Two-way sync
Changes in Lever or Rockset instantly reflect in both systems. No stale data, no manual imports.
Keep Lever and Rockset in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Lever is the system of record for employees and payroll, for candidates and applications, or for learners and course completions, the reporting belongs in Rockset next to everything else the company measures.
Stacksync syncs Users, Stages, Feedback, Interviews from Lever into tables in Rockset continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Rockset, such as headcount rollups, cost allocations, or attrition risk flags, can be written back to fields in Lever where the HR team acts on them. You configure which records and fields cross over, and in which direction, instead of maintaining pipeline code.
People and organization records from Lever arrive in Rockset as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.
Analysts combine Lever's workforce records with finance, product, or operational data already in Rockset for reporting the HR system cannot produce on its own.
Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.
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.
| Lever objects | Rockset objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Integrations Managed source connections (databases, streams, object storage) feeding collections. | Offers is specific to Lever and Integrations to Rockset — each maps to any object or custom field on the other side. | |
| Users Lever team members (recruiters, hiring managers) with configurable roles; can be created via POST /users, deactivated, and reactivated through the API. | Virtual Instances Isolated compute units that separate ingest from query workloads. | Users is specific to Lever and Virtual Instances to Rockset — each maps to any object or custom field on the other side. | |
| Stages Pipeline stage definitions that Opportunities move through; read to model funnel state and stage transitions in a database. | Collections Schemaless document containers that ingested and synced records land in. | Stages is specific to Lever and Collections to Rockset — each maps to any object or custom field on the other side. | |
| Feedback Interview feedback and scorecard forms attached to Opportunities; created via POST /opportunities/:id/feedback and consolidated into a warehouse for interviewer analytics. | Documents JSON records addressable by _id, written via the Write API in sync pipelines. | Feedback is specific to Lever and Documents to Rockset — each maps to any object or custom field on the other side. | |
| Interviews Scheduled interview panel events with times and interviewers; read for scheduling reporting and time-to-hire metrics, and creatable via the panels endpoint. | Workspaces Namespaces that group collections and query lambdas per team or environment. | Interviews is specific to Lever and Workspaces to Rockset — each maps to any object or custom field on the other side. | |
| Notes and Contacts Free-text Notes on Opportunities plus the underlying Contact (person) that dedupes multiple Opportunities; notes are posted via POST /opportunities/:id/notes and contact-level tags, sources, and links can be added back for attribution. | Query Lambdas Named, parameterized SQL queries invoked over REST to read synced data. | Notes and Contacts is specific to Lever and Query Lambdas to Rockset — 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.
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 Rockset as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Rockset for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL queries on timestamp fields.
DeliveryEach detected change is written to Lever through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Lever–Rockset connection.
Changes in Lever or Rockset instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Lever or Rockset data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Lever or Rockset record.
Track your Lever ⇄ Rockset sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Lever and Rockset.
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 Lever and Rockset 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 Lever and Rockset 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 Lever and Rockset: authenticate both systems, choose the objects to sync (such as Lever's Offers and Users), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Lever and Rockset: 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 Lever arrive in Rockset as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.
Lever: REST Data API (api.lever.co/v1). Authentication: API key over HTTP Basic auth (key as username, blank password) for internal integrations, or OAuth 2.0 with 1-hour access tokens for partner integrations (auth.lever.co). Rockset: REST API (SQL over HTTP, plus a document Write API). Authentication: API key. Stacksync manages authentication, retries, and rate limits on both sides.
Rockset: Query Lambdas expose versioned, parameterized SQL as REST endpoints, a common read surface for applications. Lever: Webhooks cover candidate and application lifecycle events but not every object, so entities such as Postings, Requisitions, and Offers still require polling. Stacksync's field mapping accounts for these differences between Lever and Rockset 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 Lever and Rockset records are not retained after a sync operation.
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 502 integrations available for Lever and Rockset.