Real-time
Two-way sync
Changes in Braze or Elasticsearch instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Braze to Elasticsearch integration — real-time, two-way sync
Keep Braze 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
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 Braze and Elasticsearch
Mirror Braze's data into Elasticsearch so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Engineers integrate with tools like Braze through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Elasticsearch.
Stacksync mirrors Custom Events, Purchases, Segments, Campaigns from Braze into Ingest pipelines, Index templates, Indices, Documents in Elasticsearch and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Braze, so the tool and the database never disagree.
Common use cases
- Push product usage events from a database or warehouse into Braze to trigger onboarding and retention journeys.
- Keep subscription and consent states consistent between Braze subscription groups and the CRM or CDP of record.
- Sync CRM accounts and contacts into an Elasticsearch index to power internal search across customer records.
- Push product catalog data from an ERP or commerce database into Elasticsearch for storefront search.
Read Braze with a query
Records from Braze are ordinary rows in Elasticsearch; join them, index them, and use them in application logic without touching the vendor API.
Automate Braze from your codebase
Write to the synced tables in Elasticsearch and Stacksync propagates the change into Braze, replacing custom integration code.
React to changes as they happen
Updates in Braze arrive as row changes in Elasticsearch, so triggers, jobs, and services can respond in near real time.
What you can sync between Braze 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.
| Braze objects | Elasticsearch objects | |
|---|---|---|
| Custom Events Behavioral events pushed into Braze to trigger campaigns and Canvases. | Ingest pipelines Server-side transforms applied to documents as a sync writes them. | |
| Purchases Transaction records logged against profiles for revenue-based targeting. | Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | |
| Segments Audience definitions read for membership export and campaign targeting. | Indices Target containers for synced records; each holds a table-like collection of JSON documents. | |
| Campaigns Message sends whose metadata and analytics are read for reporting. | Documents The unit of sync; JSON records created, updated, and deleted by _id. | |
| Canvases Multi-step journeys; entry and performance data is read for lifecycle analysis. | Index mappings Field type definitions that determine how synced fields are indexed and queried. | |
| Subscription Groups Channel-level opt-in states synced with consent records in other systems. | Aliases Stable read/write names that let a sync cut over between index versions without downtime. |
What ships with Braze ⇄ Elasticsearch
Connect Braze and Elasticsearch for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Braze–Elasticsearch connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Braze 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 Braze or Elasticsearch record.
Observability
Monitoring
Track your Braze ⇄ Elasticsearch sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Braze and Elasticsearch.
How the Braze and Elasticsearch connectors work
Braze
- Integration surface
- REST API
- Authentication
- REST API keys scoped to specific endpoints, issued per workspace
- Change detection
- Braze Currents streams engagement events outward; profile reads otherwise rely on export endpoints and polling
- Capabilities
- read · write
- Rate limits
- Endpoints have per-endpoint rate limits documented by Braze; batch endpoints accept multiple users per request
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 Braze 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 Braze 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.
Braze
connected
Elasticsearch
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Braze 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 · Braze ⇄ 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.
Braze ElasticsearchCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Braze and Elasticsearch integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Braze and Elasticsearch: authenticate both systems, choose the objects to sync (such as Braze's Custom Events and Purchases), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Braze side: Custom Events, Purchases, Segments, Campaigns, plus custom fields where Braze exposes them. On the Elasticsearch side: Ingest pipelines, Index templates, Indices, Documents. 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.
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Common patterns for Braze and Elasticsearch: Read Braze with a query; Automate Braze from your codebase; React to changes as they happen. Records from Braze are ordinary rows in Elasticsearch; join them, index them, and use them in application logic without touching the vendor API.
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Braze: REST API. Authentication: REST API keys scoped to specific endpoints, issued per workspace. Elasticsearch: REST API (JSON over HTTP). Authentication: API keys or basic authentication; Elastic Cloud also issues service account tokens. Stacksync manages authentication, retries, and rate limits on both sides.
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Braze: Braze Currents streams granular engagement events to data warehouses and storage destinations, which is how message-level data typically leaves the platform. 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 Braze and Elasticsearch 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 Braze and Elasticsearch.
Popular · 8 of 386
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Braze ⇄ Azure SQL Database -
Braze ⇄ Citus -
Braze ⇄ Couchbase -
Braze ⇄ DuckDB -
Elasticsearch ⇄ Microsoft Dynamics 365 -
Elasticsearch ⇄ Microsoft Teams -
Elasticsearch ⇄ NextGen Healthcare -
Elasticsearch ⇄ Orderful
No integrations match .
