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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.

  • 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 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

  • Push conversation outcomes into a CRM so account teams see support context on their accounts.
  • Sync Gladly customer profiles with an order database so agents see purchase history and profile updates flow back.
  • Consolidate event and transactional data from multiple sources into one real-time OLAP layer.
  • Land CRM and operational database records in Doris for low-latency dashboards over fresh data.

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
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.
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.
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.
Partitions Range or list partitions that bound incremental loads. Conversations Each customer's continuous timeline; status and outcomes sync to CRMs and warehouses.
Materialized Views Precomputed views readable for downstream syncs and BI. Conversation items Individual messages across voice, SMS, chat, and email attached to the conversation.
Users and Roles Principals used to grant the sync connection scoped access. Agents User records used to attribute work in CX analytics.
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.

Real-time

Two-way sync

Changes in Apache Doris or Gladly instantly reflect in both systems. No stale data, no manual imports.

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.

  1. 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Apache Doris connected
    Gladly connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 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.

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

Apache Doris and Gladly integration FAQ

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 Apache Doris and Gladly.

Popular · 8 of 386
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