Two-way sync
Changes in Jdbc or Vtiger CRM instantly reflect in both systems. No stale data, no manual imports.
Keep Jdbc and Vtiger CRM 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 Jdbc, where it can be queried and joined like everything else.
Stacksync mirrors Campaigns, Contacts, Organizations, Leads from Vtiger CRM into Views, Columns, Primary keys & indexes, Schemas & catalogs in Jdbc with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Vtiger CRM 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 Vtiger CRM API, limits, and retries.
Field and stage updates in Vtiger CRM arrive as row changes in Jdbc, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Vtiger CRM become tables in Jdbc 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.
| Jdbc objects | Vtiger CRM objects | How this pairing syncs | |
|---|---|---|---|
| Columns Per-table fields with data types, nullability, and defaults; enumerated via DatabaseMetaData.getColumns to auto-generate and type-check field mappings. | Invoices Billing documents pushed into accounting software. | Columns is specific to Jdbc and Invoices to Vtiger CRM — each maps to any object or custom field on the other side. | |
| Primary keys & indexes Key and index definitions read via DatabaseMetaData; the primary key is required for reliable upserts, and indexes on the cursor column keep incremental polling fast. | Campaigns Marketing campaign records tied to leads and contacts. | Primary keys & indexes is specific to Jdbc and Campaigns to Vtiger CRM — each maps to any object or custom field on the other side. | |
| Schemas & catalogs Namespaces that group tables and views; the connector targets a schema/catalog and lists its objects from the JDBC metadata to build the sync. | Contacts Person records linked to organizations; a core target for two-way contact syncs. | Schemas & catalogs is specific to Jdbc and Contacts to Vtiger CRM — each maps to any object or custom field on the other side. | |
| Stored procedures & functions Server-side routines callable via JDBC CallableStatement; invoked for custom read or write logic when a table-level mapping is not enough. | Organizations Company and account records. | Stored procedures & functions is specific to Jdbc and Organizations to Vtiger CRM — each maps to any object or custom field on the other side. | |
| Sequences Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system. | Leads Unqualified prospects that convert into contacts, organizations, and opportunities. | Sequences is specific to Jdbc and Leads to Vtiger CRM — each maps to any object or custom field on the other side. | |
| Tables The base relational tables in the target database; synced two-way as rows over SQL, with each table's primary key driving upserts and row-level updates. | Opportunities Deal records, historically the Potentials module, synced for pipeline reporting. | Tables is specific to Jdbc and Opportunities to Vtiger CRM — 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.
DetectionStacksync polls Jdbc for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.
DeliveryEach detected change is written to Vtiger CRM through its API, with automatic retries and rate-limit backoff.
DetectionVtiger CRM notifies Stacksync of record changes through webhook events. Polling on record modified timestamps.
DeliveryEach detected change is applied to Jdbc as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Jdbc–Vtiger CRM connection.
Changes in Jdbc or Vtiger CRM instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Jdbc or Vtiger CRM data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Jdbc or Vtiger CRM record.
Track your Jdbc ⇄ Vtiger CRM sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Jdbc and Vtiger CRM.
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 Jdbc and Vtiger CRM 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 Jdbc and Vtiger CRM 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 Jdbc and Vtiger CRM: authenticate both systems, choose the objects to sync (such as Jdbc's Columns and Primary keys & indexes), map fields visually, and changes propagate both ways in milliseconds — no code required.
Jdbc: JDBC API (java.sql / javax.sql) executing SQL through a JDBC driver, typically a pure-Java Type 4 driver; reaches any relational database with a driver - PostgreSQL, MySQL, SQL Server, Oracle, IBM DB2, and others - via a JDBC URL such as jdbc:postgresql://host:5432/db. Authentication: A database user's username and password supplied in the JDBC connection (DriverManager or a DataSource), typically over a TLS/SSL-encrypted connection. Some drivers add Kerberos, integrated Windows auth, or cloud IAM-token auth, but the available methods depend on the target database and its driver. Vtiger CRM: REST API. Authentication: HTTP Basic with username and access key. Stacksync manages authentication, retries, and rate limits on both sides.
Vtiger CRM: Every entity is a module sharing a uniform CRUD interface, and the API accepts a SQL-like query syntax for filtered reads. Jdbc: There is no API request quota; throughput is bounded by the database's max connections and connection-pool size and the CPU it shares with production queries, so heavy syncs can contend with live workloads. Stacksync's field mapping accounts for these differences between Jdbc and Vtiger CRM without custom code.
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 Jdbc and Vtiger CRM records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Jdbc and Vtiger CRM connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Jdbc–Vtiger CRM integration in-house.
Yes — Stacksync ships production-grade connectors for both Jdbc and Vtiger CRM. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 446 integrations available for Jdbc and Vtiger CRM.