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Data warehouse ⇄ CRM

Rockset to Vitally integration — real-time, two-way sync

Keep Rockset and Vitally 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 Rockset and Vitally

Sync Vitally into Rockset 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. Organization, Task, Note, Conversation from Vitally land in Rockset as live tables, updated within seconds, and columns computed in Rockset write back to fields in Vitally. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • 01 Mirror product-usage traits and NPS responses into a warehouse for retention and expansion reporting.
  • 02 Push billing and subscription changes from an ERP or billing system into Vitally to keep success playbooks accurate.
  • 03 Serve real-time dashboards over CRM and ERP records synced from operational databases.
  • 04 Sync Postgres or DynamoDB tables into collections for low-latency aggregations without loading a batch warehouse.

Common sync patterns

Scores and segments back on the record

Lead scores, churn risk, or usage segments computed in Rockset appear as fields in Vitally, where the people working accounts actually see them.

A single customer view

Join Vitally's relationship data with billing, product, and support data in Rockset to build the customer picture the CRM alone cannot hold.

Cleanup that sticks

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

What you can sync between Rockset and Vitally

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.

Rockset objects Vitally objects How this pairing syncs
Virtual Instances Isolated compute units that separate ingest from query workloads. Account Core customer account records with health scores and lifecycle traits; created, updated, retrieved, and listed via the REST API. Virtual Instances is specific to Rockset and Account to Vitally — each maps to any object or custom field on the other side.
Collections Schemaless document containers that ingested and synced records land in. User End users tied to accounts, including activity and custom traits. Collections is specific to Rockset and User to Vitally — each maps to any object or custom field on the other side.
Documents JSON records addressable by _id, written via the Write API in sync pipelines. Organization Parent organizations for hierarchical B2B account structures. Documents is specific to Rockset and Organization to Vitally — each maps to any object or custom field on the other side.
Workspaces Namespaces that group collections and query lambdas per team or environment. Task CS tasks and follow-ups, readable and writable for workflow sync. Workspaces is specific to Rockset and Task to Vitally — each maps to any object or custom field on the other side.
Query Lambdas Named, parameterized SQL queries invoked over REST to read synced data. Note Account and user notes captured by success teams. Query Lambdas is specific to Rockset and Note to Vitally — each maps to any object or custom field on the other side.
Aliases Stable names that point at collections, used to swap datasets without changing queries. Conversation Customer conversations logged in Vitally; activity objects include parent object details in the payload. Aliases is specific to Rockset and Conversation to Vitally — each maps to any object or custom field on the other side.

How changes propagate between Rockset and Vitally

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.

Rockset Vitally Interval-based propagation

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 Vitally through its API, with automatic retries and rate-limit backoff.

Vitally Rockset Sub-second propagation

DetectionVitally notifies Stacksync of record changes through webhook events. Incremental polling on updatedAt cursors.

DeliveryEach detected change is applied to Rockset as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Vitally: Default rate limit of 1,000 requests/min (token bucket); write operations consume more budget, headers expose remaining quota.
What ships with Rockset ⇄ Vitally

Connect Rockset and Vitally for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Rockset or Vitally instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Rockset or Vitally 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 Rockset or Vitally record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Rockset and Vitally.

How the Rockset and Vitally connectors work

Rockset

Integration surface
REST API (SQL over HTTP, plus a document Write API)
Authentication
API key
Change detection
Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors
Capabilities
read · write

Vitally

Integration surface
REST API with cursor-based pagination (sortable by createdAt/updatedAt)
Authentication
API key via Basic Auth; keys created in Settings -> Integrations -> REST API and individually revocable
Change detection
Incremental polling on updatedAt cursors; playbook-triggered webhooks can push events for near real-time updates
Capabilities
read · write · webhooks
Rate limits
Default rate limit of 1,000 requests/min (token bucket); write operations consume more budget, headers expose remaining quota.
How it works

How to connect Rockset to Vitally — 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 Rockset and Vitally 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
    Rockset connected
    Vitally connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Rockset and Vitally 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 · Rockset ⇄ Vitally
    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
    Rockset Vitally
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Rockset and Vitally integration FAQ

SECURITY

Security teams trust 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 390 integrations available for Rockset and Vitally.

Popular · 8 of 390
All Rockset integrations All Vitally integrations Browse all integrations
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