Two-way sync
Changes in Apache Hive or Extensiv (3PL Central) instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Hive and Extensiv (3PL Central) 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 Extensiv (3PL Central) carries financials, operations, workforce data, or all three, the analysis belongs in Apache Hive next to everything else the company measures.
Stacksync syncs Inventory, Orders, Receivers, Shipments from Extensiv (3PL Central) into tables in Apache Hive continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Apache Hive can be written back to fields in Extensiv (3PL Central) where that is useful.
Operational records become queryable tables in Apache Hive, joinable with sales and finance data.
Combine Extensiv (3PL Central)'s records with data synced from other systems in Apache Hive for consolidated views no single system can produce.
Classifications or reference values computed in Apache Hive sync back onto the corresponding records in Extensiv (3PL Central).
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 Hive objects | Extensiv (3PL Central) objects | |
|---|---|---|
| External Tables Tables over existing files in HDFS or object storage, read without moving data. | Items SKU masters kept aligned between the merchant's systems and the warehouse. | |
| Partitions Directory-mapped subsets (often by date) that bound incremental sync reads. | Inventory On-hand and available quantities by warehouse, mirrored out to drive channel availability. | |
| Views Logical views readable as modeled sources. | Orders Outbound fulfillment orders pushed in from commerce or ERP systems. | |
| Materialized Views Precomputed results available in newer Hive versions for faster reads. | Receivers Inbound receiving records (receipts/ASNs) that confirm stock arrival back to purchasing systems. | |
| ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. | Shipments Carrier and tracking details synced back once orders ship. | |
| Metastore Catalog The schema registry other engines (Spark, Presto, Impala) also read. | Warehouses Facility records that partition inventory and order routing. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Hive–Extensiv (3PL Central) connection.
Changes in Apache Hive or Extensiv (3PL Central) instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Hive or Extensiv (3PL Central) 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 Hive or Extensiv (3PL Central) record.
Track your Apache Hive ⇄ Extensiv (3PL Central) sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Hive and Extensiv (3PL Central).
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 Hive and Extensiv (3PL Central) 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 Hive and Extensiv (3PL Central) 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 Hive and Extensiv (3PL Central): authenticate both systems, choose the objects to sync (such as Apache Hive's External Tables and Partitions), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Apache Hive side: Materialized Views, ACID Tables, Metastore Catalog, Databases, plus custom fields where Apache Hive exposes them. On the Extensiv (3PL Central) side: Inventory, Orders, Receivers, Shipments. 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 Hive and Extensiv (3PL Central): Where Extensiv (3PL Central) runs operations: order and supply analysis; Group reporting across systems; Write-back where Extensiv (3PL Central) exposes writable fields. Operational records become queryable tables in Apache Hive, joinable with sales and finance data.
Apache Hive: SQL (HiveQL) over JDBC/ODBC via HiveServer2 (Thrift). Authentication: Deployment-dependent: Kerberos, LDAP, or username/password. Extensiv (3PL Central): REST API. Authentication: Short-lived access tokens obtained from integration client credentials (client ID and secret). Stacksync manages authentication, retries, and rate limits on both sides.
Apache Hive: Hive is schema-on-read: tables are metadata over files in HDFS or object storage, so external tables can expose existing data without copying it. Extensiv (3PL Central): The data model is multi-client by design: records belong to a specific 3PL customer, so integrations must map each merchant to the right customer scope. Stacksync's field mapping accounts for these differences between Apache Hive and Extensiv (3PL Central) 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.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Apache Hive and Extensiv (3PL Central).