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Heimdall Data

The Database Proxy for SQL Performance at Scale.

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Overview

Heimdall Data offers a database proxy that intelligently manages SQL traffic to improve performance and reliability. It requires no application changes and provides features like automated query caching, which invalidates based on data changes, read/write splitting, and connection pooling. It supports a wide range of SQL databases, including PostgreSQL, MySQL, and SQL Server.

✨ Key Features

  • Automated, policy-based SQL Caching
  • Read/Write Splitting
  • Connection Pooling and Multiplexing
  • SQL Analytics and Performance Monitoring
  • Supports PostgreSQL, MySQL, SQL Server, and more

🎯 Key Differentiators

  • Advanced, automated query caching with invalidation
  • Detailed SQL analytics
  • Broad support for various SQL databases

Unique Value: Provides significant performance improvements for SQL databases through its intelligent, automated caching, which goes beyond simple connection pooling.

🎯 Use Cases (3)

Improving database performance without code changes Scaling read-heavy applications Analyzing and troubleshooting slow SQL queries

✅ Best For

  • Dramatically reducing database load by caching repetitive queries
  • Offloading read traffic to replicas automatically

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Users looking for a simple, free connection pooler
  • Non-SQL databases

🏆 Alternatives

ScaleArc ProxySQL

Its key strength is the sophistication of its caching engine, which is more advanced than the caching features in many other proxies.

💻 Platforms

Desktop

✅ Offline Mode Available

🔌 Integrations

PostgreSQL MySQL Microsoft SQL Server Amazon RDS Google Cloud SQL Azure SQL

🛟 Support Options

  • ✓ Email Support
  • ✓ Live Chat
  • ✓ Phone Support
  • ✓ Dedicated Support (Enterprise tier)

💰 Pricing

Contact for pricing

✓ 30-day free trial

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