Real-time
Two-way sync
Changes in Apache Doris or Gladly instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ CRM
Apache Doris to Gladly integration — real-time, two-way sync
Keep Apache Doris 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.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Apache Doris and Gladly
Sync Gladly into Apache Doris continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.
The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.
Stacksync does both with one connection. Tasks, Customer profiles, Conversations, Conversation items from Gladly land in Apache Doris as live tables, updated within seconds, and columns computed in Apache Doris write back to fields in Gladly. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Common use cases
- 01 Push conversation outcomes into a CRM so account teams see support context on their accounts.
- 02 Sync Gladly customer profiles with an order database so agents see purchase history and profile updates flow back.
- 03 Consolidate event and transactional data from multiple sources into one real-time OLAP layer.
- 04 Land CRM and operational database records in Doris for low-latency dashboards over fresh data.
Common sync patterns
Scores and segments back on the record
Lead scores, churn risk, or usage segments computed in Apache Doris appear as fields in Gladly, where the people working accounts actually see them.
A single customer view
Join Gladly's relationship data with billing, product, and support data in Apache Doris to build the customer picture the CRM alone cannot hold.
Cleanup that sticks
Deduplication and normalization done in Apache Doris can be written back, so warehouse-side cleanup actually fixes the CRM.
What you can sync between Apache Doris 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.
| Apache Doris objects | Gladly objects | How this pairing syncs | |
|---|---|---|---|
| Tables Columnar tables in one of Doris's table models, used as sync destinations. | Topics Categorization applied to conversations; the key dimension for contact-driver reporting. | Tables is specific to Apache Doris and Topics to Gladly — each maps to any object or custom field on the other side. | |
| Unique Key Tables Tables supporting primary-key upserts, the natural target for row-level syncs. | Tasks Follow-up work items created from external triggers or synced for workload reporting. | Unique Key Tables is specific to Apache Doris and Tasks to Gladly — each maps to any object or custom field on the other side. | |
| Aggregate Key Tables Tables that pre-aggregate on load, used for metric rollups. | Customer profiles The central entity; merges identifiers like email, phone, and order IDs, which syncs use for matching. | Aggregate Key Tables is specific to Apache Doris and Customer profiles to Gladly — each maps to any object or custom field on the other side. | |
| Partitions Range or list partitions that bound incremental loads. | Conversations Each customer's continuous timeline; status and outcomes sync to CRMs and warehouses. | Partitions is specific to Apache Doris and Conversations to Gladly — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed views readable for downstream syncs and BI. | Conversation items Individual messages across voice, SMS, chat, and email attached to the conversation. | Materialized Views is specific to Apache Doris and Conversation items to Gladly — each maps to any object or custom field on the other side. | |
| Users and Roles Principals used to grant the sync connection scoped access. | Agents User records used to attribute work in CX analytics. | Users and Roles is specific to Apache Doris and Agents to Gladly — each maps to any object or custom field on the other side. |
How changes propagate between Apache Doris and Gladly
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.
Apache Doris Gladly Interval-based propagation
DetectionStacksync polls Apache Doris for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition or timestamp columns for reads.
DeliveryEach detected change is written to Gladly through its API, with automatic retries and rate-limit backoff.
Gladly Apache Doris Sub-second propagation
DetectionGladly notifies Stacksync of record changes through webhook events. Webhook event subscriptions for conversation and customer events, supplemented by polling and report exports.
DeliveryEach detected change is applied to Apache Doris as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Apache Doris: No API quotas; load throughput depends on cluster resources and load-job configuration.
- Gladly: Subject to the platform's API rate limits.
What ships with Apache Doris ⇄ Gladly
Connect Apache Doris and Gladly for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Doris–Gladly connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Doris 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 Apache Doris or Gladly record.
Observability
Monitoring
Track your Apache Doris ⇄ Gladly sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Apache Doris and Gladly.
How the Apache Doris and Gladly connectors work
Apache Doris
- Integration surface
- MySQL wire protocol for SQL access; HTTP APIs (such as Stream Load) for bulk ingestion
- Authentication
- Database credentials
- Change detection
- Polling on partition or timestamp columns for reads; ingestion into Doris is push-based via load jobs
- Capabilities
- read · write
- Rate limits
- No API quotas; load throughput depends on cluster resources and load-job configuration
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 Apache Doris 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 Apache Doris 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.
Apache Doris
connected
Gladly
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Doris 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 · Apache Doris ⇄ 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.
Apache Doris GladlyCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Doris and Gladly integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Apache Doris and Gladly: authenticate both systems, choose the objects to sync (such as Apache Doris's Tables and Unique Key Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Change detection on Apache Doris: Polling on partition or timestamp columns for reads; ingestion into Doris is push-based via load jobs. 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: Tasks, Customer profiles, Conversations, Conversation items, plus custom fields where Gladly exposes them. On the Apache Doris side: Databases, Tables, Unique Key Tables, Aggregate Key Tables. 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 Apache Doris and Gladly: Scores and segments back on the record; A single customer view; Cleanup that sticks. Lead scores, churn risk, or usage segments computed in Apache Doris appear as fields in Gladly, where the people working accounts actually see them.
-
Apache Doris: MySQL wire protocol for SQL access; HTTP APIs (such as Stream Load) for bulk ingestion. Authentication: Database credentials. Gladly: REST API. Authentication: API tokens used with basic authentication tied to an agent email. Stacksync manages authentication, retries, and rate limits on both sides.
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.
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ISO 27001
HIPAA BAA
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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:
Related integrations
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