Two-way sync
Changes in Apache Pinot or DEAR Inventory instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Pinot and DEAR Inventory 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 Apache Pinot next to everything else the company measures.
Stacksync syncs Stock adjustments and transfers, Assemblies / Production, Locations, Products from DEAR Inventory into tables in Apache Pinot continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Apache Pinot can be written back to fields in DEAR Inventory where that is useful.
Classifications or reference values computed in Apache Pinot sync back onto the corresponding records in DEAR Inventory.
Financial records land in Apache Pinot as they change, so period-end reporting queries current numbers rather than last night's extract.
Worker and organization data syncs into Apache Pinot for headcount, cost, and planning analysis alongside other company 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.
| Apache Pinot objects | DEAR Inventory objects | |
|---|---|---|
| Offline Tables Batch-loaded tables merged with real-time data at query time. | Assemblies / Production Bill-of-material and production records for light manufacturing workflows. | |
| Indexes Inverted, range, and star-tree indexes that determine which sync queries run at low latency. | Locations Warehouses and bins that scope stock levels and fulfillment. | |
| Tenants Logical groupings that isolate workloads on shared clusters. | Products SKU records with pricing, suppliers, and bill-of-material links; the master data most syncs start from. | |
| Tables The queryable unit, defined as offline, real-time, or hybrid; the main read target. | Stock levels Per-location availability derived from inventory transactions; read-heavy in storefront syncs. | |
| Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. | Sale orders Customer orders through their pick/pack/ship lifecycle; synced with storefronts and CRMs. | |
| Segments Immutable data files that batch ingestion uploads and the cluster serves. | Purchase orders Supplier orders and receiving records synced with accounting and planning tools. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Pinot–DEAR Inventory connection.
Changes in Apache Pinot or DEAR Inventory instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Pinot or DEAR Inventory data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apache Pinot or DEAR Inventory record.
Track your Apache Pinot ⇄ DEAR Inventory sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Pinot and DEAR Inventory.
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 Apache Pinot and DEAR Inventory 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 Apache Pinot and DEAR Inventory 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 Apache Pinot and DEAR Inventory: authenticate both systems, choose the objects to sync (such as Apache Pinot's Offline Tables and Indexes), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Apache Pinot side: Offline Tables, Indexes, Tenants, Tables, plus custom fields where Apache Pinot exposes them. On the DEAR Inventory side: Stock adjustments and transfers, Assemblies / Production, Locations, Products. 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 Apache Pinot and DEAR Inventory: Write-back where DEAR Inventory exposes writable fields; Where DEAR Inventory holds the books: finance reporting from live data; Where DEAR Inventory is the HR system of record: workforce analytics. Classifications or reference values computed in Apache Pinot sync back onto the corresponding records in DEAR Inventory.
Apache Pinot: REST API (SQL queries via the broker; administration via the controller); JDBC client available. Authentication: Deployment-dependent: HTTP basic authentication or token-based auth where enabled. DEAR Inventory: REST API. Authentication: Account ID plus application key sent as request headers. Stacksync manages authentication, retries, and rate limits on both sides.
Apache Pinot: Pinot separates offline and real-time tables and merges them at query time through the broker, so one logical table can span batch history and fresh stream data. DEAR Inventory: DEAR Systems was acquired by Cin7 and the product now operates as Cin7 Core; the API and data model carried over from DEAR. Stacksync's field mapping accounts for these differences between Apache Pinot and DEAR Inventory without custom code.
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.
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Every pair below is a real-time, two-way sync. Search all 386 integrations available for Apache Pinot and DEAR Inventory.