Heimdall Proxy Standard Edition
Heimdall Data | 24.09.06.1Linux/Unix, Amazon Linux 2 - 64-bit Amazon Machine Image (AMI)
Easy to get started with good performance
We implemented Heimdall primarily as a caching layer in front of both a standard PostgreSQL datastore as well as an Apache HAWQ datastore. It was very easy to get set up and get started. It was reasonably well integrated with AWS which made the initial configuration much easier. This was a very easy way for us to get started testing Heimdall on something more than a local database.
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Heimdall Data Delivers Real Performance
Cyberauctions.com installed the Heimdall Data Distributed Caching system to it AWS system. We use AWS application load balancer for our EC2 Instances, 3 Aurora MySql databases of which 2 are read only with auto scaling. Heimdall Data's reporting system provided insights in how we could optimize our SQL scripts. This alone made the product very useful. Heimdall Data utilizes Elastic Cache for Redis as part of their caching grid. The best part was we didn't have to do any code changes to our application to take advantage of this caching system. We just turn on the Auto Tune feature and let it work. We are an online auction company and this caching system has improved our web site response rate during a load on average 27 percent on up to 46 percent. They support their product and are there to help you take full advantage of their caching solution.