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Data warehouse ⇄ CRM

Dremio to ZoomInfo integration — real-time data sync

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

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Why teams connect Dremio and ZoomInfo

Flow ZoomInfo data into Dremio 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 Dremio, so Dremio 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. Contact Profiles, Intent Signals, Scoops, Technographics from ZoomInfo land in Dremio as live tables, updated within seconds, and columns computed in Dremio 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 curated Dremio views into an operational Postgres so applications get low-latency access to lakehouse data.
  • 04 Reverse-ETL aggregates computed over lake data out to CRMs and finance tools for business users.

Common sync patterns

CRM analytics on live data

Accounts, contacts, and activity from ZoomInfo are queryable in Dremio 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 Dremio appear as fields in ZoomInfo, where the people working accounts actually see them.

A single customer view

Join ZoomInfo's relationship data with billing, product, and support data in Dremio to build the customer picture the CRM alone cannot hold.

What you can sync between Dremio 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.

Dremio objects ZoomInfo objects How this pairing syncs
Jobs Query execution records useful for monitoring sync workloads. Technographics Technology install data per company, used for segmentation and territory planning. Jobs is specific to Dremio and Technographics to ZoomInfo — each maps to any object or custom field on the other side.
Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. Company Hierarchies Parent and subsidiary linkage used to align CRM account hierarchies. Sources is specific to Dremio and Company Hierarchies to ZoomInfo — each maps to any object or custom field on the other side.
Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. Company Profiles Firmographic records covering industry, size, revenue, and location, matched against CRM accounts. Physical datasets is specific to Dremio and Company Profiles to ZoomInfo — each maps to any object or custom field on the other side.
Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. Contact Profiles Person records with title, email, phone, and company linkage, used to enrich leads and contacts. Virtual datasets (views) is specific to Dremio and Contact Profiles to ZoomInfo — each maps to any object or custom field on the other side.
Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. Intent Signals Company-level topic scores indicating in-market buying behavior. Apache Iceberg tables is specific to Dremio and Intent Signals to ZoomInfo — each maps to any object or custom field on the other side.
Spaces and folders Namespaces that organize virtual datasets and govern access. Scoops Event-driven signals such as leadership changes, funding rounds, and new projects. Spaces and folders is specific to Dremio and Scoops to ZoomInfo — each maps to any object or custom field on the other side.

How changes propagate between Dremio 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.

Dremio ZoomInfo Interval-based propagation

DetectionStacksync polls Dremio for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL.

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 Dremio records.

ZoomInfo Dremio 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 Dremio as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Dremio: Bounded by engine capacity and workload management rather than API rate limits.
  • ZoomInfo: Usage is metered by credits and contract-based limits rather than a single public rate limit.
What ships with Dremio ⇄ ZoomInfo

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Dremio 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 Dremio or ZoomInfo record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Dremio and ZoomInfo connectors work

Dremio

Integration surface
Arrow Flight SQL, JDBC/ODBC, and a REST API
Authentication
Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
Change detection
Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
Capabilities
read · write
Rate limits
Bounded by engine capacity and workload management rather than API rate limits

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

    Choose tables

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

Dremio 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 364 integrations available for Dremio and ZoomInfo.

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