by Erik Bransberg | Apr 11, 2019 | Performance, Web Scale
Application developers must balance time between coding features and improving performance and scalability. Most believe that focusing on functionality and features is the priority, but features and application response times go hand-in-hand. Slow performance can...
by heimdalladmin | Oct 25, 2018 | Performance, Web Scale
Movietimes.com chose Heimdall Data with Amazon Aurora to improve performance without any code changes. In this blog, you will learn how this joint AWS solution was used to increase scale while reducing engineering costs. This blog was written by KC Chan, CTO at...
by heimdalladmin | Oct 25, 2018 | Performance, Web Scale
CyberAuctions is an online industrial auction marketplace hosted on AWS. They chose Heimdall Data with Amazon Aurora for MySQL for their ease of deployment for improved scalability. In this blog, you will learn how this joint AWS solution met the dynamic traffic...
by heimdalladmin | Oct 25, 2018 | Performance, Web Scale
Questis is a configurable technology platform that allows financial intermediaries to deliver effective, white-labeled financial wellness programs to their clients. Questis chose Heimdall Data with Amazon Aurora for Postgres because of its ease of scalability and...
by Roland Lee | May 25, 2018 | HA Failover, Performance
Why Heimdall Data for Pivotal Data? As a transparent Database Proxy, Heimdall manages the interaction of Pivotal Greenplum and GemFire, all without code changes. Notable benefits include: Zero downtime: Automated Write Master failover Improved Performance:...
by Erik Bransberg | May 3, 2018 | Performance
Problem When working with massive amounts of data, an MPP (massively parallel processing) architecture allows many compute nodes to process segments of the data individually before aggregating the results together. However, interactive applications have lower latency...
