Real-time
Real-time sync
Changes in Elasticsearch or ZoomInfo instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ CRM
Elasticsearch to ZoomInfo integration — real-time data sync
Keep Elasticsearch 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 Elasticsearch and ZoomInfo
Treat ZoomInfo like part of your database: its records live in Elasticsearch 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 Elasticsearch, so Elasticsearch 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 Elasticsearch, where it can be queried and joined like everything else.
Common use cases
- Feed technographic data into territory plans or scoring models in a warehouse.
- Align CRM account hierarchies with ZoomInfo's corporate hierarchy data.
- Feed enriched customer records into an index used for vector or hybrid search in AI applications.
- Sync CRM accounts and contacts into an Elasticsearch index to power internal search across customer records.
Trigger workflows from CRM changes
Field and stage updates in ZoomInfo arrive as row changes in Elasticsearch, ready to drive jobs and notifications.
Query the CRM like a database
Accounts, contacts, and custom objects from ZoomInfo become tables in Elasticsearch you can join with application data directly.
Product events onto CRM records
Signup, usage, or lifecycle changes written to Elasticsearch sync onto the matching records in ZoomInfo, giving go-to-market teams live product context.
What you can sync between Elasticsearch 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.
| Elasticsearch objects | ZoomInfo objects | |
|---|---|---|
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Technographics Technology install data per company, used for segmentation and territory planning. | |
| Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Company Hierarchies Parent and subsidiary linkage used to align CRM account hierarchies. | |
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Company Profiles Firmographic records covering industry, size, revenue, and location, matched against CRM accounts. | |
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | Contact Profiles Person records with title, email, phone, and company linkage, used to enrich leads and contacts. | |
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | Intent Signals Company-level topic scores indicating in-market buying behavior. | |
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Scoops Event-driven signals such as leadership changes, funding rounds, and new projects. |
What ships with Elasticsearch ⇄ ZoomInfo
Connect Elasticsearch and ZoomInfo for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–ZoomInfo connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Elasticsearch 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 Elasticsearch or ZoomInfo record.
Observability
Monitoring
Track your Elasticsearch ⇄ ZoomInfo sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Elasticsearch and ZoomInfo.
How the Elasticsearch and ZoomInfo connectors work
Elasticsearch
- Integration surface
- REST API (JSON over HTTP)
- Authentication
- API keys or basic authentication; Elastic Cloud also issues service account tokens
- Change detection
- Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks
- Capabilities
- read · write
- Rate limits
- No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity
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 Elasticsearch 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 Elasticsearch 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.
Elasticsearch
connected
ZoomInfo
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Elasticsearch 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 · Elasticsearch ⇄ 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.
Elasticsearch ZoomInfoCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Elasticsearch and ZoomInfo integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Elasticsearch 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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On the ZoomInfo side: Company Profiles, Contact Profiles, Intent Signals, Scoops, plus custom fields where ZoomInfo exposes them. On the Elasticsearch side: Index mappings, Aliases, Data streams, Ingest pipelines. Stacksync auto-detects both schemas and converts types between the two systems.
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ZoomInfo is a read-only source, so this integration runs one-way: Stacksync reads from ZoomInfo in real time and delivers into Elasticsearch. Field mapping and monitoring work the same as for two-way pairs.
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Common patterns for Elasticsearch and ZoomInfo: Trigger workflows from CRM changes; Query the CRM like a database; Product events onto CRM records. Field and stage updates in ZoomInfo arrive as row changes in Elasticsearch, ready to drive jobs and notifications.
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Elasticsearch: REST API (JSON over HTTP). Authentication: API keys or basic authentication; Elastic Cloud also issues service account tokens. 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. Elasticsearch: Optimistic concurrency uses _seq_no and _primary_term instead of row locks, which matters when two writers touch the same document. Stacksync's field mapping accounts for these differences between Elasticsearch and ZoomInfo without custom code.
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 Elasticsearch and ZoomInfo.
Popular · 8 of 386
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Elasticsearch ⇄ Clearbit -
Elasticsearch ⇄ Close -
Elasticsearch ⇄ Copper CRM -
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ZoomInfo ⇄ Oracle DB -
ZoomInfo ⇄ RavenDB -
ZoomInfo ⇄ Redis Enterprise -
ZoomInfo ⇄ SAP ASE (Sybase)
No integrations match .
