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Tigris Data

Provides globally distributed, S3-compatible object storage that ensures low-latency data access by automatically storing objects close to users. Eliminates egress fees and supports high-speed retrieval of small objects, making it ideal for multi-cloud AI workloads and applications requiring seamless data accessibility.

Sunnyvale, United StatesFounded 2021161K+ followers
Updated 20 months ago

Funding

$39.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

JI
Funding rounds are not available yet.

Founders

Product

Problem

Traditional object storage solutions often suffer from high latency due to geographical distance between data centers and end-users, hindering performance for globally distributed applications and AI workloads. Additionally, many providers impose egress fees, creating unpredictable costs and restricting seamless data access.

Solution

Tigris provides globally distributed, S3-compatible object storage that automatically places data close to users, ensuring low-latency access from anywhere in the world. The platform leverages a familiar AWS S3 API, enabling seamless integration with existing applications and workflows. Tigris optimizes small object retrieval speeds, approaching Redis-like performance, and eliminates egress fees, providing transparent and unrestricted data access. By storing data in the region where initial requests are made and intelligently distributing it based on access patterns, Tigris ensures optimal performance and cost-effectiveness for multi-cloud AI workloads and applications requiring seamless data accessibility.

Target Audience

Tigris is designed for developers and organizations building globally distributed applications, multi-cloud AI workloads, and any application requiring low-latency, S3-compatible object storage.

Features

  • Globally distributed architecture that automatically stores data close to users for low latency
  • S3-compatible API for seamless integration with existing AWS S3 SDKs, tools, and libraries
  • Fast small object retrieval, optimized for applications requiring quick access to numerous small files
  • Zero egress fees, eliminating unpredictable costs associated with data retrieval
  • Shadow bucket migration, enabling transparent data migration from existing S3-compatible storage without downtime
  • Support for multi-cloud AI workloads, providing a unified storage solution across different cloud environments
  • Automatic data distribution based on access patterns, optimizing performance and reducing latency
This profile is AI-generated and may contain inaccuracies.