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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...

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

We are thrilled to introduce the latest release, version 1.0.14, which focuses primarily on enhancing usability features. Our team has put in a lot of effort to make this release a game-changer for our users. Here’s a rundown of the exciting updates: New Generic...

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...

Release 1.0.13

It has been a while since I posted about our newest releases, so I’ll summarize some of the major changes here: Full Postgres and MySQL proxy support, including prepared procedure support; Optimized caching for the PG and MySQL proxy, storing the data in a...