Heimdall Data in Microsoft Azure

Heimdall Data is pleased to announce availability in the Microsoft Azure Marketplace. All Heimdall SQL Optimization features can now be deployed in the Azure cloud. Below are the Feature Edition offerings: Heimdall Data Developer Edition (Non-production use) Fully...

Database Scaling with Read/Write Split

Scaling databases today can take two approaches. The first and simplest is vertical scaling which relies on larger database servers to process more requests in parallel.  While simple to implement, this approach eventually reaches a limit, either due to disk or...

Heimdall Data Auto-Caching with No Code Changes

“There are only two hard things in Computer Science: cache invalidation and naming things.” ~Phil Karlton Caching is complex and engineering intensive. Because it requires manual configuration (i.e. What to cache and invalidate), managing cache systems have been...

Release 1.0.15

A new release was posted today, 1.0.15, which resolves a few bugs found by users, as well as improves overall usability.  It can be downloaded from: Download –...

New release-1.0.14

I am pleased to announce the availability of release 1.0.14, which has primarily been focused on usability features.  In it, we have a new, generic configuration wizard, which should make initial configuration much easier.  Improvements in logging should make it...

Query Cache will no longer be supported in MySQL 8.0

Recently it was announced that in MySQL 8.0, query caching would no longer be supported. This was due to lack of scale and performance for high-throughput workloads. Heimdall Data is a performance optimization platform that addresses these limitations. We offer a...

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