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Firebolt API Documentation

Firebolt is a complete redesign of the cloud data warehouse for the era of cloud and data lakes. Data warehousing with extreme speed & elasticity at scale.

Developer

API Overview

Firebolt is a cloud-based data warehousing solution designed for fast and efficient data analysis. It leverages a massively parallel processing architecture optimized for data-intensive workloads. Firebolt's columnar storage format and vectorized execution engine enable lightning-fast query performance, making it ideal for large-scale data analytics, business intelligence, and machine learning applications. Additionally, Firebolt offers seamless integration with popular data sources, such as cloud storage, databases, and streaming platforms, simplifying data ingestion and analysis pipelines. Firebolt's API overview provides comprehensive documentation and resources for developers to integrate with the service. The REST APIs allow programmatic access to Firebolt's core functionality, including data management, query execution, and administration. Webhooks facilitate real-time notifications for events such as query completion or data updates. To ensure optimal performance and prevent abuse, Firebolt implements rate limits on API requests. Detailed documentation, code samples, and tutorials are available to guide developers through the API integration process, enabling them to leverage Firebolt's capabilities effectively in their applications and workflows.

Authentication

Token-based Authentication (TBA)
SSO Supported

Rate Limits

Free

100 requests per second

Starter

1,000 requests per second

Business

5,000 requests per second

Enterprise

10,000 requests per second

FAQs

Details

Provider

Country HQ

US

API Type

REST

Categories

Data Warehouses

Alternatives

Important URLs

Last Updated on

2024-03-27

Created At

2023-12-14

Screenshots

Firebolt Screenshot

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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.

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