Improve application performance 5x with Automated Caching



Tired of spending months getting your caching right?

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SQL Optimization for your Existing Database

Intelligent SQL Caching

  • Auto-caches into your storage
  • Transparently caches into Amazon Elasticache, Redis, or Hazelcast
  • Auto-invalidation across cache clusters: No more stale data
  • For multiple applications servers accessing a database
  • Custom or packaged apps (e.g. WordPress, Jira, Web apps)

Automated DB Failover

  • Disaster recovery within data centers or geographical regions
  • Today’s failover solutions (e.g. F5 Networks, AWS ELB) result in connection timeouts. 
  • Horizontally scale-out the database without rewriting the application.
  • SQL sharding to data sources.
  • Supports MySQL, SQL Server, Postgres, Amazon RDS, Oracle, DB2
How does it work?

Heimdall Data’s granular SQL analytics helped us identify database inefficiencies and resolve them in a timely manner. The solution was quick to insert into our production environment.

Anthony Galano

Lead Developer,

“Amazon RDS is the most expensive line item in our infrastructure. We reduced our database costs by over 50% with Heimdall Data’s analytics and caching.”

Ka Chan


“Heimdall Data’s SQL caching software was easy to install and provided an immediate increase in performance. But their analytic tools gave us insight what was really happening with our queries allowing us to optimize our code. Once optimized, not only was the raw SQL faster but the number of cache hits increased giving us even more performance. If you are serious about performance, you need to start with Heimdall.”

Paul Nerger

Sr. Vice President,

Heimdall Data’s SQL analytics helped us identify database inefficiencies and resolve them. The all-in-one solution saves us months of development time and operational costs.

Aaron Hayes

Technical Operation Manager, Double Fine Productions


Heimdall Data is your “DBA Assistant” offering:

  • SQL auto-caching across application servers removing latency to the database
  • Auto-synchronization across cache nodes
  • Policy-driven horizontal database scale-out
  • No disruption to your existing application or database 
  • Database vendor-neutral (e.g. MySQL, Postgres, Amazon RDS, Oracle, SQL Server, MariaDB)