Real-time
Two-way sync
Changes in Easypost or Jdbc instantly reflect in both systems. No stale data, no manual imports.
E-commerce ⇄ Database
Easypost to Jdbc integration — real-time, two-way sync
Keep Easypost and Jdbc 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
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Migrated from MuleSoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Easypost and Jdbc
Give your engineers Easypost's products, orders, and customers in Jdbc: read them with normal queries, write inventory and prices back through the sync, and skip the storefront API.
E-commerce data sits behind an API built for the storefront, not for your internal systems. Teams that need those records, for order routing, inventory logic, reporting, or back-office tools, end up writing integration code against a rate-limited API and maintaining it through every catalog change and platform upgrade.
Stacksync mirrors Webhook, Shipment, Address, Parcel from Easypost into Jdbc and keeps both sides consistent in real time. Whatever Easypost holds, whether products, orders, customers, or inventory, those records become rows your code can query, and changes written in Jdbc, such as new prices, stock levels, or fulfillment status, sync back into Easypost with its validations respected.
Merchandising and operations keep working in the storefront, engineers keep working in the database, and neither side has to reconcile against a nightly export.
Common use cases
- 01 Incrementally sync a high-volume table by polling an updated_at or auto-increment column, keeping a downstream store fresh without full reloads.
- 02 Consolidate several databases from different vendors into one relational store by syncing each through its own JDBC driver.
- 03 Create a Tracker for every outbound shipment and stream tracker.updated webhook events into Postgres or a warehouse so support and ops see live delivery status beside order records.
- 04 Verify and normalize customer Addresses through EasyPost before they are saved to the CRM or OMS to cut failed deliveries and carrier address-correction surcharges.
Common sync patterns
Internal tools and automations without API code
Scripts and services read and write the synced tables; Stacksync handles the Easypost API, rate limits, and retries.
React to store changes
Updates in Easypost arrive as row changes in Jdbc, so jobs and triggers can respond the moment an order, price, or stock level changes.
Keep catalog and inventory current
Prices, stock levels, or product details maintained in Jdbc sync back onto Easypost, so the storefront shows what your systems treat as true.
What you can sync between Easypost and Jdbc
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.
| Easypost objects | Jdbc objects | How this pairing syncs | |
|---|---|---|---|
| Address Origin and destination locations; create, retrieve, and list, plus address verification (delivery and residential) to normalize and validate addresses before they are saved downstream. | Schemas & catalogs Namespaces that group tables and views; the connector targets a schema/catalog and lists its objects from the JDBC metadata to build the sync. | Address is specific to Easypost and Schemas & catalogs to Jdbc — each maps to any object or custom field on the other side. | |
| Parcel Package dimensions and weight (or a predefined_package); created standalone or inline on a Shipment and reused across shipments and batches. | Stored procedures & functions Server-side routines callable via JDBC CallableStatement; invoked for custom read or write logic when a table-level mapping is not enough. | Parcel is specific to Easypost and Stored procedures & functions to Jdbc — each maps to any object or custom field on the other side. | |
| Rate Carrier service and price options EasyPost generates on a Shipment; read-only - you select a rate id and buy it, you do not create or edit rates directly. | Sequences Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system. | Rate is specific to Easypost and Sequences to Jdbc — each maps to any object or custom field on the other side. | |
| Tracker Tracking for a shipment by tracking_code and carrier; create a Tracker to begin tracking, read status and tracking_details, and receive tracker.updated events via webhook as the parcel moves. | Tables The base relational tables in the target database; synced two-way as rows over SQL, with each table's primary key driving upserts and row-level updates. | Tracker is specific to Easypost and Tables to Jdbc — each maps to any object or custom field on the other side. | |
| Batch Bulk shipment processing; create a batch, add or remove shipments, buy all labels at once, and generate a consolidated label or ScanForm for the day's orders. | Views Stored SELECT queries exposed like tables; read-only projections synced outbound when raw base tables should not be exposed downstream. | Batch is specific to Easypost and Views to Jdbc — each maps to any object or custom field on the other side. | |
| CarrierAccount Carrier credentials and settings that control which carriers and negotiated rates are available; create, update, and delete to manage enabled carriers across accounts. | Columns Per-table fields with data types, nullability, and defaults; enumerated via DatabaseMetaData.getColumns to auto-generate and type-check field mappings. | CarrierAccount is specific to Easypost and Columns to Jdbc — each maps to any object or custom field on the other side. |
How changes propagate between Easypost and Jdbc
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.
Easypost Jdbc Sub-second propagation
DetectionEasypost notifies Stacksync of record changes through webhook events. Webhooks deliver an Event via HTTP POST on object changes (e.g.
DeliveryEach detected change is applied to Jdbc as a row-level write, with types converted between the two schemas.
Jdbc Easypost Interval-based propagation
DetectionStacksync polls Jdbc for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.
DeliveryEach detected change is written to Easypost through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Easypost: Fixed 5 requests/second on index (list) endpoints plus a dynamic load-based limiter protecting buy and rate operations; exceeding either returns HTTP 429 Too Many Requests.
- Jdbc: No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
What ships with Easypost ⇄ Jdbc
Connect Easypost and Jdbc for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Easypost–Jdbc connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Easypost or Jdbc 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 Easypost or Jdbc record.
Observability
Monitoring
Track your Easypost ⇄ Jdbc sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Easypost and Jdbc.
How the Easypost and Jdbc connectors work
Easypost
- Integration surface
- REST API (EasyPost API v2, https://api.easypost.com/v2)
- Authentication
- HTTP Basic auth with the API key as the username and an empty password (Bearer token also accepted); separate Test and Production keys
- Change detection
- Webhooks deliver an Event via HTTP POST on object changes (e.g. tracker.updated); historical pulls via list/index endpoints using before_id/after_id cursor pagination
- Capabilities
- read · write · webhooks
- Rate limits
- Fixed 5 requests/second on index (list) endpoints plus a dynamic load-based limiter protecting buy and rate operations; exceeding either returns HTTP 429 Too Many Requests
Jdbc
- Integration surface
- JDBC API (java.sql / javax.sql) executing SQL through a JDBC driver, typically a pure-Java Type 4 driver; reaches any relational database with a driver - PostgreSQL, MySQL, SQL Server, Oracle, IBM DB2, and others - via a JDBC URL such as jdbc:postgresql://host:5432/db.
- Authentication
- A database user's username and password supplied in the JDBC connection (DriverManager or a DataSource), typically over a TLS/SSL-encrypted connection. Some drivers add Kerberos, integrated Windows auth, or cloud IAM-token auth, but the available methods depend on the target database and its driver.
- Change detection
- No native change feed. Incremental sync polls a cursor column - an updated_at timestamp or an auto-incrementing key - to pull new and changed rows; detecting deletes needs soft-delete flags or database triggers writing to a shadow table. No webhooks.
- Capabilities
- read · write
- Rate limits
- No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
How it works
How to connect Easypost to Jdbc — 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 Easypost and Jdbc with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Easypost
connected
Jdbc
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Easypost and Jdbc 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 · Easypost ⇄ JdbcCustomers 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.
Easypost JdbcCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Easypost and Jdbc integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Easypost and Jdbc: authenticate both systems, choose the objects to sync (such as Easypost's Address and Parcel), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Easypost: REST API (EasyPost API v2, https://api.easypost.com/v2). Authentication: HTTP Basic auth with the API key as the username and an empty password (Bearer token also accepted); separate Test and Production keys. Jdbc: JDBC API (java.sql / javax.sql) executing SQL through a JDBC driver, typically a pure-Java Type 4 driver; reaches any relational database with a driver - PostgreSQL, MySQL, SQL Server, Oracle, IBM DB2, and others - via a JDBC URL such as jdbc:postgresql://host:5432/db. Authentication: A database user's username and password supplied in the JDBC connection (DriverManager or a DataSource), typically over a TLS/SSL-encrypted connection. Some drivers add Kerberos, integrated Windows auth, or cloud IAM-token auth, but the available methods depend on the target database and its driver. Stacksync manages authentication, retries, and rate limits on both sides.
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Jdbc: Authentication is a database user's username and password in the JDBC connection, usually over TLS/SSL; some drivers add Kerberos or cloud IAM-token auth, but that is driver-specific. Easypost: Authentication is HTTP Basic auth with the API key as the username and an empty password (equivalent to a Bearer token), so keys must be stored securely and rotated on exposure. Stacksync's field mapping accounts for these differences between Easypost and Jdbc without custom code.
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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 Easypost and Jdbc records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Easypost and Jdbc connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Easypost–Jdbc integration in-house.
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Yes — Stacksync ships production-grade connectors for both Easypost and Jdbc. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
SECURITY
Security teams trust 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
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 389 integrations available for Easypost and Jdbc.
Popular · 6 of 389
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Easypost ⇄ RavenDB -
Easypost ⇄ Redis Enterprise -
Easypost ⇄ SAP ASE (Sybase) -
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Jdbc ⇄ Magento -
Jdbc ⇄ Shipwire
No integrations match .
