Real-time
Two-way sync
Changes in Citus or Klaviyo instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Business productivity
Citus to Klaviyo integration — real-time, two-way sync
Keep Citus and Klaviyo 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 Citus and Klaviyo
Mirror Klaviyo's data into Citus so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Engineers integrate with tools like Klaviyo through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Citus.
Stacksync mirrors Templates, Catalog Items, Tags, Profiles from Klaviyo into Sequences, Distributed tables, Reference tables, Local tables in Citus and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Klaviyo, so the tool and the database never disagree.
Common use cases
- Keep suppression and consent status consistent between Klaviyo and other email or SMS tools
- Sync catalog items from an ERP or PIM so product recommendations and back-in-stock flows use current data
- Use a Citus cluster as the scalable operational store behind a customer-facing app while syncing summaries back to internal tools.
- Consolidate per-tenant rows from distributed tables into per-customer reporting databases.
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Read Klaviyo with a query
Records from Klaviyo are ordinary rows in Citus; join them, index them, and use them in application logic without touching the vendor API.
Automate Klaviyo from your codebase
Write to the synced tables in Citus and Stacksync propagates the change into Klaviyo, replacing custom integration code.
What you can sync between Citus and Klaviyo
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.
| Citus objects | Klaviyo objects | |
|---|---|---|
| Sequences Key generators that matter when external writes must not collide with application inserts. | Campaigns Email and SMS sends expose performance data for warehouse-based reporting. | |
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Flows Automation definitions and their engagement data sync outward for attribution. | |
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Templates Message templates are accessible via API for content management workflows. | |
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Catalog Items Product catalog records synced from an ERP or PIM power product blocks and back-in-stock triggers. | |
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Tags Organizational labels on campaigns, flows, and lists support reporting rollups. | |
| Views Curated projections over distributed data, often used as read-only sync sources. | Profiles Person records with arbitrary custom properties are the target for CRM and warehouse-sourced attributes. |
What ships with Citus ⇄ Klaviyo
Connect Citus and Klaviyo for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–Klaviyo connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Citus or Klaviyo 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 Citus or Klaviyo record.
Observability
Monitoring
Track your Citus ⇄ Klaviyo sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Citus and Klaviyo.
How the Citus and Klaviyo connectors work
Citus
- Integration surface
- PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node
- Authentication
- Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options)
- Change detection
- PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres
- Capabilities
- read · write · CDC
Klaviyo
- Integration surface
- REST API compliant with the JSON:API specification
- Authentication
- OAuth 2.0 for apps or private API keys
- Change detection
- Polling on updated timestamps; outbound webhooks exist for event topics (availability depends on plan or app-partner status) and as flow webhook actions
- Capabilities
- read · write · webhooks
- Rate limits
- Per-endpoint burst and steady rate limits apply
How it works
How to connect Citus to Klaviyo — 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 Citus and Klaviyo with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Citus
connected
Klaviyo
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Citus and Klaviyo 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 · Citus ⇄ KlaviyoCustomers 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.
Citus KlaviyoCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Citus and Klaviyo integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Citus and Klaviyo: authenticate both systems, choose the objects to sync (such as Citus's Sequences and Distributed tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Klaviyo: Profiles accept arbitrary custom properties, and events are append-only records tied to named metrics, which together form the segmentation model external data is synced into. Citus: Because shard data lives on worker nodes, log-based CDC is more involved than on single-node Postgres and depends on the Citus version and hosting (including the Azure managed service). Stacksync's field mapping accounts for these differences between Citus and Klaviyo 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 Citus and Klaviyo 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 Citus and Klaviyo connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Citus–Klaviyo integration in-house.
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Yes — Stacksync ships production-grade connectors for both Citus and Klaviyo. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Citus: PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres. On Klaviyo: Polling on updated timestamps; outbound webhooks exist for event topics (availability depends on plan or app-partner status) and as flow webhook actions. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 Citus and Klaviyo.
Popular · 8 of 386
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Citus ⇄ Microsoft 365 -
Citus ⇄ Microsoft Dynamics 365 -
Citus ⇄ Microsoft Teams -
Citus ⇄ NextGen Healthcare -
Klaviyo ⇄ VoltDB -
Klaviyo ⇄ YugabyteDB -
Klaviyo ⇄ PostgreSQL -
Klaviyo ⇄ Amazon RDS
No integrations match .
