Real-time
Two-way sync
Changes in Gladly or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
Gladly to TimescaleDB integration — real-time, two-way sync
Keep Gladly and TimescaleDB 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
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Gladly and TimescaleDB
Treat Gladly like part of your database: its records live in TimescaleDB 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 TimescaleDB, where it can be queried and joined like everything else.
Stacksync mirrors Topics, Tasks, Customer profiles, Conversations from Gladly into Regular PostgreSQL Tables, Views, Schemas, Hypertables in TimescaleDB 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
- Keep customer attributes such as loyalty tier and lifetime value synced from a warehouse into Gladly profiles for routing and prioritization.
- Push conversation outcomes into a CRM so account teams see support context on their accounts.
- Consolidate metrics from several services into one hypertable to serve a single reporting layer.
- Sync product or IoT telemetry stored in TimescaleDB into a CRM so account teams see usage metrics next to the customer record.
Internal tools without API code
Back-office apps read and write the synced tables; Stacksync handles the Gladly API, limits, and retries.
Trigger workflows from CRM changes
Field and stage updates in Gladly arrive as row changes in TimescaleDB, ready to drive jobs and notifications.
Query the CRM like a database
Accounts, contacts, and custom objects from Gladly become tables in TimescaleDB you can join with application data directly.
What you can sync between Gladly and TimescaleDB
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 | TimescaleDB objects | |
|---|---|---|
| Tasks Follow-up work items created from external triggers or synced for workload reporting. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | |
| Customer profiles The central entity; merges identifiers like email, phone, and order IDs, which syncs use for matching. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | |
| Conversations Each customer's continuous timeline; status and outcomes sync to CRMs and warehouses. | Views Standard SQL views used to shape or filter data for consumers. | |
| Conversation items Individual messages across voice, SMS, chat, and email attached to the conversation. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | |
| Agents User records used to attribute work in CX analytics. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | |
| Topics Categorization applied to conversations; the key dimension for contact-driver reporting. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. |
What ships with Gladly ⇄ TimescaleDB
Connect Gladly and TimescaleDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gladly–TimescaleDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Gladly or TimescaleDB 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 Gladly or TimescaleDB record.
Observability
Monitoring
Track your Gladly ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Gladly and TimescaleDB.
How the Gladly and TimescaleDB connectors work
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
TimescaleDB
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials
- Change detection
- Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by database resources and connection limits.
How it works
How to connect Gladly to TimescaleDB — 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 Gladly and TimescaleDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Gladly
connected
TimescaleDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Gladly and TimescaleDB 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 · Gladly ⇄ TimescaleDBCustomers 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.
Gladly TimescaleDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Gladly and TimescaleDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Gladly and TimescaleDB: authenticate both systems, choose the objects to sync (such as Gladly's Tasks and Customer profiles), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Gladly: REST API. Authentication: API tokens used with basic authentication tied to an agent email. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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Gladly: Customer profiles are built to merge external identifiers (email, phone, order numbers), which is what integrations key on when matching records from other systems. TimescaleDB: Continuous aggregates materialize rollups incrementally instead of recomputing them on every query. Stacksync's field mapping accounts for these differences between Gladly and TimescaleDB without custom code.
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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 TimescaleDB records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Gladly and TimescaleDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Gladly–TimescaleDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Gladly and TimescaleDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Gladly and TimescaleDB.
Popular · 8 of 386
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Gladly ⇄ Oracle DB -
Gladly ⇄ RavenDB -
Gladly ⇄ Redis Enterprise -
Gladly ⇄ SAP ASE (Sybase) -
TimescaleDB ⇄ Nutshell -
TimescaleDB ⇄ Oracle CX Sales -
TimescaleDB ⇄ Outreach -
TimescaleDB ⇄ Salesloft
No integrations match .
