Two-way sync
Changes in Azure Synapse Analytics or Freshworks CRM instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Synapse Analytics and Freshworks 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.
The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.
Stacksync does both with one connection. Tasks, Appointments, Sales activities, Lists from Freshworks CRM land in Azure Synapse Analytics as live tables, updated within seconds, and columns computed in Azure Synapse Analytics write back to fields in Freshworks CRM. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Deduplication and normalization done in Azure Synapse Analytics can be written back, so warehouse-side cleanup actually fixes the CRM.
Accounts, contacts, and activity from Freshworks CRM are queryable in Azure Synapse Analytics moments after they change, so dashboards stop lagging the reality they describe.
Lead scores, churn risk, or usage segments computed in Azure Synapse Analytics appear as fields in Freshworks CRM, where the people working accounts actually see them.
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.
| Azure Synapse Analytics objects | Freshworks CRM objects | |
|---|---|---|
| External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | Sales activities Logged activity types used in engagement and productivity analysis. | |
| Views Curated projections used when downstream tools should not read base tables directly. | Lists Contact list membership synced against segments computed in a warehouse. | |
| Schemas Namespaces that separate staging, integration, and presentation layers. | Notes Context records attached to contacts, accounts, and deals. | |
| Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | Contacts Unified sales-and-marketing person records; the core entity for bidirectional syncs. | |
| SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | Accounts Company records kept consistent with ERP and billing systems. | |
| Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. | Deals Pipeline records synced out for forecasting and full-funnel reporting. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Synapse Analytics–Freshworks CRM connection.
Changes in Azure Synapse Analytics or Freshworks CRM instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Synapse Analytics or Freshworks 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 Azure Synapse Analytics or Freshworks CRM record.
Track your Azure Synapse Analytics ⇄ Freshworks CRM sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Synapse Analytics and Freshworks 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 Azure Synapse Analytics and Freshworks 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 Azure Synapse Analytics and Freshworks 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 Azure Synapse Analytics and Freshworks CRM: authenticate both systems, choose the objects to sync (such as Azure Synapse Analytics's External tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Azure Synapse Analytics: Polling on watermark columns; Synapse SQL pools do not expose log-based CDC for downstream consumers. On Freshworks CRM: Polling with updated-at filters; outbound webhooks can be configured through workflow automations. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Freshworks CRM side: Tasks, Appointments, Sales activities, Lists, plus custom fields where Freshworks CRM exposes them. On the Azure Synapse Analytics side: External tables, Views, Schemas, 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 Azure Synapse Analytics and Freshworks CRM: Cleanup that sticks; CRM analytics on live data; Scores and segments back on the record. Deduplication and normalization done in Azure Synapse Analytics can be written back, so warehouse-side cleanup actually fixes the CRM.
Azure Synapse Analytics: SQL wire protocol (TDS) with T-SQL for SQL pools; additional Spark and pipeline surfaces exist but syncs use the SQL endpoint. Authentication: SQL authentication or Microsoft Entra ID. Freshworks CRM: REST API. Authentication: API key sent as a Token authorization header. Stacksync manages authentication, retries, and rate limits on both sides.
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 386 integrations available for Azure Synapse Analytics and Freshworks CRM.