Two-way sync
Changes in Apache Hive or Microsoft 365 instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Hive and Microsoft 365 in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Whatever Microsoft 365 is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.
Stacksync syncs Contacts, OneDrive Files (driveItems), SharePoint Sites & Lists, Teams from Microsoft 365 into tables in Apache Hive continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Apache Hive can also be written back into fields in Microsoft 365 where the tool can use them.
Segments, scores, or reference values computed in Apache Hive sync back onto records in Microsoft 365, putting analysis where the work happens.
A continuously synced copy in Apache Hive preserves a queryable record even as data ages out of Microsoft 365 or gets changed inside it.
Records and events from Microsoft 365 land in Apache Hive as queryable tables, current within seconds and ready to join with the rest of the warehouse.
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 | Microsoft 365 objects | |
|---|---|---|
| Materialized Views Precomputed results available in newer Hive versions for faster reads. | Calendar Events Events synced with scheduling tools and CRMs for meeting visibility. | |
| ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. | Contacts Personal and org contacts kept consistent with CRM contact records. | |
| Metastore Catalog The schema registry other engines (Spark, Presto, Impala) also read. | OneDrive Files (driveItems) File and folder metadata synced for document workflows and audits. | |
| Databases Metastore namespaces that scope tables and grants. | SharePoint Sites & Lists List items read and written like lightweight database tables. | |
| Managed Tables Tables whose data lifecycle Hive controls, used as warehouse destinations. | Teams Team and membership data provisioned from upstream systems. | |
| External Tables Tables over existing files in HDFS or object storage, read without moving data. | Planner & To Do Tasks Task items synced with project and work-management tools. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Hive–Microsoft 365 connection.
Changes in Apache Hive or Microsoft 365 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Hive or Microsoft 365 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 Microsoft 365 record.
Track your Apache Hive ⇄ Microsoft 365 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Hive and Microsoft 365.
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 Microsoft 365 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 Microsoft 365 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 Microsoft 365: authenticate both systems, choose the objects to sync (such as Apache Hive's Materialized Views and ACID Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Microsoft 365 side: Contacts, OneDrive Files (driveItems), SharePoint Sites & Lists, Teams, plus custom fields where Microsoft 365 exposes them. On the Apache Hive side: Materialized Views, ACID Tables, Metastore Catalog, Databases. 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 Microsoft 365: Where Microsoft 365 accepts updates: operational write-back; History that outlives the tool; Analytics on Microsoft 365's data. Segments, scores, or reference values computed in Apache Hive sync back onto records in Microsoft 365, putting analysis where the work happens.
Apache Hive: SQL (HiveQL) over JDBC/ODBC via HiveServer2 (Thrift). Authentication: Deployment-dependent: Kerberos, LDAP, or username/password. Microsoft 365: REST API (Microsoft Graph). Authentication: OAuth 2.0 via Microsoft Entra ID, with delegated or application permissions. Stacksync manages authentication, retries, and rate limits on both sides.
Microsoft 365: Access is scoped per permission via Entra ID admin consent, so an integration only sees the workloads it was granted. Apache Hive: The Hive Metastore acts as a shared catalog consumed by other engines such as Spark, Presto/Trino, and Impala, so schema changes propagate beyond Hive itself. Stacksync's field mapping accounts for these differences between Apache Hive and Microsoft 365 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 Microsoft 365.