cloudera Data Platform side: Partitions, Object store / HDFS files, Databases, Hive tables, plus custom fields where Cloudera Data Platform exposes them. On the Demandbase side: Change Subscriptions, Accounts, Opportunities, People (Persons). 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 Cloudera Data Platform and Demandbase: Enrich records with warehouse context; Activate a modeled audience; Keep the contact and audience list current. Product-usage counts, plan tier, region, or account owner computed in Cloudera Data Platform appear on the matching record in Demandbase, so targeting, routing, and personalization use up-to-date context.
Cloudera Data Platform: JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs. Authentication: Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway. 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.
Cloudera Data Platform: CDP bundles open-source engines (Hive, Impala, Spark, Kudu) behind a shared Hive Metastore and shared security via Apache Ranger, so integrations usually target a SQL endpoint rather than storage directly. 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 Cloudera Data Platform and Demandbase 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 396 integrations available for Cloudera Data Platform and Demandbase.