Two-way sync
Changes in DEAR Inventory or Vertica instantly reflect in both systems. No stale data, no manual imports.
Keep DEAR Inventory and Vertica in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
ERP data is some of the most asked-for data in the warehouse and some of the hardest to get: the record types are many, the APIs are strict, and extract jobs are brittle. Whether DEAR Inventory carries financials, operations, workforce data, or all three, the analysis belongs in Vertica next to everything else the company measures.
Stacksync syncs Purchase orders, Customers, Suppliers, Stock adjustments and transfers from DEAR Inventory into tables in Vertica continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Vertica can be written back to fields in DEAR Inventory where that is useful.
Financial records land in Vertica as they change, so period-end reporting queries current numbers rather than last night's extract.
Worker and organization data syncs into Vertica for headcount, cost, and planning analysis alongside other company data.
Operational records become queryable tables in Vertica, joinable with sales and finance data.
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.
| DEAR Inventory objects | Vertica objects | |
|---|---|---|
| Assemblies / Production Bill-of-material and production records for light manufacturing workflows. | Schemas Namespaces used to organize synced datasets by domain or source. | |
| Locations Warehouses and bins that scope stock levels and fulfillment. | Tables Columnar tables; the primary read and write targets for syncs. | |
| Products SKU records with pricing, suppliers, and bill-of-material links; the master data most syncs start from. | Projections Sorted, encoded physical copies of table data that the optimizer selects at query time; they affect load and query behavior rather than being addressed directly. | |
| Stock levels Per-location availability derived from inventory transactions; read-heavy in storefront syncs. | Views Logical views used to shape reads for downstream consumers. | |
| Sale orders Customer orders through their pick/pack/ship lifecycle; synced with storefronts and CRMs. | Flex Tables Schema-flexible tables for semi-structured JSON data landed before modeling. | |
| Purchase orders Supplier orders and receiving records synced with accounting and planning tools. | External Tables Data queried in place on files or object storage without loading. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DEAR Inventory–Vertica connection.
Changes in DEAR Inventory or Vertica instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever DEAR Inventory or Vertica data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single DEAR Inventory or Vertica record.
Track your DEAR Inventory ⇄ Vertica sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between DEAR Inventory and Vertica.
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 DEAR Inventory and Vertica 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 DEAR Inventory and Vertica 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 DEAR Inventory and Vertica: authenticate both systems, choose the objects to sync (such as DEAR Inventory's Assemblies / Production and Locations), 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 DEAR Inventory and Vertica: Where DEAR Inventory holds the books: finance reporting from live data; Where DEAR Inventory is the HR system of record: workforce analytics; Where DEAR Inventory runs operations: order and supply analysis. Financial records land in Vertica as they change, so period-end reporting queries current numbers rather than last night's extract.
DEAR Inventory: REST API. Authentication: Account ID plus application key sent as request headers. Vertica: SQL over JDBC, ODBC, and ADO.NET drivers. Authentication: Database credentials, with LDAP, Kerberos, and OAuth options in enterprise deployments. Stacksync manages authentication, retries, and rate limits on both sides.
Vertica: Bulk loading through the COPY statement is the intended high-volume write path; frequent small inserts are comparatively expensive. DEAR Inventory: Inventory availability is derived per location from transactions (receipts, sales, adjustments, transfers), so synced stock figures reflect movement history rather than a single editable field. Stacksync's field mapping accounts for these differences between DEAR Inventory and Vertica 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 DEAR Inventory and Vertica 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 386 integrations available for DEAR Inventory and Vertica.