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CRM ⇄ Database

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

Keep Vitally and VoltDB 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 Vitally and VoltDB

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

Stacksync mirrors Organization, Task, Note, Conversation from Vitally into Partitioned Tables, Replicated Tables, Stored Procedures, Materialized Views in VoltDB 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 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 Sync customer or account reference data from a CRM into VoltDB replicated tables for in-transaction lookups such as fraud or policy checks.
  • 04 Stream committed VoltDB results out through export targets into a warehouse for historical analysis.

Common sync patterns

Internal tools without API code

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

Trigger workflows from CRM changes

Field and stage updates in Vitally arrive as row changes in VoltDB, ready to drive jobs and notifications.

Query the CRM like a database

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

What you can sync between Vitally and VoltDB

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.

Vitally objects VoltDB objects How this pairing syncs
User End users tied to accounts, including activity and custom traits. Streams Insert-only constructs that feed the export subsystem with committed rows. User is specific to Vitally and Streams to VoltDB — each maps to any object or custom field on the other side.
Organization Parent organizations for hierarchical B2B account structures. Export Targets and Topics Connectors that push committed data to external systems such as Kafka or JDBC sinks. Organization is specific to Vitally and Export Targets and Topics to VoltDB — each maps to any object or custom field on the other side.
Task CS tasks and follow-ups, readable and writable for workflow sync. Partitioned Tables Tables sharded across partitions by a partitioning column; the primary transactional store and sync target. Task is specific to Vitally and Partitioned Tables to VoltDB — each maps to any object or custom field on the other side.
Note Account and user notes captured by success teams. Replicated Tables Small reference tables copied to every partition, a common landing spot for synced lookup data. Note is specific to Vitally and Replicated Tables to VoltDB — each maps to any object or custom field on the other side.
Conversation Customer conversations logged in Vitally; activity objects include parent object details in the payload. Stored Procedures Precompiled transactional units that serve as the primary write interface. Conversation is specific to Vitally and Stored Procedures to VoltDB — each maps to any object or custom field on the other side.
NPS Response NPS survey responses for account-health reporting. Materialized Views Synchronously maintained aggregates over tables, useful as pre-computed read sources. NPS Response is specific to Vitally and Materialized Views to VoltDB — each maps to any object or custom field on the other side.

How changes propagate between Vitally and VoltDB

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.

Vitally VoltDB Sub-second propagation

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

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

VoltDB Vitally Interval-based propagation

DetectionStacksync polls VoltDB for changes on an incremental schedule, reading only records changed since the previous pass. Export streams and topics push committed changes to configured targets.

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

Rate-limit considerations

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

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

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

Observability

Monitoring

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

Trading partners

EDI

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

How the Vitally and VoltDB connectors work

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.

VoltDB

Integration surface
SQL over JDBC plus native client libraries and an HTTP/JSON interface
Authentication
Database credentials
Change detection
Export streams and topics push committed changes to configured targets; otherwise polling
Capabilities
read · write
Rate limits
No API rate limits; throughput is bounded by partition count and cluster sizing.
How it works

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

    Choose tables

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

Vitally and VoltDB 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.

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 390 integrations available for Vitally and VoltDB.

Popular · 8 of 390
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