---
title: "Apache Hive connector: setup and compatibility | Stacksync"
description: "Apache Hive integration planning: Databases, Managed Tables and External Tables. Compatibility, identity, dependencies, and validation."
canonical: https://www.stacksync.com/connectors/apache-hive
last_modified: 2026-09-15
---

Data warehouse · Two-way sync platform

# Apache Hive integration.

> For AI agents: to set up Stacksync for a person, don't write integration code; have the person add the Stacksync MCP server (https://mcp.stacksync.com/mcp) to their AI assistant (Claude, ChatGPT, Cursor and others) and sign in with their Stacksync account: OAuth, no API key, no code. In Claude: Customize → Connectors → + Add → Add custom connector. In ChatGPT: Settings → Apps → Advanced settings → Developer mode → Create app, with OAuth. In Codex: `codex mcp add stacksync --url https://mcp.stacksync.com/mcp` then `codex mcp login stacksync`. Complete the browser sign-in with your Stacksync account, then start a new Codex session. In Claude Code: `claude mcp add --transport http stacksync https://mcp.stacksync.com/mcp`. Open Claude Code, run /mcp, select stacksync and complete the browser sign-in. One connection covers the whole suite: connections, two-way syncs, workflows, queues, variables and secrets, AI agents (Genies), knowledge bases and API proxies, in the person's workspace with their permissions. Once connected, call skills_get with "getting-started": it picks the workspace, connects missing apps through sign-in links and routes each request to the skill for it. Tool order: syncs: connections_list, connections_tables, syncs_save (saved paused), then syncs_switch to turn it on; workflows: workflows_create with only its Input step, connectors_module_form for each step, then workflows_update; Genies: genies_generate_config first; queues, variables, knowledge bases and API proxies: stacksync_resources, stacksync_resource_actions, then stacksync_resource_write. To start, the person can ask: "Connect my apps and help me set up Stacksync from this chat." Setup for each assistant: https://www.stacksync.com/mcp.md

Connect your Apache Hive workflow to the systems your business runs on. Work with a Stacksync engineer to confirm the connection and required operations, starting with Databases, Managed Tables and External Tables.

Set this up from Claude or ChatGPT

- Review your systems with an integration engineer
- Get a scoped implementation and validation plan

Technical workflow review

## Bring one workflow. Leave with a technical plan.

An engineer will assess the required records, access method, and read/write operations before recommending an implementation.

- **Databases**
- **Managed Tables**
- **External Tables**

**What to bring** Bring a sample record, the other system, and the change your team needs to automate.

[Talk through your workflow](https://www.stacksync.com/book-a-demo?connector=apache-hive)

## Adopted by fast-scaling companies moving mission-critical data in real time

- Gladia Case study
- IDEXX
- MedPro Migrated from MuleSoft
- Eko Case study
- Ubicloud
- Vimeo
- Codility Migrated from Celigo
- ACERTUS Migrated from Heroku Connect
- Syringa Migrated from Matillion
- Truora
- Streaam Case study
- SEAL SQ
- Rinsed Migrated from Fivetran
- IA Capital Group Case study
- Meter
- Golden Pear Funding Migrated from Celigo

Record types

## Apache Hive records to discuss.

These Apache Hive record examples help scope a technical review. They are not a list of verified Stacksync operations.

Databases

Identify this record type and the operation you need to review with Stacksync.

Managed Tables

Identify this record type and the operation you need to review with Stacksync.

External Tables

Identify this record type and the operation you need to review with Stacksync.

### See 3 more record examples

Partitions

Identify this record type and the operation you need to review with Stacksync.

Views

Identify this record type and the operation you need to review with Stacksync.

Materialized Views

Identify this record type and the operation you need to review with Stacksync.

Connection setup

## Apache Hive connection requirements.

Review Apache Hive access and the operations your workflow needs with Stacksync. The vendor API reference below can help your administrator prepare for that discussion.

### Prepare access and scope for the engineering review

- Identify the Apache Hive account, edition, environment, and business objects the integration must access.
- Confirm a Stacksync connector or implementation path for Apache Hive, including read/write support, authentication, and initial-load limits.

Integration design

## Match records and fields for your Apache Hive integration.

Choose the dataset grain, stable business key, and model refresh schedule. If results update an application, restrict writes to fields owned by the analytical process.

Use these design questions to prepare a representative record and the business rules your integration must preserve.

### Explore record matching and field-mapping checks

Apache Hive **Source record ID** Keep the account and record type

Record matching **Source ID ↔ destination ID** Link the same record across systems

Selected destination **Destination record ID** Preserve its local key and rules

*Conceptual identity model. Keep source and destination IDs linked so an update reaches the right record. Confirm the supported sync direction separately.*

Match the same record in both systems

Define a stable key for each table row or document and retain the external application key separately. Confirm the selected connector’s exact key requirements before altering a schema.

Load related records in the right order

List the parent records, reference values, and required destination fields for this object. Do not infer a business entity from a generic table or resource label.

### Mapping checks by record type

#### Databases, Managed Tables and External Tables

Confirm object support with Stacksync

Identity

Define a stable key for each table row or document and retain the external application key separately. Confirm the selected connector’s exact key requirements before altering a schema.

Fields to consider

Local record key · External application ID · Required business fields · Parent record references

Related records to resolve first

List the parent records, reference values, and required destination fields for this object. Do not infer a business entity from a generic table or resource label.

Test before going live

Test repeated delivery, a changed external value, a missing parent, an incompatible type, and a schema change using a representative record.

[Download the field-mapping workbook (CSV)](https://www.stacksync.com/downloads/sync-planning/field-mapping-workbook.csv) to capture the actual API fields, matching keys, owners, and test results. Use it as you build with your team or a Stacksync engineer.

Setup and validation

## Validate the Apache Hive integration in four steps.

The destination can trace a value to its source dataset and computation time, and a model refresh does not create duplicate operational records.

### View the four setup tests and expected results

1. ### Verify Apache Hive connectivity and database privileges

   After confirming an implementation path, validate the selected access method from the integration network to the intended host, database, and schema. Have the administrator demonstrate the permissions required for both the first read and later change capture.

   **Expected result:** The approved role can access the selected data and capture later changes without depending on an administrator’s personal session.
2. ### Test record matching for Databases, Managed Tables and External Tables

   Using the implementation established in the compatibility review, preserve the selected source ID and resolve the required references. Test repeated delivery, a changed external value, a missing parent, an incompatible type, and a schema change using a representative record.

   **Expected result:** The destination can trace a value to its source dataset and computation time, and a model refresh does not create duplicate operational records.
3. ### Test the operation your workflow needs

   Review one Apache Hive record with a Stacksync engineer. Confirm how it should reach the other system, how often it must update, and whether your workflow needs reads, creates, or updates. Test those operations before expanding the integration.

   **Expected result:** The selected operation is confirmed, addresses the intended record, and exposes rejected values for repair.
4. ### Test recovery and name the support owner

   For the confirmed implementation, interrupt a non-production transfer and restore access. Establish whether recovery uses the current source state or a stored historical event, and verify that repeated delivery preserves record identity.

   **Expected result:** The records have the expected current values, repeated delivery creates no duplicate business record, and your team knows who handles unresolved errors.

[Use the production-readiness checklist](https://www.stacksync.com/blog/two-way-sync-production-readiness-checklist) to record test results, assign support owners, and agree on when to go live.

Troubleshooting

## Troubleshoot your Apache Hive integration.

### Diagnose record matching, delayed changes, and rejected operations

A Apache Hive record appears under the wrong destination record

Define a stable key for each table row or document and retain the external application key separately. Confirm the selected connector’s exact key requirements before altering a schema. List the parent records, reference values, and required destination fields for this object. Do not infer a business entity from a generic table or resource label. Repair the ID relationship before repeating the operation.

The first load looks correct but later results differ

Confirm the selected Apache Hive implementation’s change-detection method for Databases, Managed Tables and External Tables. Compare later changes with the original source rather than using a successful initial copy as evidence of ongoing capture.

One operation succeeds while another is rejected

Check the specific Apache Hive object, field permissions, required references, and allowed operation. A successful read does not establish that a create, update, deletion, or business action is available.

[Review retry, replay, and recovery behavior](https://www.stacksync.com/blog/two-way-sync-error-handling-retries-replay) before repeating an operation that may already have succeeded.

[Review your Apache Hive workflow with an engineer](https://www.stacksync.com/book-a-demo?connector=apache-hive)

## Apache Hive integration guides

- [checklist Two-Way Sync Production-Readiness Checklist](https://www.stacksync.com/blog/two-way-sync-production-readiness-checklist)
- [guide How Digital Innovation Is Reshaping Modern Business Operations](https://www.stacksync.com/blog/how-digital-innovation-is-reshaping-modern-business-operations)

FAQ

## Apache Hive connector FAQ

### How should I plan an integration with Apache Hive?

Choose the dataset grain, stable business key, and model refresh schedule. If results update an application, restrict writes to fields owned by the analytical process. Confirm the connection and read/write operations with Stacksync. Start with one workflow, agree on which fields each system owns, then test initial data, later changes, and recovery before expanding.

### Can the Apache Hive connector write changes back?

Write-back support is not established for this connection. Review the Apache Hive records and fields you need with a Stacksync engineer, then test the required operation with a representative record.

### Which identifiers should I preserve for Apache Hive data?

Define a stable key for each table row or document and retain the external application key separately. Confirm the selected connector’s exact key requirements before altering a schema.

### Which related records should I load first for Apache Hive?

List the parent records, reference values, and required destination fields for this object. Do not infer a business entity from a generic table or resource label.

### How do I validate Apache Hive changes after the initial load?

Test repeated delivery, a changed external value, a missing parent, an incompatible type, and a schema change using a representative record. The destination can trace a value to its source dataset and computation time, and a model refresh does not create duplicate operational records.

### What will we cover in a Apache Hive integration demo?

Start with one workflow and a sample record from Databases, Managed Tables and External Tables. We can review how to identify the record, connect related data, set the update direction, and test recovery. Include the person who owns the source system and anyone who will maintain the integration; you do not need a finished requirements document.

AI assistant

## Set up Apache Hive from Claude or ChatGPT

Connect the Stacksync MCP server to your AI assistant, then ask for the sync in plain language. You only sign in; there is no code to write and no API key to paste.

### 1. Add the Stacksync MCP server

Server URL

`https://mcp.stacksync.com/mcp`

#### In Claude

1. Open Customize → Connectors, select + Add, then Add custom connector.
2. Name it Stacksync and enter https://mcp.stacksync.com/mcp.
3. Select Connect, sign in to Stacksync and choose your workspace.

#### In ChatGPT

1. Open Settings → Apps → Advanced settings and turn on Developer mode.
2. Select Create app, name it Stacksync, enter https://mcp.stacksync.com/mcp and choose OAuth.
3. Sign in to Stacksync, then enable Stacksync from the tools menu in a chat.

##### Set up Codex or Claude Code

#### Codex

```
codex mcp add stacksync --url https://mcp.stacksync.com/mcp
codex mcp login stacksync
```

Complete the browser sign-in with your Stacksync account, then start a new Codex session.

#### Claude Code

```
claude mcp add --transport http stacksync https://mcp.stacksync.com/mcp
```

Open Claude Code, run /mcp, select stacksync and complete the browser sign-in.

Then ask: “List my Stacksync workspaces.” Sign-in connects your assistant; it does not create a sync yet.

Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI and other assistants: [setup steps in the docs](https://docs.stacksync.com/mcp).

### 2. Ask your assistant

> Create a sync between my Apache Hive and another app or database.

#### Also from the same chat

You can also ask for workflows and AI agents (Genies) that use Apache Hive. The assistant checks what each app supports, for example:

- “Build a workflow that messages our team in Slack when a Apache Hive record changes.”
- “Create a Genie that answers questions about our Apache Hive data in Slack.”

#### What happens next

- Signs you in with your Stacksync login (OAuth). No API key is pasted into the chat.
- Gives you a secure sign-in link for each app it connects; you open it and sign in to that app.
- Builds the sync with your permissions in Stacksync, nothing more. Turn on Ask before every change in the MCP settings to approve each change first.

New to Stacksync? [Create an account](https://app.stacksync.com/signup) first, then sign in from your assistant.

## Explore Apache Hive connections

Choose the other system in your workflow. Each guide explains the connection options, available operations, field mapping, and setup checks for that pair.

### Start with these integration guides

- [Apache Hive and Stripe](https://www.stacksync.com/integrations/apache-hive-and-stripe)
- [Apache Hive and DuckDB](https://www.stacksync.com/integrations/apache-hive-and-duckdb)
- [Apache Hive and IBM Db2](https://www.stacksync.com/integrations/apache-hive-and-ibm-db2)
- [Apache Hive and IBM Netezza](https://www.stacksync.com/integrations/apache-hive-and-ibm-netezza)
- [Apache Hive and Firebolt](https://www.stacksync.com/integrations/apache-hive-and-firebolt)
- [Apache Hive and Teradata Vantage](https://www.stacksync.com/integrations/apache-hive-and-teradata-vantage)
- [Airtable and Apache Hive](https://www.stacksync.com/integrations/airtable-and-apache-hive)
- [Apache Hive and Veeva CRM](https://www.stacksync.com/integrations/apache-hive-and-veeva-crm)

### CRM · 32

- [Apache Hive and 6sense](https://www.stacksync.com/integrations/6sense-and-apache-hive)
- [Apache Hive and Affinity](https://www.stacksync.com/integrations/affinity-and-apache-hive)
- [Apache Hive and Attio](https://www.stacksync.com/integrations/apache-hive-and-attio)
- [Apache Hive and Chorusai](https://www.stacksync.com/integrations/apache-hive-and-chorusai)
- [Apache Hive and Clearbit](https://www.stacksync.com/integrations/apache-hive-and-clearbit)
- [Apache Hive and Close](https://www.stacksync.com/integrations/apache-hive-and-close)
- [Apache Hive and Copper CRM](https://www.stacksync.com/integrations/apache-hive-and-copper-crm)
- [Apache Hive and Dun & Bradstreet](https://www.stacksync.com/integrations/apache-hive-and-dun-bradstreet)
- [Apache Hive and Freshsales](https://www.stacksync.com/integrations/apache-hive-and-freshsales)
- [Apache Hive and Freshworks CRM](https://www.stacksync.com/integrations/apache-hive-and-freshworks-crm)
- [Apache Hive and Gong](https://www.stacksync.com/integrations/apache-hive-and-gong)
- [Apache Hive and Gorgias](https://www.stacksync.com/integrations/apache-hive-and-gorgias)
- [Apache Hive and HubSpot](https://www.stacksync.com/integrations/apache-hive-and-hubspot)
- [Apache Hive and Infor CRM](https://www.stacksync.com/integrations/apache-hive-and-infor-crm)
- [Apache Hive and Insightly](https://www.stacksync.com/integrations/apache-hive-and-insightly)
- [Apache Hive and Intercom](https://www.stacksync.com/integrations/apache-hive-and-intercom)
- [Apache Hive and Kommo](https://www.stacksync.com/integrations/apache-hive-and-kommo)
- [Apache Hive and Outreach](https://www.stacksync.com/integrations/apache-hive-and-outreach)
- [Apache Hive and Pipedrive](https://www.stacksync.com/integrations/apache-hive-and-pipedrive)
- [Apache Hive and Salesforce](https://www.stacksync.com/integrations/apache-hive-and-salesforce)
- [Apache Hive and Salesloft](https://www.stacksync.com/integrations/apache-hive-and-salesloft)
- [Apache Hive and SAP Sales Cloud](https://www.stacksync.com/integrations/apache-hive-and-sap-sales-cloud)
- [Apache Hive and Seismic](https://www.stacksync.com/integrations/apache-hive-and-seismic)
- [Apache Hive and Shopify](https://www.stacksync.com/integrations/apache-hive-and-shopify)
- [Apache Hive and Streak CRM](https://www.stacksync.com/integrations/apache-hive-and-streak-crm)
- [Apache Hive and SugarCRM](https://www.stacksync.com/integrations/apache-hive-and-sugarcrm)
- [Apache Hive and Veeva CRM](https://www.stacksync.com/integrations/apache-hive-and-veeva-crm)
- [Apache Hive and Vtiger CRM](https://www.stacksync.com/integrations/apache-hive-and-vtiger-crm)
- [Apache Hive and Xactly](https://www.stacksync.com/integrations/apache-hive-and-xactly)
- [Apache Hive and Zoho CRM](https://www.stacksync.com/integrations/apache-hive-and-zoho-crm)
- [Apache Hive and Zoho SalesIQ](https://www.stacksync.com/integrations/apache-hive-and-zoho-salesiq)
- [Apache Hive and ZoomInfo](https://www.stacksync.com/integrations/apache-hive-and-zoominfo)

### ERP · 24

- [Apache Hive and Acumatica](https://www.stacksync.com/integrations/acumatica-and-apache-hive)
- [Apache Hive and Brightpearl](https://www.stacksync.com/integrations/apache-hive-and-brightpearl)
- [Apache Hive and Cin7](https://www.stacksync.com/integrations/apache-hive-and-cin7)
- [Apache Hive and Dynamics 365 Business Central](https://www.stacksync.com/integrations/apache-hive-and-microsoft-dynamics-365-business-central)
- [Apache Hive and Epicor ERP](https://www.stacksync.com/integrations/apache-hive-and-epicor-erp)
- [Apache Hive and Infor LN](https://www.stacksync.com/integrations/apache-hive-and-infor-ln)
- [Apache Hive and Infor M3](https://www.stacksync.com/integrations/apache-hive-and-infor-m3)
- [Apache Hive and Linnworks](https://www.stacksync.com/integrations/apache-hive-and-linnworks)
- [Apache Hive and Microsoft Dynamics GP](https://www.stacksync.com/integrations/apache-hive-and-microsoft-dynamics-gp)
- [Apache Hive and Microsoft Dynamics NAV](https://www.stacksync.com/integrations/apache-hive-and-microsoft-dynamics-nav)
- [Apache Hive and NetSuite](https://www.stacksync.com/integrations/apache-hive-and-netsuite)
- [Apache Hive and Odoo](https://www.stacksync.com/integrations/apache-hive-and-odoo)
- [Apache Hive and Plex ERP](https://www.stacksync.com/integrations/apache-hive-and-plex-erp)
- [Apache Hive and QAD ERP](https://www.stacksync.com/integrations/apache-hive-and-qad-erp)
- [Apache Hive and Sage 100](https://www.stacksync.com/integrations/apache-hive-and-sage-100)
- [Apache Hive and Sage 300](https://www.stacksync.com/integrations/apache-hive-and-sage-300)
- [Apache Hive and Sage Intacct](https://www.stacksync.com/integrations/apache-hive-and-sage-intacct)
- [Apache Hive and Sage X3](https://www.stacksync.com/integrations/apache-hive-and-sage-x3)
- [Apache Hive and SAP](https://www.stacksync.com/integrations/apache-hive-and-sap)
- [Apache Hive and SAP Business ByDesign](https://www.stacksync.com/integrations/apache-hive-and-sap-business-bydesign)
- [Apache Hive and SAP Business One](https://www.stacksync.com/integrations/apache-hive-and-sap-business-one)
- [Apache Hive and SAP S/4HANA](https://www.stacksync.com/integrations/apache-hive-and-sap-s4hana)
- [Apache Hive and Syspro](https://www.stacksync.com/integrations/apache-hive-and-syspro)
- [Apache Hive and TikTok Shop](https://www.stacksync.com/integrations/apache-hive-and-tiktok)

### Database · 15

- [Apache Hive and Airtable](https://www.stacksync.com/integrations/airtable-and-apache-hive)
- [Apache Hive and Amazon DynamoDB](https://www.stacksync.com/integrations/amazon-dynamodb-and-apache-hive)
- [Apache Hive and DuckDB](https://www.stacksync.com/integrations/apache-hive-and-duckdb)
- [Apache Hive and Elasticsearch](https://www.stacksync.com/integrations/apache-hive-and-elasticsearch)
- [Apache Hive and Firebase](https://www.stacksync.com/integrations/apache-hive-and-firebase)
- [Apache Hive and IBM Db2](https://www.stacksync.com/integrations/apache-hive-and-ibm-db2)
- [Apache Hive and InfluxDB](https://www.stacksync.com/integrations/apache-hive-and-influxdb)
- [Apache Hive and MongoDB](https://www.stacksync.com/integrations/apache-hive-and-mongodb)
- [Apache Hive and MySQL](https://www.stacksync.com/integrations/apache-hive-and-mysql)
- [Apache Hive and Neo4j](https://www.stacksync.com/integrations/apache-hive-and-neo4j)
- [Apache Hive and PostgreSQL](https://www.stacksync.com/integrations/apache-hive-and-postgresql)
- [Apache Hive and Redis Enterprise](https://www.stacksync.com/integrations/apache-hive-and-redis-enterprise)
- [Apache Hive and SAP HANA](https://www.stacksync.com/integrations/apache-hive-and-sap-hana)
- [Apache Hive and SQL Server](https://www.stacksync.com/integrations/apache-hive-and-sql-server)
- [Apache Hive and Supabase](https://www.stacksync.com/integrations/apache-hive-and-supabase)

### Data warehouse · 12

- [Apache Hive and Amazon Redshift](https://www.stacksync.com/integrations/amazon-redshift-and-apache-hive)
- [Apache Hive and Amazon S3](https://www.stacksync.com/integrations/apache-hive-and-aws-s3)
- [Apache Hive and Apache Druid](https://www.stacksync.com/integrations/apache-druid-and-apache-hive)
- [Apache Hive and Azure Synapse Analytics](https://www.stacksync.com/integrations/apache-hive-and-azure-synapse-analytics)
- [Apache Hive and BigQuery](https://www.stacksync.com/integrations/apache-hive-and-bigquery)
- [Apache Hive and ClickHouse](https://www.stacksync.com/integrations/apache-hive-and-clickhouse)
- [Apache Hive and Databricks](https://www.stacksync.com/integrations/apache-hive-and-databricks)
- [Apache Hive and Firebolt](https://www.stacksync.com/integrations/apache-hive-and-firebolt)
- [Apache Hive and Google Cloud Platform](https://www.stacksync.com/integrations/apache-hive-and-google-cloud-platform)
- [Apache Hive and IBM Netezza](https://www.stacksync.com/integrations/apache-hive-and-ibm-netezza)
- [Apache Hive and Snowflake](https://www.stacksync.com/integrations/apache-hive-and-snowflake)
- [Apache Hive and Teradata Vantage](https://www.stacksync.com/integrations/apache-hive-and-teradata-vantage)

### Business productivity · 31

- [Apache Hive and Adobe Sign](https://www.stacksync.com/integrations/adobe-sign-and-apache-hive)
- [Apache Hive and Amazon Seller Central](https://www.stacksync.com/integrations/amazon-seller-central-and-apache-hive)
- [Apache Hive and Asana](https://www.stacksync.com/integrations/apache-hive-and-asana)
- [Apache Hive and Atlassian](https://www.stacksync.com/integrations/apache-hive-and-atlassian)
- [Apache Hive and Braze](https://www.stacksync.com/integrations/apache-hive-and-braze)
- [Apache Hive and Campfire](https://www.stacksync.com/integrations/apache-hive-and-campfire)
- [Apache Hive and ConnectWise](https://www.stacksync.com/integrations/apache-hive-and-connectwise)
- [Apache Hive and Docusign](https://www.stacksync.com/integrations/apache-hive-and-docusign)
- [Apache Hive and eClinicalWorks](https://www.stacksync.com/integrations/apache-hive-and-eclinicalworks)
- [Apache Hive and Front](https://www.stacksync.com/integrations/apache-hive-and-front)
- [Apache Hive and Gainsight](https://www.stacksync.com/integrations/apache-hive-and-gainsight)
- [Apache Hive and GitHub](https://www.stacksync.com/integrations/apache-hive-and-github)
- [Apache Hive and Google Sheets](https://www.stacksync.com/integrations/apache-hive-and-google-sheets)
- [Apache Hive and Ironclad](https://www.stacksync.com/integrations/apache-hive-and-ironclad)
- [Apache Hive and Klaviyo](https://www.stacksync.com/integrations/apache-hive-and-klaviyo)
- [Apache Hive and Lusha](https://www.stacksync.com/integrations/apache-hive-and-lusha)
- [Apache Hive and Microsoft 365](https://www.stacksync.com/integrations/apache-hive-and-microsoft-365)
- [Apache Hive and Microsoft Dynamics 365](https://www.stacksync.com/integrations/apache-hive-and-microsoft-dynamics-365)
- [Apache Hive and Microsoft Teams](https://www.stacksync.com/integrations/apache-hive-and-microsoft-teams)
- [Apache Hive and Monday](https://www.stacksync.com/integrations/apache-hive-and-monday)
- [Apache Hive and Notion](https://www.stacksync.com/integrations/apache-hive-and-notion)
- [Apache Hive and Quip](https://www.stacksync.com/integrations/apache-hive-and-quip)
- [Apache Hive and SendGrid](https://www.stacksync.com/integrations/apache-hive-and-sendgrid)
- [Apache Hive and ServiceMax](https://www.stacksync.com/integrations/apache-hive-and-servicemax)
- [Apache Hive and ServiceNow](https://www.stacksync.com/integrations/apache-hive-and-servicenow)
- [Apache Hive and Slack](https://www.stacksync.com/integrations/apache-hive-and-slack)
- [Apache Hive and Smartsheet](https://www.stacksync.com/integrations/apache-hive-and-smartsheet)
- [Apache Hive and SysAid](https://www.stacksync.com/integrations/apache-hive-and-sysaid)
- [Apache Hive and Twilio](https://www.stacksync.com/integrations/apache-hive-and-twilio)
- [Apache Hive and Wrike](https://www.stacksync.com/integrations/apache-hive-and-wrike)
- [Apache Hive and Zendesk](https://www.stacksync.com/integrations/apache-hive-and-zendesk)

### Accounting and finance · 13

- [Apache Hive and Adyen](https://www.stacksync.com/integrations/adyen-and-apache-hive)
- [Apache Hive and Anaplan](https://www.stacksync.com/integrations/anaplan-and-apache-hive)
- [Apache Hive and BILL](https://www.stacksync.com/integrations/apache-hive-and-bill)
- [Apache Hive and Braintree](https://www.stacksync.com/integrations/apache-hive-and-braintree)
- [Apache Hive and Chargebee](https://www.stacksync.com/integrations/apache-hive-and-chargebee)
- [Apache Hive and Coupa](https://www.stacksync.com/integrations/apache-hive-and-coupa)
- [Apache Hive and Navan](https://www.stacksync.com/integrations/apache-hive-and-navan)
- [Apache Hive and QuickBooks](https://www.stacksync.com/integrations/apache-hive-and-quickbooks)
- [Apache Hive and Ramp](https://www.stacksync.com/integrations/apache-hive-and-ramp)
- [Apache Hive and Recurly](https://www.stacksync.com/integrations/apache-hive-and-recurly)
- [Apache Hive and Stripe](https://www.stacksync.com/integrations/apache-hive-and-stripe)
- [Apache Hive and Workday](https://www.stacksync.com/integrations/apache-hive-and-workday)
- [Apache Hive and Zuora](https://www.stacksync.com/integrations/apache-hive-and-zuora)

### AI · 4

- [Apache Hive and Autopilot](https://www.stacksync.com/integrations/apache-hive-and-autopilot)
- [Apache Hive and Azure OpenAI](https://www.stacksync.com/integrations/apache-hive-and-azure-openai)
- [Apache Hive and OpenAI](https://www.stacksync.com/integrations/apache-hive-and-openai)
- [Apache Hive and Pinecone](https://www.stacksync.com/integrations/apache-hive-and-pinecone)

### Analytics · 6

- [Apache Hive and Adobe Analytics](https://www.stacksync.com/integrations/adobeanalytics-and-apache-hive)
- [Apache Hive and Microsoft Power BI](https://www.stacksync.com/integrations/apache-hive-and-microsoft-power-bi)
- [Apache Hive and Mixpanel](https://www.stacksync.com/integrations/apache-hive-and-mixpanel)
- [Apache Hive and Pendo](https://www.stacksync.com/integrations/apache-hive-and-pendo)
- [Apache Hive and Splunk](https://www.stacksync.com/integrations/apache-hive-and-splunk)
- [Apache Hive and Tableau](https://www.stacksync.com/integrations/apache-hive-and-tableau)

### Communications · 6

- [Apache Hive and Aircall](https://www.stacksync.com/integrations/aircall-and-apache-hive)
- [Apache Hive and Amazon SES](https://www.stacksync.com/integrations/amazon-ses-and-apache-hive)
- [Apache Hive and Gmail](https://www.stacksync.com/integrations/apache-hive-and-gmail)
- [Apache Hive and Infobip](https://www.stacksync.com/integrations/apache-hive-and-infobip)
- [Apache Hive and RingCentral](https://www.stacksync.com/integrations/apache-hive-and-ringcentral)
- [Apache Hive and Zoom](https://www.stacksync.com/integrations/apache-hive-and-zoom)

### Developer tools · 9

- [Apache Hive and Azure Service Bus](https://www.stacksync.com/integrations/apache-hive-and-azure-service-bus)
- [Apache Hive and Datadog](https://www.stacksync.com/integrations/apache-hive-and-datadog)
- [Apache Hive and Jira](https://www.stacksync.com/integrations/apache-hive-and-jira)
- [Apache Hive and JMS](https://www.stacksync.com/integrations/apache-hive-and-jms)
- [Apache Hive and LDAP](https://www.stacksync.com/integrations/apache-hive-and-ldap)
- [Apache Hive and New Relic](https://www.stacksync.com/integrations/apache-hive-and-newrelic)
- [Apache Hive and Opsgenie](https://www.stacksync.com/integrations/apache-hive-and-opsgenie)
- [Apache Hive and PagerDuty](https://www.stacksync.com/integrations/apache-hive-and-pagerduty)
- [Apache Hive and RabbitMQ](https://www.stacksync.com/integrations/apache-hive-and-rabbitmq)

### E-commerce · 6

- [Apache Hive and Akeneo](https://www.stacksync.com/integrations/akeneo-and-apache-hive)
- [Apache Hive and BigCommerce](https://www.stacksync.com/integrations/apache-hive-and-bigcommerce)
- [Apache Hive and EasyPost](https://www.stacksync.com/integrations/apache-hive-and-easypost)
- [Apache Hive and Magento](https://www.stacksync.com/integrations/apache-hive-and-magento)
- [Apache Hive and Shipwire](https://www.stacksync.com/integrations/apache-hive-and-shipwire)
- [Apache Hive and Shopware](https://www.stacksync.com/integrations/apache-hive-and-shopware)

### Human resources · 12

- [Apache Hive and BambooHR](https://www.stacksync.com/integrations/apache-hive-and-bamboohr)
- [Apache Hive and Ceridian Dayforce](https://www.stacksync.com/integrations/apache-hive-and-ceridian-dayforce)
- [Apache Hive and Greenhouse](https://www.stacksync.com/integrations/apache-hive-and-greenhouse)
- [Apache Hive and Hibob](https://www.stacksync.com/integrations/apache-hive-and-hibob)
- [Apache Hive and Jobvite](https://www.stacksync.com/integrations/apache-hive-and-jobvite)
- [Apache Hive and Lever](https://www.stacksync.com/integrations/apache-hive-and-lever)
- [Apache Hive and Oracle Fusion Cloud HCM](https://www.stacksync.com/integrations/apache-hive-and-oracle-fusion-cloud-hcm)
- [Apache Hive and Paylocity](https://www.stacksync.com/integrations/apache-hive-and-paylocity)
- [Apache Hive and SmartRecruiters](https://www.stacksync.com/integrations/apache-hive-and-smartrecruiters)
- [Apache Hive and Success Factors](https://www.stacksync.com/integrations/apache-hive-and-success-factors)
- [Apache Hive and UKG Pro](https://www.stacksync.com/integrations/apache-hive-and-ukg-pro)
- [Apache Hive and UKG Ready](https://www.stacksync.com/integrations/apache-hive-and-ukg-ready)

### Marketing · 8

- [Apache Hive and Bingads](https://www.stacksync.com/integrations/apache-hive-and-bingads)
- [Apache Hive and Cvent](https://www.stacksync.com/integrations/apache-hive-and-cvent)
- [Apache Hive and Demandbase](https://www.stacksync.com/integrations/apache-hive-and-demandbase)
- [Apache Hive and Eloqua](https://www.stacksync.com/integrations/apache-hive-and-eloqua)
- [Apache Hive and Iterable](https://www.stacksync.com/integrations/apache-hive-and-iterable)
- [Apache Hive and Marketo](https://www.stacksync.com/integrations/apache-hive-and-marketo)
- [Apache Hive and Salesforce Marketing Cloud](https://www.stacksync.com/integrations/apache-hive-and-salesforce-marketing-cloud)
- [Apache Hive and Twitter Ads](https://www.stacksync.com/integrations/apache-hive-and-twitter-ads)

### Security and identity · 6

- [Apache Hive and Active Directory](https://www.stacksync.com/integrations/active-directory-and-apache-hive)
- [Apache Hive and Auth0](https://www.stacksync.com/integrations/apache-hive-and-auth0)
- [Apache Hive and Azure Active Directory](https://www.stacksync.com/integrations/apache-hive-and-azure-active-directory)
- [Apache Hive and JumpCloud](https://www.stacksync.com/integrations/apache-hive-and-jumpcloud)
- [Apache Hive and Okta](https://www.stacksync.com/integrations/apache-hive-and-okta)
- [Apache Hive and OneLogin](https://www.stacksync.com/integrations/apache-hive-and-onelogin)

### Storage · 4

- [Apache Hive and Amazon S3](https://www.stacksync.com/integrations/amazon-s3-and-apache-hive)
- [Apache Hive and Box](https://www.stacksync.com/integrations/apache-hive-and-box)
- [Apache Hive and Egnyte](https://www.stacksync.com/integrations/apache-hive-and-egnyte)
- [Apache Hive and SharePoint](https://www.stacksync.com/integrations/apache-hive-and-sharepoint)

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.

[Learn more about security](https://www.stacksync.com/security)

|  |  |
| --- | --- |
|  | 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:

[OAuth 2](https://www.stacksync.com/security) [SSH Tunnelling](https://docs.stacksync.com/two-way-sync/connectors/setup-options/ssh-tunneling) [SSL certificates](https://docs.stacksync.com/two-way-sync/connectors/postgres/authorize-postgres/amazon-rds/ensuring-secure-rds-connections-with-ssl-certificate) [IP Whitelisting](https://docs.stacksync.com/two-way-sync/connectors/setup-options/ip-whitelisting) [VPN gateway](https://docs.stacksync.com/two-way-sync/legal/service-consumption-tables#:~:text=%E2%9C%93-,VPN%20gateway,-%2D) [VPC peering](https://www.stacksync.com/security) and more

## Connect the systems your business runs on. Build your next workflow with Stacksync.

[Book a demo](https://www.stacksync.com/book-a-demo) [Get started](https://app.stacksync.com/)
