Real-time
Real-time sync
Changes in Apache Pinot or ZoomInfo instantly reflect in both systems. No stale data, no manual imports.
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
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
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
- Align CRM account hierarchies with ZoomInfo's corporate hierarchy data.
- Enrich CRM accounts and contacts on a schedule so firmographics, titles, and phone numbers stay current.
- Sync Pinot aggregates into a warehouse to join low-latency metrics with modeled historical data.
- Serve user-facing analytics from Pinot while syncing daily rollups to finance and ops tools.
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 | |
|---|---|---|
| Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. | Company Hierarchies Parent and subsidiary linkage used to align CRM account hierarchies. | |
| 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. | |
| 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. | |
| Offline Tables Batch-loaded tables merged with real-time data at query time. | Intent Signals Company-level topic scores indicating in-market buying behavior. | |
| 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. | |
| Tenants Logical groupings that isolate workloads on shared clusters. | Technographics Technology install data per company, used for segmentation and territory planning. |
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.
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.
- 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.
Apache Pinot
connected
ZoomInfo
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 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.
objects · Apache Pinot ⇄ ZoomInfoCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Apache Pinot ZoomInfoCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Pinot and ZoomInfo integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Apache Pinot and ZoomInfo — ZoomInfo is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
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Apache Pinot: 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. ZoomInfo: REST API organized around search and enrich endpoints. Authentication: API credentials exchanged for a short-lived JWT. Stacksync manages authentication, retries, and rate limits on both sides.
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ZoomInfo: ZoomInfo is a read-oriented data provider; syncs pull from it and write into the CRM or warehouse, not the reverse. Apache Pinot: Data is stored in immutable segments; batch writes happen by building and uploading segments rather than issuing row inserts. Stacksync's field mapping accounts for these differences between Apache Pinot and ZoomInfo without custom code.
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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 Pinot and ZoomInfo records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Pinot and ZoomInfo connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Pinot–ZoomInfo integration in-house.
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Yes — Stacksync ships production-grade connectors for both Apache Pinot and ZoomInfo. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Apache Pinot and ZoomInfo.
Popular · 8 of 386
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Apache Pinot ⇄ Kustomer -
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Apache Pinot ⇄ Nutshell -
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ZoomInfo ⇄ Apache Impala -
ZoomInfo ⇄ Apache Kylin -
ZoomInfo ⇄ Azure Synapse Analytics -
ZoomInfo ⇄ ClickHouse
No integrations match .
