Logo
Logo
Hive Logo

Hive API Documentation

Hive provides simple automated workflow for teams. It brings all your different tools onto one dashboard and makes it easy to see progress and bottlenecks.

Developer

API Overview

Hive is a modern, cloud-native data warehousing solution designed for fast and scalable data analysis. It provides a managed service that simplifies the process of building, managing, and querying large-scale data warehouses. Hive offers a range of features, including automated data ingestion, schema management, query optimization, and integration with popular business intelligence tools. With its ease of use, high performance, and cost-effectiveness, Hive empowers businesses to unlock the full potential of their data and make informed decisions based on real-time insights. Hive API Overview: The Hive API provides a comprehensive set of RESTful endpoints for managing and interacting with Hive data and resources. The API documentation provides detailed information on all available endpoints, including their request and response formats. Hive also supports webhooks, allowing users to subscribe to events and receive notifications when specific actions occur. To ensure the stability and performance of the service, Hive implements rate limits to prevent excessive API usage. By adhering to these limits, developers can ensure that their applications interact with the Hive API in a responsible manner.

Authentication

Kerberos
SSO Supported

Rate Limits

Free Plan

100 requests per second

Standard Plan

1,000 requests per second

Enterprise Plan

Custom limits based on agreement

FAQs

Details

Provider

Country HQ

CA, USA

API Type

REST

Categories

Team Collaboration

Alternatives

Important URLs

Last Updated on

2024-04-01

Created At

2023-12-14

Screenshots

Hive Screenshot

Other Apps

Upskill for a better future

Want to start tracking API at scale?

Get updates about your favorite APIs and SDKs

Contact Us

We do our best to ensure that the data we release is complete, accurate, and useful. However, because we are not able to verify all the data, and because the processing required to make the data useful is complex, we cannot be held liable for omissions or inaccuracies.

ApiRefs Logo