Two-way sync
Changes in Apache Impala or Extensiv (3PL Central) instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Impala 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 Impala next to everything else the company measures.
Stacksync syncs Inventory adjustments, Customers, Items, Inventory from Extensiv (3PL Central) into tables in Apache Impala continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Apache Impala can be written back to fields in Extensiv (3PL Central) where that is useful.
Worker and organization data syncs into Apache Impala for headcount, cost, and planning analysis alongside other company data.
Operational records become queryable tables in Apache Impala, joinable with sales and finance data.
Combine Extensiv (3PL Central)'s records with data synced from other systems in Apache Impala for consolidated views no single system can produce.
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 Impala objects | Extensiv (3PL Central) objects | |
|---|---|---|
| Views Logical views readable as modeled sources. | Orders Outbound fulfillment orders pushed in from commerce or ERP systems. | |
| Kudu Tables Kudu-backed tables that support row-level insert, update, upsert, and delete. | Receivers Inbound receiving records (receipts/ASNs) that confirm stock arrival back to purchasing systems. | |
| External Tables Tables over files loaded by other tools, queryable without data movement. | Shipments Carrier and tracking details synced back once orders ship. | |
| Users and Roles Principals (often via Ranger/Sentry) used to grant scoped read access. | Warehouses Facility records that partition inventory and order routing. | |
| Databases Namespaces shared with the Hive Metastore that scope tables. | Inventory adjustments Manual stock corrections that reconciliation syncs need to capture. | |
| Tables HDFS or object-storage backed tables (commonly Parquet) read at interactive speed. | Customers The 3PL's clients; nearly every other record is scoped to one, so syncs carry customer context on each call. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Impala–Extensiv (3PL Central) connection.
Changes in Apache Impala or Extensiv (3PL Central) instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Impala 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 Impala or Extensiv (3PL Central) record.
Track your Apache Impala ⇄ Extensiv (3PL Central) sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Impala 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 Impala 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 Impala 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 Impala and Extensiv (3PL Central): authenticate both systems, choose the objects to sync (such as Apache Impala's Views and Kudu Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Apache Impala: Polling on partition or timestamp columns; no change log exposed for external consumers. On Extensiv (3PL Central): Webhook events for order, receipt, item, and inventory changes, with polling on modified-date filters as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Apache Impala side: Users and Roles, Databases, Tables, Partitions, plus custom fields where Apache Impala exposes them. On the Extensiv (3PL Central) side: Inventory adjustments, Customers, Items, Inventory. 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 Impala and Extensiv (3PL Central): Where Extensiv (3PL Central) is the HR system of record: workforce analytics; Where Extensiv (3PL Central) runs operations: order and supply analysis; Group reporting across systems. Worker and organization data syncs into Apache Impala for headcount, cost, and planning analysis alongside other company data.
Apache Impala: SQL over JDBC/ODBC (HiveServer2-compatible protocol). 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.
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 Impala and Extensiv (3PL Central).