Two-way sync
Changes in Azure Cosmos DB or Lever instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Cosmos DB and Lever in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Lever is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. Azure Cosmos DB is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Offers, Users, Stages, Feedback in Lever need to exist as queryable Partition keys, Change feed entries, Stored procedures and triggers, Databases in Azure Cosmos DB before an app can act on them. When that bridge is a nightly export or a hand-run CSV, every downstream system spends the day working from a roster that has already moved on.
Stacksync syncs Partition keys, Change feed entries, Stored procedures and triggers, Databases in Azure Cosmos DB with Offers, Users, Stages, Feedback in Lever field by field, in real time. You decide which system owns which fields — Lever typically owns identity and org attributes, while operational or computed values can flow back the other way — and Stacksync keeps every copy consistent, matching records on a stable key and resolving conflicts by rules you set.
The result is one live picture of the workforce on both sides: HR keeps its source of truth, and the database keeps a current mirror that internal apps, reports, and access controls can trust without a batch window in between.
Values assembled or corrected in Azure Cosmos DB write onto the matching record in Lever where those fields are writable, keeping the people system enriched.
Records maintained in Lever land as queryable Partition keys, Change feed entries, Stored procedures and triggers, Databases in Azure Cosmos DB, so internal apps and dashboards read live data instead of a periodic export.
When a person record is added, changed, or deactivated in either system, the matching row in the other stays current, ending dual maintenance.
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 Cosmos DB objects | Lever objects | How this pairing syncs | |
|---|---|---|---|
| Stored procedures and triggers Server-side logic scoped to a partition; relevant when writes must respect existing validation. | Requisitions Headcount/requisition records with custom requisition fields, tied to Postings; read via GET /requisitions and synced to an HRIS to reconcile approved headcount against open roles. | Stored procedures and triggers is specific to Azure Cosmos DB and Requisitions to Lever — each maps to any object or custom field on the other side. | |
| Databases Top-level namespaces that scope containers and throughput provisioning. | Offers Offer records attached to an Opportunity with status and offer-form fields; exposed read-only through GET /opportunities/:id/offers, so they sync outbound to an HRIS or onboarding system when a candidate reaches the offer stage. | Databases is specific to Azure Cosmos DB and Offers to Lever — each maps to any object or custom field on the other side. | |
| Containers The unit of partitioning and throughput; each container maps to a synced collection. | Users Lever team members (recruiters, hiring managers) with configurable roles; can be created via POST /users, deactivated, and reactivated through the API. | Containers is specific to Azure Cosmos DB and Users to Lever — each maps to any object or custom field on the other side. | |
| Items (JSON documents) Schema-flexible JSON records read and written during sync; nested structures are flattened or mapped as needed. | Stages Pipeline stage definitions that Opportunities move through; read to model funnel state and stage transitions in a database. | Items (JSON documents) is specific to Azure Cosmos DB and Stages to Lever — each maps to any object or custom field on the other side. | |
| Partition keys Determine data distribution and must be included on writes for the sync to route items correctly. | Feedback Interview feedback and scorecard forms attached to Opportunities; created via POST /opportunities/:id/feedback and consolidated into a warehouse for interviewer analytics. | Partition keys is specific to Azure Cosmos DB and Feedback to Lever — each maps to any object or custom field on the other side. | |
| Change feed entries Ordered record of inserts and updates per partition, consumed for incremental sync. | Interviews Scheduled interview panel events with times and interviewers; read for scheduling reporting and time-to-hire metrics, and creatable via the panels endpoint. | Change feed entries is specific to Azure Cosmos DB and Interviews to Lever — 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.
DetectionChanges in Azure Cosmos DB are captured at the source via change data capture — no polling loop against its API. Built-in change feed exposing inserts and updates in order within each partition key range.
DeliveryEach detected change is written to Lever through its API, with automatic retries and rate-limit backoff.
DetectionLever notifies Stacksync of record changes through webhook events. Webhooks for candidate and application lifecycle events (applicationCreated, candidateStageChange, candidateArchiveStateChange, candidateHired,.
DeliveryEach detected change is applied to Azure Cosmos DB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Cosmos DB–Lever connection.
Changes in Azure Cosmos DB or Lever instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Cosmos DB or Lever 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 Cosmos DB or Lever record.
Track your Azure Cosmos DB ⇄ Lever sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Cosmos DB and Lever.
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 Cosmos DB and Lever 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 Cosmos DB and Lever 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 Cosmos DB and Lever: authenticate both systems, choose the objects to sync (such as Azure Cosmos DB's Stored procedures and triggers and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Azure Cosmos DB and Lever. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Azure Cosmos DB: Built-in change feed exposing inserts and updates in order within each partition key range. On Lever: Webhooks for candidate and application lifecycle events (applicationCreated, candidateStageChange, candidateArchiveStateChange, candidateHired, interview created/updated/deleted), plus incremental polling via created_at and updated_at range filters on Opportunities. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Azure Cosmos DB side: Partition keys, Change feed entries, Stored procedures and triggers, Databases, plus custom fields where Azure Cosmos DB exposes them. On the Lever side: Offers, Users, Stages, Feedback. 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 Cosmos DB and Lever: Computed and operational fields flow back; Mirror people records into the database; One directory of record. Values assembled or corrected in Azure Cosmos DB write onto the matching record in Lever where those fields are writable, keeping the people system enriched.
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 438 integrations available for Azure Cosmos DB and Lever.