Improve performance at a reduced cost
October 14, 2019

Improve performance at a reduced cost

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Redis

We use Redis in our back end messaging platform for database, cache synchronization functions. Redis is being used throughout our entire organization and is the basis for our EMR messaging platform.
  • Great fail over capabilities for optimal up time
  • Very easy to set up and get running
  • Create backups to AWS S3
  • Clustering for greater performance is very easy
  • Able to scale is easy to set up and can build with your needs
  • Complete data sets tend to have some difficulty. But that's mostly on the type of code you're running
  • Only one module can be active at one time. Wish you could run multiple
  • The ROI on Redis has been great. We were able to cut our infrastructure costs by 25%.
  • Scalability is one of the key benefits of Redis.
  • Increased performance at a lower cost is a huge benefit.
Yes - We replaced all of our Microsoft SQL servers that we had on-prem and in the cloud. This greatly reduced costs and increased reliability.
  • Price
  • Product Features
  • Product Usability
  • Product Reputation
  • Prior Experience with the Product
  • Vendor Reputation
  • Third-party Reviews
There are few that are extremely important to us. We are a smaller company and cost is one of the key factors that we take into effect.
Microsoft SQL requires a lot of resources to run at its optimal performance level. Redis runs faster search queries at a reduced cost.
Redis is great for any organization that requires data-intensive tasks that quire records or require large sets of data. Redis has greatly improved our messaging EMR performance at reduced costs compared to if we built our own solutions. If you require fast response speeds then Redis is your provider. Great for back end data base processing.

Redis™* Feature Ratings

Performance
10
Availability
10
Concurrency
10
Security
9
Scalability
10
Data model flexibility
9
Deployment model flexibility
10