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Data warehouse ⇄ CRM

Apache Pinot to ZoomInfo integration — real-time data sync

Keep Apache Pinot 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.

  • SOC 2 and 6 other compliance frameworks
  • 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 Pinot and ZoomInfo

Flow ZoomInfo data into Apache Pinot in real time — no exports, no schedulers, no custom scripts.

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

The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.

Stacksync does both with one connection. Intent Signals, Scoops, Technographics, Company Hierarchies from ZoomInfo land in Apache Pinot as live tables, updated within seconds, and columns computed in Apache Pinot write back to fields in ZoomInfo. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • 01 Align CRM account hierarchies with ZoomInfo's corporate hierarchy data.
  • 02 Enrich CRM accounts and contacts on a schedule so firmographics, titles, and phone numbers stay current.
  • 03 Sync Pinot aggregates into a warehouse to join low-latency metrics with modeled historical data.
  • 04 Serve user-facing analytics from Pinot while syncing daily rollups to finance and ops tools.

Common sync patterns

Cleanup that sticks

Deduplication and normalization done in Apache Pinot can be written back, so warehouse-side cleanup actually fixes the CRM.

CRM analytics on live data

Accounts, contacts, and activity from ZoomInfo are queryable in Apache Pinot moments after they change, so dashboards stop lagging the reality they describe.

Scores and segments back on the record

Lead scores, churn risk, or usage segments computed in Apache Pinot appear as fields in ZoomInfo, where the people working accounts actually see them.

What you can sync between Apache Pinot 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 Pinot objects ZoomInfo objects How this pairing syncs
Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. Company Hierarchies Parent and subsidiary linkage used to align CRM account hierarchies. Schemas is specific to Apache Pinot and Company Hierarchies to ZoomInfo — each maps to any object or custom field on the other side.
Segments Immutable data files that batch ingestion uploads and the cluster serves. Company Profiles Firmographic records covering industry, size, revenue, and location, matched against CRM accounts. Segments is specific to Apache Pinot and Company Profiles to ZoomInfo — each maps to any object or custom field on the other side.
Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. Contact Profiles Person records with title, email, phone, and company linkage, used to enrich leads and contacts. Real-time Tables is specific to Apache Pinot and Contact Profiles to ZoomInfo — each maps to any object or custom field on the other side.
Offline Tables Batch-loaded tables merged with real-time data at query time. Intent Signals Company-level topic scores indicating in-market buying behavior. Offline Tables is specific to Apache Pinot and Intent Signals to ZoomInfo — each maps to any object or custom field on the other side.
Indexes Inverted, range, and star-tree indexes that determine which sync queries run at low latency. Scoops Event-driven signals such as leadership changes, funding rounds, and new projects. Indexes is specific to Apache Pinot and Scoops to ZoomInfo — each maps to any object or custom field on the other side.
Tenants Logical groupings that isolate workloads on shared clusters. Technographics Technology install data per company, used for segmentation and territory planning. Tenants is specific to Apache Pinot and Technographics to ZoomInfo — each maps to any object or custom field on the other side.

How changes propagate between Apache Pinot and ZoomInfo

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.

Apache Pinot ZoomInfo Interval-based propagation

DetectionStacksync polls Apache Pinot for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Pinot via streaming ingestion or segment upload, not row-level writes.

DeliveryZoomInfo does not accept inbound record writes, so this direction carries requests rather than records: ZoomInfo's output flows back as field updates on the originating Apache Pinot records.

ZoomInfo Apache Pinot Interval-based propagation

DetectionStacksync polls ZoomInfo for changes on an incremental schedule, reading only records changed since the previous pass. Scheduled re-enrichment and polling.

DeliveryEach detected change is applied to Apache Pinot as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Apache Pinot: No fixed API quotas; query throughput depends on broker and server sizing.
  • ZoomInfo: Usage is metered by credits and contract-based limits rather than a single public rate limit.
What ships with Apache Pinot ⇄ ZoomInfo

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Pinot 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 Pinot or ZoomInfo record.

Observability

Monitoring

Track your Apache Pinot ⇄ 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 Pinot and ZoomInfo.

How the Apache Pinot and ZoomInfo connectors work

Apache Pinot

Integration surface
REST API (SQL queries via the broker; administration via the controller); JDBC client available
Authentication
Deployment-dependent: HTTP basic authentication or token-based auth where enabled
Change detection
Not applicable for reads out (polling by time column); data enters Pinot via streaming ingestion or segment upload, not row-level writes
Capabilities
read · write
Rate limits
No fixed API quotas; query throughput depends on broker and server sizing

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 Pinot 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 Pinot 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 Pinot connected
    ZoomInfo connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Apache Pinot and ZoomInfo integration FAQ

SECURITY

Security teams trust 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.

SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 367 integrations available for Apache Pinot and ZoomInfo.

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