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Database ⇄ CRM

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

Keep SingleStore 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 SingleStore and Vitally

Treat Vitally like part of your database: its records live in SingleStore 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 SingleStore, where it can be queried and joined like everything else.

Stacksync mirrors NPS Response, Custom Trait, Account, User from Vitally into Stored Procedures, Indexes and Shard Keys, Databases, Tables (rowstore and columnstore) in SingleStore with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Vitally 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

  • 01 Keep CS tasks and notes aligned between Vitally and ticketing or project tools.
  • 02 Sync account health scores and lifecycle stages from Vitally into a CRM so sales sees churn risk before renewals.
  • 03 Keep reference data consistent between SingleStore and application databases.
  • 04 Feed synced operational data into applications that need low-latency responses over fresh data.

Common sync patterns

Query the CRM like a database

Accounts, contacts, and custom objects from Vitally become tables in SingleStore you can join with application data directly.

Product events onto CRM records

Signup, usage, or lifecycle changes written to SingleStore sync onto the matching records in Vitally, giving go-to-market teams live product context.

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the Vitally API, limits, and retries.

What you can sync between SingleStore 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.

SingleStore objects Vitally objects How this pairing syncs
Reference Tables Small tables replicated to every node, often used for dimension data in syncs. NPS Response NPS survey responses for account-health reporting. Reference Tables is specific to SingleStore and NPS Response to Vitally — each maps to any object or custom field on the other side.
Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. Custom Trait Custom account and user traits for segmentation. Pipelines is specific to SingleStore and Custom Trait to Vitally — each maps to any object or custom field on the other side.
Stored Procedures Existing logic sometimes invoked on write paths. Account Core customer account records with health scores and lifecycle traits; created, updated, retrieved, and listed via the REST API. Stored Procedures is specific to SingleStore and Account to Vitally — each maps to any object or custom field on the other side.
Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. User End users tied to accounts, including activity and custom traits. Indexes and Shard Keys is specific to SingleStore and User to Vitally — each maps to any object or custom field on the other side.
Databases The connection target containing the tables a sync addresses. Organization Parent organizations for hierarchical B2B account structures. Databases is specific to SingleStore and Organization to Vitally — each maps to any object or custom field on the other side.
Tables (rowstore and columnstore) Primary read/write target; storage type affects whether a table suits point lookups or scans. Task CS tasks and follow-ups, readable and writable for workflow sync. Tables (rowstore and columnstore) is specific to SingleStore and Task to Vitally — each maps to any object or custom field on the other side.

How changes propagate between SingleStore 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.

SingleStore Vitally Interval-based propagation

DetectionStacksync polls SingleStore for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or watermark columns.

DeliveryEach detected change is written to Vitally through its API, with automatic retries and rate-limit backoff.

Vitally SingleStore Sub-second propagation

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

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

Rate-limit considerations

  • SingleStore: No API rate limits; throughput is bounded by workspace or cluster size.
  • Vitally: Default rate limit of 1,000 requests/min (token bucket); write operations consume more budget, headers expose remaining quota.
What ships with SingleStore ⇄ Vitally

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever SingleStore 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 SingleStore or Vitally record.

Observability

Monitoring

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

Trading partners

EDI

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

How the SingleStore and Vitally connectors work

SingleStore

Integration surface
SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST
Authentication
Database credentials
Change detection
Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions
Capabilities
read · write
Rate limits
No API rate limits; throughput is bounded by workspace or cluster size

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 SingleStore 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 SingleStore 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
    SingleStore connected
    Vitally connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

SingleStore 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 SingleStore and Vitally.

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