Real-time
Two-way sync
Changes in ClickHouse or Namely instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Human resources
ClickHouse to Namely integration — real-time, two-way sync
Keep ClickHouse and Namely 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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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect ClickHouse and Namely
Land the people and organization records from Namely in ClickHouse as live tables for workforce reporting, without extract jobs, and write computed results back where Namely can use them.
Workforce data is some of the most requested data in the warehouse and some of the most awkward to move: the record types are many, the fields carry sensitive personal information, the APIs are strict, and hand-built extract jobs go stale or break quietly. Whether Namely is the system of record for employees and payroll, for candidates and applications, or for learners and course completions, the reporting belongs in ClickHouse next to everything else the company measures.
Stacksync syncs Profiles, Job Titles, Job Tiers, Groups from Namely into tables in ClickHouse continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in ClickHouse, such as headcount rollups, cost allocations, or attrition risk flags, can be written back to fields in Namely where the HR team acts on them. You configure which records and fields cross over, and in which direction, instead of maintaining pipeline code.
Common use cases
- 01 Sync aggregated ClickHouse query results back into operational tools, such as account-level usage metrics into a CRM.
- 02 Consolidate logs and business records from multiple sources into MergeTree tables for retention and reporting.
- 03 Provision or deprovision accounts in an IdP or directory when a Profile's user_status or start_date changes, and write the resulting user ID and email back onto the Profile.
- 04 Map Job Titles and Job Tiers into a warehouse dimension table so leveling and seniority stay consistent across HR, finance, and BI reporting.
Common sync patterns
HR data in the warehouse, minus the pipeline
People and organization records from Namely arrive in ClickHouse as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.
Headcount and cost joined with everything else
Analysts combine Namely's workforce records with finance, product, or operational data already in ClickHouse for reporting the HR system cannot produce on its own.
Fresh data instead of last night's load
Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.
What you can sync between ClickHouse and Namely
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 | Namely objects | How this pairing syncs | |
|---|---|---|---|
| Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. | Reports Saved Namely reports returned as JSON snapshots that update instantly; read-only feeds for headcount and roster analytics. | Tables (MergeTree family) is specific to ClickHouse and Reports to Namely — each maps to any object or custom field on the other side. | |
| Databases Namespaces that group tables and scope permissions for sync users. | Profile Fields Metadata describing standard and company-defined custom field sections; read to discover schema and generate mappings. | Databases is specific to ClickHouse and Profile Fields to Namely — each maps to any object or custom field on the other side. | |
| Views Saved queries used as curated, read-only sync sources. | Events Home-feed items such as announcements, birthdays, anniversaries, and new arrivals; typically read-only into comms tools. | Views is specific to ClickHouse and Events to Namely — each maps to any object or custom field on the other side. | |
| Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. | Profiles The core employee record (personal, job, contact, and compensation fields); synced two-way via GET/POST/PUT with updated_at driving incremental polling. | Materialized views is specific to ClickHouse and Profiles to Namely — each maps to any object or custom field on the other side. | |
| Distributed tables Query-routing tables over cluster shards in self-managed deployments. | Job Titles Job title definitions; read and written so titles stay aligned with an HRIS, directory, or reporting dimension. | Distributed tables is specific to ClickHouse and Job Titles to Namely — each maps to any object or custom field on the other side. | |
| Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. | Job Tiers Leveling hierarchy grouping zero-to-many Job Titles; read to map seniority into warehouse dimension tables. | Dictionaries is specific to ClickHouse and Job Tiers to Namely — each maps to any object or custom field on the other side. |
How changes propagate between ClickHouse and Namely
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.
ClickHouse Namely Interval-based propagation
DetectionStacksync polls ClickHouse for changes on an incremental schedule, reading only records changed since the previous pass. No log-based CDC for consumers.
DeliveryEach detected change is written to Namely through its API, with automatic retries and rate-limit backoff.
Namely ClickHouse Interval-based propagation
DetectionStacksync polls Namely for changes on an incremental schedule, reading only records changed since the previous pass. No webhooks.
DeliveryEach detected change is applied to ClickHouse as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Namely: Namely's public docs do not publish a fixed request quota; the REST API returns standard HTTP status codes, so integrations should throttle and back off on 429/5xx responses.
What ships with ClickHouse ⇄ Namely
Connect ClickHouse and Namely for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every ClickHouse–Namely connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever ClickHouse or Namely 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 Namely record.
Observability
Monitoring
Track your ClickHouse ⇄ Namely 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 Namely.
How the ClickHouse and Namely 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
Namely
- Integration surface
- REST API (JSON over HTTPS)
- Authentication
- OAuth 2.0 authorization-code grant, or a personal access token sent as a Bearer token; all calls run over HTTPS against https://{subdomain}.namely.com/api/v1
- Change detection
- No webhooks; integrations poll GET endpoints and compare the updated_at / created_at timestamps on Profiles and related objects to detect changes
- Capabilities
- read · write
- Rate limits
- Namely's public docs do not publish a fixed request quota; the REST API returns standard HTTP status codes, so integrations should throttle and back off on 429/5xx responses.
How it works
How to connect ClickHouse to Namely — 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 Namely 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
Namely
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the ClickHouse and Namely 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 ⇄ NamelyCustomers 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 NamelyCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
ClickHouse and Namely integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between ClickHouse and Namely: authenticate both systems, choose the objects to sync (such as ClickHouse's Tables (MergeTree family) and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for ClickHouse and Namely: HR data in the warehouse, minus the pipeline; Headcount and cost joined with everything else; Fresh data instead of last night's load. People and organization records from Namely arrive in ClickHouse as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.
-
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. Namely: REST API (JSON over HTTPS). Authentication: OAuth 2.0 authorization-code grant, or a personal access token sent as a Bearer token; all calls run over HTTPS against https://{subdomain}.namely.com/api/v1. Stacksync manages authentication, retries, and rate limits on both sides.
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ClickHouse: Storage is columnar and organized by the MergeTree engine family, which makes large batched inserts far more efficient than single-row writes. Namely: Reports return as instantly-updating JSON snapshots; the feed and report surfaces are read-oriented while Profiles, Job Titles, and Groups are read-write. Stacksync's field mapping accounts for these differences between ClickHouse and Namely 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 ClickHouse and Namely 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 ClickHouse and Namely connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom ClickHouse–Namely integration in-house.
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
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
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