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Data warehouse ⇄ CRM

ClickHouse to Gladly integration — real-time, two-way sync

Keep ClickHouse 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 ClickHouse and Gladly

Sync Gladly into ClickHouse 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 ClickHouse as live tables, updated within seconds, and columns computed in ClickHouse 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

  • Sync Gladly customer profiles with an order database so agents see purchase history and profile updates flow back.
  • Mirror conversations and topics into a warehouse for CX analytics and staffing models.
  • Sync aggregated ClickHouse query results back into operational tools, such as account-level usage metrics into a CRM.
  • Consolidate logs and business records from multiple sources into MergeTree tables for retention and reporting.

Scores and segments back on the record

Lead scores, churn risk, or usage segments computed in ClickHouse 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 ClickHouse to build the customer picture the CRM alone cannot hold.

Cleanup that sticks

Deduplication and normalization done in ClickHouse can be written back, so warehouse-side cleanup actually fixes the CRM.

What you can sync between ClickHouse 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.

ClickHouse objects Gladly objects
Views Saved queries used as curated, read-only sync sources. Topics Categorization applied to conversations; the key dimension for contact-driver reporting.
Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. Tasks Follow-up work items created from external triggers or synced for workload reporting.
Distributed tables Query-routing tables over cluster shards in self-managed deployments. Customer profiles The central entity; merges identifiers like email, phone, and order IDs, which syncs use for matching.
Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. Conversations Each customer's continuous timeline; status and outcomes sync to CRMs and warehouses.
Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. Conversation items Individual messages across voice, SMS, chat, and email attached to the conversation.
Databases Namespaces that group tables and scope permissions for sync users. Agents User records used to attribute work in CX analytics.
What ships with ClickHouse ⇄ Gladly

Connect ClickHouse and Gladly for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every ClickHouse–Gladly connection.

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever ClickHouse 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 ClickHouse or Gladly record.

Observability

Monitoring

Track your ClickHouse ⇄ Gladly sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between ClickHouse and Gladly.

How the ClickHouse and Gladly connectors work

ClickHouse

Integration surface
Native TCP protocol and HTTP interface; standard SQL dialect, with MySQL and PostgreSQL wire compatibility available
Authentication
Database credentials (username/password); ClickHouse Cloud issues per-service credentials over TLS
Change detection
No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source
Capabilities
read · write

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 ClickHouse 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 ClickHouse 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
    ClickHouse connected
    Gladly connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the ClickHouse 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 · ClickHouse ⇄ 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
    ClickHouse Gladly
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

ClickHouse 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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for ClickHouse and Gladly.

Popular · 8 of 386
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