Real-time
Two-way sync
Changes in Elasticsearch or Gladly instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ CRM
Elasticsearch to Gladly integration — real-time, two-way sync
Keep Elasticsearch and Gladly 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 Gladly
Treat Gladly 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 Customer profiles, Conversations, Conversation items, Agents from Gladly into Index mappings, Aliases, Data streams, Ingest pipelines in Elasticsearch with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Gladly 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
- Mirror conversations and topics into a warehouse for CX analytics and staffing models.
- Keep customer attributes such as loyalty tier and lifetime value synced from a warehouse into Gladly profiles for routing and prioritization.
- Mirror support tickets into an index used for full-text search and agent-assist tooling.
- Feed enriched customer records into an index used for vector or hybrid search in AI applications.
Query the CRM like a database
Accounts, contacts, and custom objects from Gladly 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 Gladly, 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 Gladly API, limits, and retries.
What you can sync between Elasticsearch and Gladly
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 | Gladly objects | |
|---|---|---|
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | Tasks Follow-up work items created from external triggers or synced for workload reporting. | |
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Customer profiles The central entity; merges identifiers like email, phone, and order IDs, which syncs use for matching. | |
| Data streams Append-only targets for time-series or event data pushed from source systems. | Conversations Each customer's continuous timeline; status and outcomes sync to CRMs and warehouses. | |
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Conversation items Individual messages across voice, SMS, chat, and email attached to the conversation. | |
| Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Agents User records used to attribute work in CX analytics. | |
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Topics Categorization applied to conversations; the key dimension for contact-driver reporting. |
What ships with Elasticsearch ⇄ Gladly
Connect Elasticsearch and Gladly for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Gladly connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Elasticsearch or Gladly 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 Gladly record.
Observability
Monitoring
Track your Elasticsearch ⇄ Gladly 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 Gladly.
How the Elasticsearch and Gladly 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
Gladly
- Integration surface
- REST API
- Authentication
- API tokens used with basic authentication tied to an agent email
- Change detection
- Webhook event subscriptions for conversation and customer events, supplemented by polling and report exports
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to the platform's API rate limits
How it works
How to connect Elasticsearch to Gladly — 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 Gladly 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
Gladly
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Elasticsearch and Gladly 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 ⇄ GladlyCustomers 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 GladlyCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Elasticsearch and Gladly integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and Gladly: authenticate both systems, choose the objects to sync (such as Elasticsearch's Index mappings and Aliases), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Elasticsearch and Gladly. 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 Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. On Gladly: Webhook event subscriptions for conversation and customer events, supplemented by polling and report exports. 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 Gladly side: Customer profiles, Conversations, Conversation items, Agents, plus custom fields where Gladly 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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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 Elasticsearch and Gladly: Query the CRM like a database; Product events onto CRM records; Internal tools without API code. Accounts, contacts, and custom objects from Gladly become tables in Elasticsearch you can join with application data directly.
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 Gladly.
Popular · 8 of 386
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Elasticsearch ⇄ Kommo -
Elasticsearch ⇄ Kustomer -
Elasticsearch ⇄ Nimble -
Elasticsearch ⇄ Nutshell -
Gladly ⇄ VoltDB -
Gladly ⇄ YugabyteDB -
Gladly ⇄ PostgreSQL -
Gladly ⇄ Amazon RDS
No integrations match .
