Real-time sync
Changes in 6sense or Citus instantly reflect in both systems. No stale data, no manual imports.
Keep 6sense and Citus in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
6sense is a read-only source: Stacksync reads its data in real time and delivers it into Citus, so Citus always reflects the current state of 6sense — without exports, scripts, or schedulers.
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 Citus, where it can be queried and joined like everything else.
Accounts, contacts, and custom objects from 6sense become tables in Citus you can join with application data directly.
Signup, usage, or lifecycle changes written to Citus sync onto the matching records in 6sense, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the 6sense API, limits, and retries.
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.
| 6sense objects | Citus objects | How this pairing syncs | |
|---|---|---|---|
| Buying Stage Scores Model-predicted stage per account, synced onto CRM records for prioritization. | Views Curated projections over distributed data, often used as read-only sync sources. | Buying Stage Scores is specific to 6sense and Views to Citus — each maps to any object or custom field on the other side. | |
| Intent Signals Keyword-level research activity used to flag in-market accounts. | Sequences Key generators that matter when external writes must not collide with application inserts. | Intent Signals is specific to 6sense and Sequences to Citus — each maps to any object or custom field on the other side. | |
| People / Contacts Persona and contact data surfaced for accounts, used to build outreach lists. | Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | People / Contacts is specific to 6sense and Distributed tables to Citus — each maps to any object or custom field on the other side. | |
| Reach Scores Model scores reflecting the level and recency of outreach to an account or contact, used to prioritize follow-up. | Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Reach Scores is specific to 6sense and Reference tables to Citus — each maps to any object or custom field on the other side. | |
| Accounts Company records enriched with firmographics and intent data, matched to CRM accounts. | Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Accounts is specific to 6sense and Local tables to Citus — each maps to any object or custom field on the other side. | |
| Segments Dynamic account lists built from intent and fit criteria, read out to drive targeting. | Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Segments is specific to 6sense and Schemas to Citus — each maps to any object or custom field on the other side. |
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.
DetectionStacksync polls 6sense for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
DeliveryEach detected change is applied to Citus as a row-level write, with types converted between the two schemas.
DetectionChanges in Citus are captured at the source via change data capture — no polling loop against its API. PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres.
Delivery6sense does not accept inbound record writes, so this direction carries requests rather than records: 6sense's output flows back as field updates on the originating Citus records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every 6sense–Citus connection.
Changes in 6sense or Citus instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever 6sense or Citus data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single 6sense or Citus record.
Track your 6sense ⇄ Citus sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between 6sense and Citus.
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.
Authenticate 6sense and Citus with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the 6sense and Citus 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time integration between 6sense and Citus — 6sense is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
6sense: The platform is primarily a data provider in integrations; most syncs read scores and segments out rather than writing records in. Citus: Citus is a PostgreSQL extension, not a fork: clients connect with ordinary Postgres drivers and SQL, and the coordinator routes queries to shards. Stacksync's field mapping accounts for these differences between 6sense and Citus without custom code.
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 6sense and Citus records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed 6sense and Citus connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom 6sense–Citus integration in-house.
Yes — Stacksync ships production-grade connectors for both 6sense and Citus. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on 6sense: Polling; scores and segment membership are typically refreshed on the platform's model update cadence. On Citus: PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 358 integrations available for 6sense and Citus.