Two-way sync
Changes in Gladly or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Keep Gladly and Redis Enterprise in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Redis Enterprise, where it can be queried and joined like everything else.
Stacksync mirrors Customer profiles, Conversations, Conversation items, Agents from Gladly into Sorted Sets, Lists, Streams, Pub/Sub channels in Redis Enterprise 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.
Signup, usage, or lifecycle changes written to Redis Enterprise sync onto the matching records in Gladly, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the Gladly API, limits, and retries.
Field and stage updates in Gladly arrive as row changes in Redis Enterprise, ready to drive jobs and notifications.
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.
| Gladly objects | Redis Enterprise objects | |
|---|---|---|
| Conversation items Individual messages across voice, SMS, chat, and email attached to the conversation. | Pub/Sub channels Fire-and-forget messaging used to notify applications when synced keys change. | |
| Agents User records used to attribute work in CX analytics. | Search indexes Secondary indexes (RediSearch) that make synced hashes and JSON documents queryable. | |
| Topics Categorization applied to conversations; the key dimension for contact-driver reporting. | Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values. | |
| Tasks Follow-up work items created from external triggers or synced for workload reporting. | Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID. | |
| Customer profiles The central entity; merges identifiers like email, phone, and order IDs, which syncs use for matching. | JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. | |
| Conversations Each customer's continuous timeline; status and outcomes sync to CRMs and warehouses. | Sets Unordered unique-member collections used for membership checks like segment or ID lists. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gladly–Redis Enterprise connection.
Changes in Gladly or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Gladly or Redis Enterprise data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Gladly or Redis Enterprise record.
Track your Gladly ⇄ Redis Enterprise sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Gladly and Redis Enterprise.
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.
Authenticate Gladly and Redis Enterprise with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Gladly and Redis Enterprise 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Gladly and Redis Enterprise: authenticate both systems, choose the objects to sync (such as Gladly's Conversation items and Agents), map fields visually, and changes propagate both ways in milliseconds — no code required.
Gladly: REST API. Authentication: API tokens used with basic authentication tied to an agent email. Redis Enterprise: Redis wire protocol (RESP) via client libraries; separate REST API for cluster management. Authentication: Password or ACL-based credentials, typically over TLS. Stacksync manages authentication, retries, and rate limits on both sides.
Gladly: Gladly's model is customer-centric rather than ticket-centric: each customer has one continuous conversation timeline, and channel interactions attach as conversation items. Redis Enterprise: Redis Enterprise adds clustering, tiered storage, and Active-Active geo-replication (CRDT-based) on top of open-source Redis. Stacksync's field mapping accounts for these differences between Gladly and Redis Enterprise without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Gladly and Redis Enterprise records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Gladly and Redis Enterprise connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Gladly–Redis Enterprise integration in-house.
Yes — Stacksync ships production-grade connectors for both Gladly and Redis Enterprise. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Gladly and Redis Enterprise.