Heimdall Data Climbs Google Search Rankings
Heimdall Data has been educating the market on the performance impact of data latency and the need for SQL caching. The awareness is paying off. Heimdall is now on the 1st page of Google search for "SQL caching" (see below). And the other preceding search results are...
Heimdall Data for Pivotal Greenplum
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:...
OLTP Performance from Greenplum with Heimdall Data and Postgres Integration
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...
New Release and a Long-term support build!
Today we have released build 18.4.16.1, which also marks our first LTS (Long Term Support) build. This marks an exciting transition for us, as we have been adding features at such a pace until now that we haven't been able to really contemplate being able to do...
Discussion with PostgreSQL Community Organizer Joshua “JD” Drake and Erik Brandsberg, CTO of Heimdall Data
Automated Postgres Failover and Caching, with no code changes Thursday, March 8, 2018, 10am PDT Register Now Join us next Thursday for a discussion with Postgres community leader, Joshua Drake ("JD") and Heimdall Data CTO, Erik Brandsberg on various Postgres topics...
Heimdall Data auto-caching came to our rescue
By Ka Lun Chan, CTO of Movietimes.com Performance is a major concern for any application developer and organization. Often enough, people don’t worry about it until revenue, organic traffic and session time start to dip or when they see high infrastructure costs on...
