Deploy ReadySet (Open-Source SQL Cache & Database Acceleration Tool)

ReadySet (Speed Up Queries & Scale Databases Fast) Self Host [Oct ’25]

Deploy ReadySet (Open-Source SQL Cache & Database Acceleration Tool)

Postgres

railwayapp-templates/postgres-ssl:17

Just deployed

/var/lib/postgresql/data

readyset

readysettech/readyset:latest

Just deployed

Deploy and Host Managed Readyset Service with one click on Railway

Readyset is an open-source acceleration engine designed to make your database queries lightning-fast without changing your existing code. It works as a caching layer that sits between your application and the database, automatically transforming slow queries into fast, precomputed results. Available on GitHub, Readyset is engineered for real-time applications like dashboards, APIs, and live data apps, providing low-latency query results while keeping full SQL compatibility.

About Hosting Readyset on Railway (Self Hosting Readyset on Railway)

You can self-host Readyset to retain full control over your database acceleration layer. Hosting it on Railway means you can deploy, scale, and manage Readyset easily in the cloud with zero manual server setup.

Railway makes it simple to self-host Readyset in a few clicks. You can deploy Readyset alongside your PostgreSQL or MySQL database to enjoy blazing-fast query results and improved app responsiveness. Readyset converts complex SQL queries into materialized views automatically, caching results in memory or persistent storage for ultra-fast reads.

Why Deploy Managed Readyset Service on Railway

Deploying a managed Readyset service on Railway gives you a plug-and-play performance layer for your database. You get instant setup, automatic scaling, and simplified operations, allowing you to focus on building features while Railway handles infrastructure management.

Railway vs DigitalOcean

On DigitalOcean, you need to manually configure servers, manage updates, and handle scaling for Readyset. On Railway, you can deploy Readyset in seconds with built-in scaling and zero sysadmin effort.

Railway vs Vultr

With Vultr, you’ll have to configure your caching layer, monitor performance, and manage storage manually. Railway takes care of this automatically, providing an optimized Readyset deployment environment that’s fast, secure, and reliable.

Railway vs AWS Lightsail

AWS Lightsail involves manual scaling, network management, and software patching to run Readyset efficiently. Railway abstracts all these complexities-so you can focus on leveraging Readyset’s power without worrying about backend management.

Railway vs Hetzner

Hetzner offers strong pricing and hardware options but expects you to handle server management and scaling yourself. Railway’s managed platform handles these aspects for you, ensuring your Readyset instance runs smoothly and scales automatically.

Common Use Cases

Here are 5 popular use cases for Readyset:

  1. Dashboard Performance Optimization: Readyset caches precomputed analytics results, making dashboards load instantly.

  2. Real-time APIs: Serve dynamic API responses quickly without hitting the database every time.

  3. E-commerce Applications: Accelerate product listing queries and recommendation engines.

  4. High-Traffic Web Apps: Reduce load on your database for pages that get frequent reads.

  5. Data Visualization Tools: Enable near real-time updates for charts and graphs without overloading the database.

Dependencies for Readyset hosted on Railway

To host Readyset on Railway, you’ll need:

  • A PostgreSQL or MySQL compatible database.

  • A Readyset runtime (containerized environment).

  • Environment variables for your data source connections.

Deployment Dependencies for Managed Readyset Service

A managed Readyset service includes:

  • PostgreSQL or MySQL data connection.

  • Secure caching and storage mechanisms.

  • Automated scaling and maintenance.

Implementation Details for Readyset (Database Caching Layer)

When deploying Readyset, set the following environment variables:

  • READYSET_DATABASE_URL – the URL of your main database.

  • READYSET_AUTH_TOKEN – authentication for access control.

  • READYSET_CACHE_SIZE – amount of cache memory for materialized results.

These variables allow Readyset to connect securely to your database and store precomputed query results efficiently.

How does Readyset compare with other database caching and acceleration tools?

Readyset vs Redis

While Redis acts as a general-purpose caching system, Readyset specializes in SQL-level caching. It automatically understands and materializes queries-no manual cache invalidation or query rewriting needed.

Readyset vs Materialize

Both focus on real-time data views, but Readyset offers simpler setup and better compatibility with existing databases. Materialize, while powerful, requires data ingestion pipelines, making it more complex.

Readyset vs Memcached

Memcached caches key-value data and requires developers to manage cache logic manually. Readyset, on the other hand, automates query caching with full SQL support.

Readyset vs Turso (SQLite Edge)

Turso focuses on edge data distribution, whereas Readyset targets SQL performance acceleration at scale. It’s ideal for teams using Postgres/MySQL needing instant query performance without code rewrites.

Readyset vs PlanetScale

PlanetScale enhances database scalability using Vitess, while Readyset focuses on speeding up queries by caching and precomputing results, making it ideal for reducing read latency.

How to Use Readyset?

  1. Deploy Readyset – Deploy Readyset on Railway using the one-click deploy template.

  2. Connect Database – Link your PostgreSQL or MySQL database using READYSET_DATABASE_URL.

  3. Run Application – Point your application’s read queries to Readyset.

  4. Monitor Performance – Use Readyset’s dashboard or logs to monitor query acceleration and cache efficiency.

Once connected, Readyset starts learning your query patterns and caches results for fast retrieval automatically.

How to Self Host Readyset on Other VPS Platforms

Clone the Repository

Clone the Readyset repository from GitHub: https://github.com/readysettech/readyset

Install Dependencies

Ensure your server has Docker, PostgreSQL/MySQL, and necessary network configurations.

Configure Environment Variables

Set up environment variables like:

  • READYSET_DATABASE_URL

  • READYSET_AUTH_TOKEN

  • READYSET_CACHE_SIZE

Run Readyset Container

Launch Readyset using Docker Compose or directly via Docker CLI.

Access the Dashboard

After setup, you can monitor caching performance through logs or third-party observability tools.

With Railway, you can skip all these manual steps and self-host Readyset with one click.

🚀 Deploy Now!

Features of Readyset

  • Drop-in SQL acceleration with zero code changes.

  • Automatic query materialization for precomputed results.

  • Compatible with PostgreSQL and MySQL.

  • Scales automatically with query load.

  • Reduces database load by 10x on read-heavy workloads.

  • Simple to deploy using Railway’s one-click setup.

Official Pricing of Readyset Cloud Service

Readyset’s open-source version is free to use. However, managed cloud versions (currently in beta) may charge based on usage or performance tiers. Typical costs range around $20–$50/month for small-scale projects with real-time acceleration features, depending on hosting providers.

[Updated Oct’25]

Self Hosting Readyset vs Paid Plans

Self-hosting Readyset is completely free, with the flexibility to configure your caching capacity and scaling. Paid versions or managed services often include additional monitoring tools, automated upgrades, and support.

Monthly Cost of Self Hosting Readyset on Railway

Self-hosting Readyset on Railway typically costs $5–$10/month for the base app instance, plus optional charges for connected databases. Even at scale, it remains far cheaper and simpler than most other managed database acceleration tools.

System Requirements for Hosting Readyset

  • CPU: 2+ cores

  • Memory: 2GB minimum (4GB recommended)

  • Database: PostgreSQL or MySQL connection

  • Storage: Minimum 5GB free space

  • Runtime: Docker or compatible container environment

FAQs

What is Readyset?

Readyset is an open-source caching layer for SQL databases that speeds up query performance by automatically materializing results.

How does Readyset work?

Readyset intercepts SQL queries, creates materialized views of commonly used queries, and serves them instantly, reducing latency and database load.

Is Readyset compatible with PostgreSQL?

Yes, Readyset is fully compatible with PostgreSQL and MySQL databases.

How do I deploy Readyset on Railway?

Click the Deploy Now button, set environment variables like READYSET_DATABASE_URL, and Railway handles the rest-deployment, scaling, and management.

What are Readyset’s system requirements?

Readyset needs a minimum of 2 CPU cores and 2GB RAM for small workloads, and connects to PostgreSQL/MySQL as the backend.

Is Readyset better than Redis for caching?

Redis is general-purpose, while Readyset is SQL-aware and automatically caches query results without manual code changes.

How much does it cost to host Readyset on Railway?

Hosting Readyset on Railway typically costs $5–$10 per month for a small instance, depending on your chosen Railway plan.

Can I self-host Readyset?

Yes, you can self-host Readyset using Docker or easily deploy it on Railway for managed scalability and maintenance.

Is Readyset open-source?

Yes, Readyset is completely open-source and available on GitHub for developers to use, customize, and contribute.

Why use Readyset on Railway instead of VPS providers?

Railway automates setup, scaling, and security-so you can deploy Readyset in one click, unlike VPS providers that require manual configurations.


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