Real-time
Two-way sync
Changes in Freshworks CRM or VoltDB instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
Freshworks CRM to VoltDB integration — real-time, two-way sync
Keep Freshworks CRM 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.
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Why teams connect Freshworks CRM and VoltDB
Treat Freshworks CRM 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 Deals, Tasks, Appointments, Sales activities from Freshworks CRM into Replicated Tables, Stored Procedures, Materialized Views, Streams in VoltDB with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Freshworks 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.
Common use cases
- 01 Sync unified contact records, covering sales and marketing attributes, into a warehouse for full-funnel reporting.
- 02 Push scored leads from a data platform into Freshworks CRM and route them by lifecycle stage.
- 03 Keep product, plan, or entitlement state consistent between VoltDB and back-office systems.
- 04 Push aggregates from VoltDB materialized views into dashboards or operational tools.
Common sync patterns
Trigger workflows from CRM changes
Field and stage updates in Freshworks CRM arrive as row changes in VoltDB, ready to drive jobs and notifications.
Query the CRM like a database
Accounts, contacts, and custom objects from Freshworks CRM become tables in VoltDB you can join with application data directly.
Product events onto CRM records
Signup, usage, or lifecycle changes written to VoltDB sync onto the matching records in Freshworks CRM, giving go-to-market teams live product context.
What you can sync between Freshworks CRM 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.
| Freshworks CRM objects | VoltDB objects | How this pairing syncs | |
|---|---|---|---|
| Tasks Follow-ups created from external signals such as product usage events. | Materialized Views Synchronously maintained aggregates over tables, useful as pre-computed read sources. | Tasks is specific to Freshworks CRM and Materialized Views to VoltDB — each maps to any object or custom field on the other side. | |
| Appointments Meeting records readable for activity reporting. | Streams Insert-only constructs that feed the export subsystem with committed rows. | Appointments is specific to Freshworks CRM and Streams to VoltDB — each maps to any object or custom field on the other side. | |
| Sales activities Logged activity types used in engagement and productivity analysis. | Export Targets and Topics Connectors that push committed data to external systems such as Kafka or JDBC sinks. | Sales activities is specific to Freshworks CRM and Export Targets and Topics to VoltDB — each maps to any object or custom field on the other side. | |
| Lists Contact list membership synced against segments computed in a warehouse. | Partitioned Tables Tables sharded across partitions by a partitioning column; the primary transactional store and sync target. | Lists is specific to Freshworks CRM and Partitioned Tables to VoltDB — each maps to any object or custom field on the other side. | |
| Notes Context records attached to contacts, accounts, and deals. | Replicated Tables Small reference tables copied to every partition, a common landing spot for synced lookup data. | Notes is specific to Freshworks CRM and Replicated Tables to VoltDB — each maps to any object or custom field on the other side. | |
| Contacts Unified sales-and-marketing person records; the core entity for bidirectional syncs. | Stored Procedures Precompiled transactional units that serve as the primary write interface. | Contacts is specific to Freshworks CRM and Stored Procedures to VoltDB — each maps to any object or custom field on the other side. |
How changes propagate between Freshworks CRM 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.
Freshworks CRM VoltDB Sub-second propagation
DetectionFreshworks CRM notifies Stacksync of record changes through webhook events. Polling with updated-at filters.
DeliveryEach detected change is applied to VoltDB as a row-level write, with types converted between the two schemas.
VoltDB Freshworks CRM 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 Freshworks CRM through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Freshworks CRM: Subject to per-account API rate limits that vary by plan.
- VoltDB: No API rate limits; throughput is bounded by partition count and cluster sizing.
What ships with Freshworks CRM ⇄ VoltDB
Connect Freshworks CRM and VoltDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Freshworks CRM–VoltDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Freshworks CRM 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 Freshworks CRM or VoltDB record.
Observability
Monitoring
Track your Freshworks CRM ⇄ VoltDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Freshworks CRM and VoltDB.
How the Freshworks CRM and VoltDB connectors work
Freshworks CRM
- Integration surface
- REST API
- Authentication
- API key sent as a Token authorization header
- Change detection
- Polling with updated-at filters; outbound webhooks can be configured through workflow automations
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to per-account API rate limits that vary by plan
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 Freshworks CRM 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.
- 01
Connect your apps
Authenticate Freshworks CRM 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.
Freshworks CRM
connected
VoltDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Freshworks CRM 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.
objects · Freshworks CRM ⇄ VoltDBCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Freshworks CRM VoltDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Freshworks CRM and VoltDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Freshworks CRM and VoltDB: authenticate both systems, choose the objects to sync (such as Freshworks CRM's Tasks and Appointments), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Freshworks CRM: Freshworks CRM was rebranded as Freshsales Suite; it shares the Freshsales API surface, with marketing features layered onto the same contact model. VoltDB: The built-in export subsystem streams committed rows to external targets such as Kafka, which is the product's native change-propagation path. Stacksync's field mapping accounts for these differences between Freshworks CRM and VoltDB without custom code.
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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 Freshworks CRM and VoltDB records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Freshworks CRM and VoltDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Freshworks CRM–VoltDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Freshworks CRM and VoltDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Freshworks CRM: Polling with updated-at filters; outbound webhooks can be configured through workflow automations. On VoltDB: Export streams and topics push committed changes to configured targets; otherwise polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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:
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