Real-time
Two-way sync
Changes in Apache Pinot or Deposco instantly reflect in both systems. No stale data, no manual imports.
.png){kind=small}
Data warehouse ⇄ ERP
Apache Pinot to Deposco integration — real-time, two-way sync
Keep Apache Pinot and Deposco in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Apache Pinot and Deposco
Put Deposco's records in Apache Pinot as live tables for reporting and analysis, without extract jobs, and write results back where Deposco can use them.
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 Deposco carries financials, operations, workforce data, or all three, the analysis belongs in Apache Pinot next to everything else the company measures.
Stacksync syncs Customers, Items / SKUs, Inventory, Sales orders from Deposco 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 Deposco where that is useful.
Common use cases
- Query per-account usage metrics from Pinot and sync them into CRM fields so sales sees product activity.
- Push reference and dimension data into Pinot via batch segment loads to enrich event queries.
- Sync available-to-promise inventory to storefronts and marketplaces to prevent overselling.
- Land fulfillment and shipment data in a warehouse for SLA, carrier, and throughput reporting.
Where Deposco runs operations: order and supply analysis
Operational records become queryable tables in Apache Pinot, joinable with sales and finance data.
Group reporting across systems
Combine Deposco's records with data synced from other systems in Apache Pinot for consolidated views no single system can produce.
Write-back where Deposco exposes writable fields
Classifications or reference values computed in Apache Pinot sync back onto the corresponding records in Deposco.
What you can sync between Apache Pinot and Deposco
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 | Deposco objects | |
|---|---|---|
| Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. | Shipments Outbound shipment and tracking records synced back to order-origin systems. | |
| Offline Tables Batch-loaded tables merged with real-time data at query time. | Purchase orders / ASNs Inbound expectations used to plan receiving. | |
| Indexes Inverted, range, and star-tree indexes that determine which sync queries run at low latency. | Receipts Confirmation of received inventory that updates stock positions. | |
| Tenants Logical groupings that isolate workloads on shared clusters. | Warehouses / Locations Facility and bin structures that scope inventory records. | |
| Tables The queryable unit, defined as offline, real-time, or hybrid; the main read target. | Customers Ship-to parties referenced on orders and shipments. | |
| Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. | Items / SKUs Product master records that fulfillment operations pick and ship against. |
What ships with Apache Pinot ⇄ Deposco
Connect Apache Pinot and Deposco for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Pinot–Deposco connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Pinot or Deposco data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Apache Pinot or Deposco record.
Observability
Monitoring
Track your Apache Pinot ⇄ Deposco sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Apache Pinot and Deposco.
How the Apache Pinot and Deposco connectors work
Apache Pinot
- Integration surface
- 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
- Change detection
- Not applicable for reads out (polling by time column); data enters Pinot via streaming ingestion or segment upload, not row-level writes
- Capabilities
- read · write
- Rate limits
- No fixed API quotas; query throughput depends on broker and server sizing
Deposco
- Integration surface
- REST API plus file-based interfaces (EDI and flat file) common to WMS integrations
- Authentication
- API credentials issued per integration (API key or basic authentication)
- Change detection
- Polling on order and inventory endpoints, subject to the platform's integration patterns
- Capabilities
- read · write
- Rate limits
- Subject to the platform's API rate limits
How it works
How to connect Apache Pinot to Deposco — three steps, no code
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.
- 01
Connect your apps
Authenticate Apache Pinot and Deposco with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Apache Pinot
connected
Deposco
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Pinot and Deposco 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.
objects · Apache Pinot ⇄ DeposcoCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Apache Pinot DeposcoCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Pinot and Deposco integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Apache Pinot and Deposco: authenticate both systems, choose the objects to sync (such as Apache Pinot's Real-time Tables and Offline Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Apache Pinot: Data is stored in immutable segments; batch writes happen by building and uploading segments rather than issuing row inserts. Deposco: Deposco's Bright Suite combines warehouse management, order management, and fulfillment in one platform, so order, inventory, and shipment data share a single system of record. Stacksync's field mapping accounts for these differences between Apache Pinot and Deposco 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 Apache Pinot and Deposco records are not retained after a sync operation.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Pinot and Deposco connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Pinot–Deposco integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Apache Pinot and Deposco. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Apache Pinot: Not applicable for reads out (polling by time column); data enters Pinot via streaming ingestion or segment upload, not row-level writes. On Deposco: Polling on order and inventory endpoints, subject to the platform's integration patterns. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
SECURITY
Security teams love Stacksync
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.
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Apache Pinot and Deposco.
Popular · 8 of 386
-
Apache Pinot ⇄ Logiwa WMS -
Apache Pinot ⇄ Macola ERP -
Apache Pinot ⇄ Manhattan Associates WMS -
Apache Pinot ⇄ Microsoft Dynamics GP -
Deposco ⇄ Cloudera Data Platform -
Deposco ⇄ Dremio -
Deposco ⇄ Exasol -
Deposco ⇄ Firebolt
No integrations match .
