Real-time
Two-way sync
Changes in ClickHouse or Freshsales instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ CRM
ClickHouse to Freshsales integration — real-time, two-way sync
Keep ClickHouse and Freshsales 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
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect ClickHouse and Freshsales
Sync Freshsales into ClickHouse continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.
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. Appointments, Notes, Sales activities, Products from Freshsales land in ClickHouse as live tables, updated within seconds, and columns computed in ClickHouse write back to fields in Freshsales. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Common use cases
- Two-way sync of contacts and accounts between Freshsales and a Postgres database so product and data teams query CRM data with SQL.
- Sync deals into a data warehouse for pipeline reporting alongside product usage data.
- Land product event data alongside synced CRM accounts so analysts join usage and revenue in one place.
- Sync aggregated ClickHouse query results back into operational tools, such as account-level usage metrics into a CRM.
A single customer view
Join Freshsales's relationship data with billing, product, and support data in ClickHouse to build the customer picture the CRM alone cannot hold.
Cleanup that sticks
Deduplication and normalization done in ClickHouse can be written back, so warehouse-side cleanup actually fixes the CRM.
CRM analytics on live data
Accounts, contacts, and activity from Freshsales are queryable in ClickHouse moments after they change, so dashboards stop lagging the reality they describe.
What you can sync between ClickHouse and Freshsales
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.
| ClickHouse objects | Freshsales objects | |
|---|---|---|
| Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. | Products Catalog items attached to deals for line-level revenue data. | |
| Distributed tables Query-routing tables over cluster shards in self-managed deployments. | Contacts Person records carrying lifecycle stages; the main entity for two-way CRM syncs. | |
| Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. | Accounts Company records kept aligned with billing, ERP, and warehouse tables. | |
| Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. | Deals Pipeline records synced to a warehouse for revenue reporting. | |
| Databases Namespaces that group tables and scope permissions for sync users. | Tasks Rep to-dos created from external triggers or synced for productivity reporting. | |
| Views Saved queries used as curated, read-only sync sources. | Appointments Scheduled meetings readable for activity analytics. |
What ships with ClickHouse ⇄ Freshsales
Connect ClickHouse and Freshsales for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every ClickHouse–Freshsales connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever ClickHouse or Freshsales 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 ClickHouse or Freshsales record.
Observability
Monitoring
Track your ClickHouse ⇄ Freshsales sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between ClickHouse and Freshsales.
How the ClickHouse and Freshsales connectors work
ClickHouse
- Integration surface
- Native TCP protocol and HTTP interface; standard SQL dialect, with MySQL and PostgreSQL wire compatibility available
- Authentication
- Database credentials (username/password); ClickHouse Cloud issues per-service credentials over TLS
- Change detection
- No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source
- Capabilities
- read · write
Freshsales
- Integration surface
- REST API
- Authentication
- API key sent as a Token authorization header
- Change detection
- Polling with updated-at filters through views; outbound webhooks can be configured via workflow automations
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to per-account API rate limits that vary by Freshworks plan
How it works
How to connect ClickHouse to Freshsales — 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 ClickHouse and Freshsales with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
ClickHouse
connected
Freshsales
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the ClickHouse and Freshsales 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 · ClickHouse ⇄ FreshsalesCustomers 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.
ClickHouse FreshsalesCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
ClickHouse and Freshsales integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between ClickHouse and Freshsales: authenticate both systems, choose the objects to sync (such as ClickHouse's Materialized views and Distributed tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
ClickHouse: Native TCP protocol and HTTP interface; standard SQL dialect, with MySQL and PostgreSQL wire compatibility available. Authentication: Database credentials (username/password); ClickHouse Cloud issues per-service credentials over TLS. Freshsales: REST API. Authentication: API key sent as a Token authorization header. Stacksync manages authentication, retries, and rate limits on both sides.
-
Freshsales: List access runs through views (saved filters): the API returns contacts or deals per view, which shapes how full extracts and incremental pulls are structured. ClickHouse: Storage is columnar and organized by the MergeTree engine family, which makes large batched inserts far more efficient than single-row writes. Stacksync's field mapping accounts for these differences between ClickHouse and Freshsales 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 ClickHouse and Freshsales records are not retained after a sync operation.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed ClickHouse and Freshsales connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom ClickHouse–Freshsales integration in-house.
-
Yes — Stacksync ships production-grade connectors for both ClickHouse and Freshsales. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
SECURITY
Security teams love 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 386 integrations available for ClickHouse and Freshsales.
Popular · 8 of 386
-
ClickHouse ⇄ SugarCRM -
ClickHouse ⇄ Twenty CRM -
ClickHouse ⇄ Veeva CRM -
ClickHouse ⇄ Vtiger CRM -
Freshsales ⇄ Actian Vector -
Freshsales ⇄ Amazon Redshift -
Freshsales ⇄ Apache Doris -
Freshsales ⇄ Apache Druid
No integrations match .
