Real-time
Two-way sync
Changes in Affinity or Elasticsearch instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
Affinity to Elasticsearch integration — real-time, two-way sync
Keep Affinity and Elasticsearch 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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Migrated from Celigo
Why teams connect Affinity and Elasticsearch
Treat Affinity like part of your database: its records live in Elasticsearch as real tables, and writes in either place sync to the other in seconds.
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.
Stacksync mirrors Interactions, Reminders, Lists, List Entries from Affinity into Data streams, Ingest pipelines, Index templates, Indices in Elasticsearch with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Affinity with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Common use cases
- Sync notes and reminders into project or task systems used outside the deal team.
- Mirror deal-flow lists into a warehouse or BI tool for pipeline and portfolio reporting.
- Push product catalog data from an ERP or commerce database into Elasticsearch for storefront search.
- Mirror support tickets into an index used for full-text search and agent-assist tooling.
Query the CRM like a database
Accounts, contacts, and custom objects from Affinity 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 Affinity, 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 Affinity API, limits, and retries.
What you can sync between Affinity and Elasticsearch
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.
| Affinity objects | Elasticsearch objects | |
|---|---|---|
| Lists Pipelines (deal flow, fundraising, portfolio) that structure most Affinity data; syncs usually target a specific list. | Data streams Append-only targets for time-series or event data pushed from source systems. | |
| List Entries The membership of a person, organization, or opportunity on a list, carrying its list-specific fields. | Ingest pipelines Server-side transforms applied to documents as a sync writes them. | |
| Persons Contact records enriched with relationship intelligence, synced with CRMs and outreach tools. | Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | |
| Organizations Company records matched to accounts in other systems by domain. | Indices Target containers for synced records; each holds a table-like collection of JSON documents. | |
| Opportunities Deal records tracked on lists and synced with pipeline reporting. | Documents The unit of sync; JSON records created, updated, and deleted by _id. | |
| Field Values Custom field data, either global or scoped to a list, mapped field-by-field in syncs. | Index mappings Field type definitions that determine how synced fields are indexed and queried. |
What ships with Affinity ⇄ Elasticsearch
Connect Affinity and Elasticsearch for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Affinity–Elasticsearch connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Affinity or Elasticsearch 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 Affinity or Elasticsearch record.
Observability
Monitoring
Track your Affinity ⇄ Elasticsearch sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Affinity and Elasticsearch.
How the Affinity and Elasticsearch connectors work
Affinity
- Integration surface
- REST API
- Authentication
- API key
- Change detection
- Webhook subscriptions for record events, supplemented by polling
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to the platform's published API rate limits
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
How it works
How to connect Affinity to Elasticsearch — 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 Affinity and Elasticsearch with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Affinity
connected
Elasticsearch
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Affinity and Elasticsearch 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 · Affinity ⇄ ElasticsearchCustomers 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.
Affinity ElasticsearchCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Affinity and Elasticsearch integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Affinity and Elasticsearch: authenticate both systems, choose the objects to sync (such as Affinity's Lists and List Entries), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Affinity and Elasticsearch connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Affinity–Elasticsearch integration in-house.
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Yes — Stacksync ships production-grade connectors for both Affinity and Elasticsearch. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Affinity: Webhook subscriptions for record events, supplemented by polling. On Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Affinity side: Interactions, Reminders, Lists, List Entries, plus custom fields where Affinity exposes them. On the Elasticsearch side: Data streams, Ingest pipelines, Index templates, Indices. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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 Affinity and Elasticsearch.
Popular · 8 of 386
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Affinity ⇄ CockroachDB -
Affinity ⇄ Google AlloyDB -
Affinity ⇄ Dynamo DB -
Affinity ⇄ IBM Db2 -
Elasticsearch ⇄ HubSpot -
Elasticsearch ⇄ Microsoft Dynamics 365 Sales -
Elasticsearch ⇄ Attio -
Elasticsearch ⇄ Pipedrive
No integrations match .
