Two-way sync
Changes in Vitally or VoltDB instantly reflect in both systems. No stale data, no manual imports.
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.
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.
Back-office apps read and write the synced tables; Stacksync handles the Vitally API, limits, and retries.
Field and stage updates in Vitally arrive as row changes in VoltDB, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Vitally become tables in VoltDB you can join with application data directly.
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. |
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.
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.
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.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Vitally–VoltDB connection.
Changes in Vitally or VoltDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Vitally or VoltDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Vitally or VoltDB record.
Track your Vitally ⇄ VoltDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Vitally and VoltDB.
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 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.
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.
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 Vitally and VoltDB: authenticate both systems, choose the objects to sync (such as Vitally's User and Organization), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Vitally side: Organization, Task, Note, Conversation, plus custom fields where Vitally exposes them. On the VoltDB side: Partitioned Tables, Replicated Tables, Stored Procedures, Materialized Views. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Vitally and VoltDB: Internal tools without API code; Trigger workflows from CRM changes; Query the CRM like a database. Back-office apps read and write the synced tables; Stacksync handles the Vitally API, limits, and retries.
Vitally: 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. VoltDB: SQL over JDBC plus native client libraries and an HTTP/JSON interface. Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
Vitally: Default rate limiting is 1,000 requests/min using a token bucket; write requests consume more budget. VoltDB: Data is held in memory, with durability provided by command logging and periodic snapshots. Stacksync's field mapping accounts for these differences between Vitally and VoltDB without custom code.
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 390 integrations available for Vitally and VoltDB.