Two-way sync
Changes in Attio or Rockset instantly reflect in both systems. No stale data, no manual imports.
Keep Attio and Rockset in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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. People, Companies, Users, Deals from Attio land in Rockset as live tables, updated within seconds, and columns computed in Rockset write back to fields in Attio. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Accounts, contacts, and activity from Attio are queryable in Rockset moments after they change, so dashboards stop lagging the reality they describe.
Lead scores, churn risk, or usage segments computed in Rockset appear as fields in Attio, where the people working accounts actually see them.
Join Attio's relationship data with billing, product, and support data in Rockset to build the customer picture the CRM alone cannot hold.
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.
| Attio objects | Rockset objects | How this pairing syncs | |
|---|---|---|---|
| Workspaces Synced with incremental and full sync per the Stacksync docs. | Workspaces Namespaces that group collections and query lambdas per team or environment. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| People Standard person object; synced with marketing tools and warehouse person tables. | Integrations Managed source connections (databases, streams, object storage) feeding collections. | People is specific to Attio and Integrations to Rockset — each maps to any object or custom field on the other side. | |
| Companies Standard company object; matched to billing and product accounts in two-way syncs. | Virtual Instances Isolated compute units that separate ingest from query workloads. | Companies is specific to Attio and Virtual Instances to Rockset — each maps to any object or custom field on the other side. | |
| Users Synced with incremental and full sync per the Stacksync docs. | Collections Schemaless document containers that ingested and synced records land in. | Users is specific to Attio and Collections to Rockset — each maps to any object or custom field on the other side. | |
| Deals Pipeline records; read out for revenue reporting and written to from automation. | Documents JSON records addressable by _id, written via the Write API in sync pipelines. | Deals is specific to Attio and Documents to Rockset — each maps to any object or custom field on the other side. | |
| Custom objects Workspace-defined objects that behave like standard ones in the API. | Query Lambdas Named, parameterized SQL queries invoked over REST to read synced data. | Custom objects is specific to Attio and Query Lambdas to Rockset — 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.
DetectionAttio notifies Stacksync of record changes through webhook events. Webhooks on record and list-entry events, with polling as a fallback.
DeliveryEach detected change is applied to Rockset as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Rockset for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL queries on timestamp fields.
DeliveryEach detected change is written to Attio through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Attio–Rockset connection.
Changes in Attio or Rockset instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Attio or Rockset data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Attio or Rockset record.
Track your Attio ⇄ Rockset sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Attio and Rockset.
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 Attio and Rockset 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 Attio and Rockset 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 two-way integration between Attio and Rockset: authenticate both systems, choose the objects to sync (such as Attio's Workspaces and People), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Attio and Rockset records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Attio and Rockset connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Attio–Rockset integration in-house.
Yes — Stacksync ships production-grade connectors for both Attio and Rockset. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Attio: Webhooks on record and list-entry events, with polling as a fallback. On Rockset: Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Attio side: People, Companies, Users, Deals, plus custom fields where Attio exposes them. On the Rockset side: Virtual Instances, Collections, Documents, Workspaces. Stacksync auto-detects both schemas and converts types between the two systems.
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 526 integrations available for Attio and Rockset.