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Database ⇄ CRM

Apache Cassandra to ZoomInfo integration — real-time data sync

Keep Apache Cassandra and ZoomInfo 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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  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Apache Cassandra and ZoomInfo

Treat ZoomInfo like part of your database: its records live in Apache Cassandra as real tables, and writes in either place sync to the other in seconds.

ZoomInfo is a read-only source: Stacksync reads its data in real time and delivers it into Apache Cassandra, so Apache Cassandra always reflects the current state of ZoomInfo — without exports, scripts, or schedulers.

Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in Apache Cassandra, where it can be queried and joined like everything else.

Common use cases

  • Fill gaps in new lead records (email, phone, company size) as they enter the CRM.
  • Feed technographic data into territory plans or scoring models in a warehouse.
  • Feed Cassandra change streams into search indexes or caches that must track the source of truth.
  • Consolidate data from multiple keyspaces or clusters into one reporting store.

Query the CRM like a database

Accounts, contacts, and custom objects from ZoomInfo become tables in Apache Cassandra you can join with application data directly.

Product events onto CRM records

Signup, usage, or lifecycle changes written to Apache Cassandra sync onto the matching records in ZoomInfo, giving go-to-market teams live product context.

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the ZoomInfo API, limits, and retries.

What you can sync between Apache Cassandra and ZoomInfo

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 ZoomInfo objects
Keyspaces Top-level namespaces with replication settings that scope a sync connection. Company Profiles Firmographic records covering industry, size, revenue, and location, matched against CRM accounts.
Tables Wide-column tables addressed by partition key, the unit of row-level sync. Contact Profiles Person records with title, email, phone, and company linkage, used to enrich leads and contacts.
Partitions and Rows Records located by partition and clustering keys during reads and upserts. Intent Signals Company-level topic scores indicating in-market buying behavior.
Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. Scoops Event-driven signals such as leadership changes, funding rounds, and new projects.
Secondary Indexes Optional indexes that allow filtered reads outside the partition key. Technographics Technology install data per company, used for segmentation and territory planning.
User-Defined Types Composite column types that syncs must flatten or map to structured fields. Company Hierarchies Parent and subsidiary linkage used to align CRM account hierarchies.
What ships with Apache Cassandra ⇄ ZoomInfo

Connect Apache Cassandra and ZoomInfo for flexible, real-time data sync.

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Cassandra or ZoomInfo 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 Cassandra or ZoomInfo record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Cassandra and ZoomInfo.

How the Apache Cassandra and ZoomInfo connectors work

Apache Cassandra

Integration surface
CQL over the Cassandra native binary protocol
Authentication
Database credentials (password authenticator); TLS and role-based grants where configured
Change detection
Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns
Capabilities
read · write · CDC
Rate limits
No API quotas; throughput is governed by cluster capacity and consistency-level choices

ZoomInfo

Integration surface
REST API organized around search and enrich endpoints
Authentication
API credentials exchanged for a short-lived JWT
Change detection
Scheduled re-enrichment and polling; the platform is primarily a lookup and enrichment source, not an event stream
Capabilities
read
Rate limits
Usage is metered by credits and contract-based limits rather than a single public rate limit.
How it works

How to connect Apache Cassandra to ZoomInfo — 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 Cassandra and ZoomInfo 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 Cassandra connected
    ZoomInfo connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Cassandra and ZoomInfo 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 Cassandra ⇄ ZoomInfo
    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 Cassandra ZoomInfo
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Cassandra and ZoomInfo integration FAQ

SECURITY

Security teams love Stacksync

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.

Learn more about security
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

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 386 integrations available for Apache Cassandra and ZoomInfo.

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