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CRM ⇄ Database

Attio to Elasticsearch integration — real-time, two-way sync

Keep Attio 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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Why teams connect Attio and Elasticsearch

Treat Attio 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 People, Companies, Users, Deals from Attio 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 Attio 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

  • 01 Run a two-way dual-run when migrating to Attio from another CRM.
  • 02 Sync companies, people, and deals with Postgres so ops teams enrich and update CRM records with SQL.
  • 03 Feed enriched customer records into an index used for vector or hybrid search in AI applications.
  • 04 Sync CRM accounts and contacts into an Elasticsearch index to power internal search across customer records.

Common sync patterns

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the Attio API, limits, and retries.

Trigger workflows from CRM changes

Field and stage updates in Attio arrive as row changes in Elasticsearch, ready to drive jobs and notifications.

Query the CRM like a database

Accounts, contacts, and custom objects from Attio become tables in Elasticsearch you can join with application data directly.

What you can sync between Attio 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.

Attio objects Elasticsearch objects How this pairing syncs
Custom objects Workspace-defined objects that behave like standard ones in the API. Index templates Reusable settings and mappings applied automatically to new indices a sync creates. Custom objects is specific to Attio and Index templates to Elasticsearch — each maps to any object or custom field on the other side.
People Standard person object; synced with marketing tools and warehouse person tables. Indices Target containers for synced records; each holds a table-like collection of JSON documents. People is specific to Attio and Indices to Elasticsearch — each maps to any object or custom field on the other side.
Companies Standard company object; matched to billing and product accounts in two-way syncs. Documents The unit of sync; JSON records created, updated, and deleted by _id. Companies is specific to Attio and Documents to Elasticsearch — each maps to any object or custom field on the other side.
Users Synced with incremental and full sync per the Stacksync docs. Index mappings Field type definitions that determine how synced fields are indexed and queried. Users is specific to Attio and Index mappings to Elasticsearch — each maps to any object or custom field on the other side.
Deals Pipeline records; read out for revenue reporting and written to from automation. Aliases Stable read/write names that let a sync cut over between index versions without downtime. Deals is specific to Attio and Aliases to Elasticsearch — each maps to any object or custom field on the other side.
Workspaces Synced with incremental and full sync per the Stacksync docs. Data streams Append-only targets for time-series or event data pushed from source systems. Workspaces is specific to Attio and Data streams to Elasticsearch — each maps to any object or custom field on the other side.

How changes propagate between Attio and Elasticsearch

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.

Attio Elasticsearch Sub-second propagation

DetectionAttio notifies Stacksync of record changes through webhook events. Webhooks on record and list-entry events, with polling as a fallback.

DeliveryEach detected change is written to Elasticsearch through its API, with automatic retries and rate-limit backoff.

Elasticsearch Attio Interval-based propagation

DetectionStacksync polls Elasticsearch for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or sequence fields.

DeliveryEach detected change is written to Attio through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Attio: Subject to the platform's published API rate limits.
  • Elasticsearch: No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity.
What ships with Attio ⇄ Elasticsearch

Connect Attio and Elasticsearch for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Attio or Elasticsearch instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Attio 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 Attio or Elasticsearch record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Attio and Elasticsearch.

How the Attio and Elasticsearch connectors work

Attio

Integration surface
REST API
Authentication
Guided in-app connection ("Attio CRM" connection created in a few clicks, "without any coding required"); the docs do not name the underlying auth mechanism (OAuth vs API key)
Change detection
Webhooks on record and list-entry events, with polling as a fallback
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's published API rate limits.
Attio setup guide

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 Attio 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.

  1. 01

    Connect your apps

    Authenticate Attio 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Attio connected
    Elasticsearch connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Attio 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Attio ⇄ Elasticsearch
    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
    Attio Elasticsearch
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Attio and Elasticsearch 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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 544 integrations available for Attio and Elasticsearch.

Popular · 8 of 544
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