Two-way sync
Changes in ClickHouse or Sharepoint instantly reflect in both systems. No stale data, no manual imports.
Keep ClickHouse and Sharepoint in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
ClickHouse keeps the tables and query results a business reports on; Sharepoint keeps the raw files, documents, and objects that the same business produces and shares. The two overlap wherever a dataset lives as both — a file dropped in Sharepoint that has to become rows in ClickHouse, or a result in ClickHouse that people downstream need back as a file in Sharepoint. When that overlap is bridged by manual export and import or an overnight job, one side spends the day working from a stale copy.
Stacksync syncs Databases, Views, Materialized views, Distributed tables in ClickHouse with List items, Drive items (document libraries), Columns and content types, Permissions and sharing in Sharepoint field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set.
Where the same dataset lives as a file in Sharepoint and a table in ClickHouse, a change on either side propagates to the other, ending the drift between the file people read and the table people query.
The catalog of documents, owners, and folders in Sharepoint appears as Databases, Views, Materialized views, Distributed tables in ClickHouse, so file metadata can be joined against the rest of your data and reported on.
Classifications, scores, or status derived in ClickHouse are written back onto the matching List items, Drive items (document libraries), Columns and content types, Permissions and sharing in Sharepoint as metadata or tags, so the file store reflects what analytics decided.
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 | Sharepoint objects | How this pairing syncs | |
|---|---|---|---|
| Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. | Site pages Modern site pages via /sites/{id}/pages; read page content, layout, and metadata for indexing and content governance. | Tables (MergeTree family) is specific to ClickHouse and Site pages to Sharepoint — each maps to any object or custom field on the other side. | |
| Databases Namespaces that group tables and scope permissions for sync users. | Sites SharePoint site collections and subsites via /sites; read site properties and discover the document libraries (drives) and lists each site contains, addressed by hostname and site path or site ID. | Databases is specific to ClickHouse and Sites to Sharepoint — each maps to any object or custom field on the other side. | |
| Views Saved queries used as curated, read-only sync sources. | Lists Custom lists and libraries via /sites/{id}/lists; create and read lists along with their columns and content types so a target system can mirror or provision list definitions. | Views is specific to ClickHouse and Lists to Sharepoint — each maps to any object or custom field on the other side. | |
| Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. | List items Rows in a SharePoint list via /lists/{id}/items with a fields facet of column values; full create, read, update, and delete, synced two-way with database rows. | Materialized views is specific to ClickHouse and List items to Sharepoint — each maps to any object or custom field on the other side. | |
| Distributed tables Query-routing tables over cluster shards in self-managed deployments. | Drive items (document libraries) Files and folders in a library's drive via /drives and /drive/root; upload, download, move, delete, and read per-item metadata, synced two-way with a store. | Distributed tables is specific to ClickHouse and Drive items (document libraries) to Sharepoint — 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. | Columns and content types Field definitions and content types on a site or list; read the schema and create columns so database fields map cleanly onto SharePoint list fields. | Dictionaries is specific to ClickHouse and Columns and content types to Sharepoint — 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 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 Sharepoint through its API, with automatic retries and rate-limit backoff.
DetectionSharepoint notifies Stacksync of record changes through webhook events. Delta query (pull) tracks created, updated, and deleted list items (/lists/{id}/items/delta) and drive items (/drives/{id}/root/delta) since the last.
DeliveryEach detected change is applied to ClickHouse as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every ClickHouse–Sharepoint connection.
Changes in ClickHouse or Sharepoint instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever ClickHouse or Sharepoint data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single ClickHouse or Sharepoint record.
Track your ClickHouse ⇄ Sharepoint sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between ClickHouse and Sharepoint.
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 ClickHouse and Sharepoint 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 ClickHouse and Sharepoint 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.
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 531 integrations available for ClickHouse and Sharepoint.