PolyScale.ai | Serverless Database Edge Cache

Maximize Performance.
Minimize Costs.

PolyScale is an AI-driven, distributed cache for Postgres, MySQL, MariaDB, MS SQL and MongoDB. Using smart caching, it reduces database load, improves query performance and lowers network latency both on premise and at the edge.

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AI-driven Database Cache

Jason Cox

CEO – PodRoll

PolyScale allowed us to scale out globally with low latency, and all we had to do was change our database connection string. It's rare to see a product that can solve such a complex problem with a truly simple solution.

PostgreSQL

MariaDB

SQL Server

MySQL

GraphQL

MongoDB

How it works

1

Your Client Applications

Query Source
iconWeb Applications
iconServerless Functions
iconAny database client applications
1. Update your data driven apps to connect to PolyScale.
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2

PolyScale

Data Delivery Network
map
cloud-providercloud-providercloud-providercloud-provider

On-Premise & Private Cloud
cloud-providercloud-provider
2. PolyScale automatically and intelligently caches or invalidates data close to where it is being requested.
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3

Your Data Sources

Origin

PostgreSQL

MariaDB

SQL Server

MySQL

GraphQL

MongoDB

3. No changes needed to your current database.
Niall Quinn
Managing Director, BaseLang

"We set out to improve the performance of our database during our peak booking period. Before PolyScale we had to size our database for the largest spikes in usage. Being serverless means we only pay for the capacity we are using."

Read the Case Study

Latest news and coverage

Latest blog articles, media coverage and industry articles.

News & Announcements

Announcing Connection Pooling for Postgres Databases

Jan 11 2024
Find out more on the PolyScale blog

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