Likelihood to Recommend Real-time transaction processing (both reads and writes) is where DataStax Enterprise shines. It's very fast with linear scalability should more resources be needed. Additional nodes are added very easily. DataStax Enterprise on its own (without Solr or Spark enabled) isn't well suited for long complicated reports. The data model doesn't support joining multiple tables together which is common in BI reporting.
Read full review Redis has been a great investment for our organization as we needed a solution for high speed data caching. The ramp up and integration was quite easy. Redis handles automatic failover internally, so no crashes provides high availability. On the fly scaling scale to more/less cores and memory as and when needed.
Read full review Pros Datastax Cassandra provides high availability and good performance for a database. It is built on top of open source Apache Cassandra so you can always somewhat understand the internal functioning and why. Datastax Cassandra is fairly simple to start using, you can install/setup your cluster and be productive in 1 day. Datastax Cassandra provides a lot of good detailed documentation, and when starting, the detailed free videos on the Datastax site and documentation are very helpful. Datastax Enterprise Edition of Cassandra provides more tools, good support, and quick response SLA for enterprise business support. Read full review Easy for developers to understand. Unlike Riak, which I've used in the past, it's fast without having to worry about eventual consistency. Reliable. With a proper multi-node configuration, it can handle failover instantly. Configurable. We primarily still use Memcache for caching but one of the teams uses Redis for both long-term storage and temporary expiry keys without taking on another external dependency. Fast. We process tens of thousands of RPS and it doesn't skip a beat. Read full review Cons Cassandra is a bit difficult to learn and understand The costs are slightly higher for our company Hardware requirement is moderate to high at the beginning Read full review We had some difficulty scaling Redis without it becoming prohibitively expensive. Redis has very simple search capabilities, which means its not suitable for all use cases. Redis doesn't have good native support for storing data in object form and many libraries built over it return data as a string, meaning you need build your own serialization layer over it. Read full review Likelihood to Renew We will continue to use it because it scales well with commodity hardware and we are satisfied with the documentation and support.
Read full review We will definitely continue using Redis because: 1. It is free and open source. 2. We already use it in so many applications, it will be hard for us to let go. 3. There isn't another competitive product that we know of that gives a better performance. 4. We never had any major issues with Redis, so no point turning our backs.
Read full review Usability There is a bit of a learning curve and tasks that are simple in traditional RDBMS systems can be complicated with DataStax Enterprise but once you get the hang of denormalizing data and getting the data model correct DataStax Enterprise is very usable. Usability from the developer's standpoint is very simple - the complication is on the architecture side with the data model.
Read full review It is quite simple to set up for the purpose of managing user sessions in the backend. It can be easily integrated with other products or technologies, such as Spring in Java. If you need to actually display the data stored in Redis in your application this is a bit difficult to understand initially but is possible.
Read full review Support Rating DataStax has the best community. They have instant customer support to solve problems and are knowledgeable of the problems faced by the customer. The documentation is pretty top-notch.
Read full review The support team has always been excellent in handling our mostly questions, rarely problems. They are responsive, find the solution and get us moving forward again. I have never had to escalate a case with them. They have always solved our problems in a very timely manner. I highly commend the support team.
Gene Baker Vice President, Chief Architect, Development Manager and Software Engineer
Read full review Implementation Rating Whitelisting of the AWS lambda functions.
Read full review Alternatives Considered DataStax Enterprise offered best-in-class write performance and scalability. The customer support team was very helpful in the adoption of new technology.
Read full review We are big users of
MySQL and
PostgreSQL . We were looking at replacing our aging web page caching technology and found that we could do it in SQL, but there was a NoSQL movement happening at the time. We dabbled a bit in the NoSQL scene just to get an idea of what it was about and whether it was for us. We tried a bunch, but I can only seem to remember Mongo and Couch. Mongo had big issues early on that drove us to Redis and we couldn't quite figure out how to deploy couch.
Read full review Return on Investment Highly Scalable Database, Highly Available Services, and Platforms. High Performance, Low Latency and Highest throughput across varying workloads. Configured, Tuned and Monitored correctly works to provide the best user experience! Negative: Maintenance and Debugging Corner Cases Read full review Redis has helped us increase our throughput and server data to a growing amount of traffic while keeping our app fast. We couldn't have grown without the ability to easily cache data that Redis provides. Redis has helped us decrease the load on our database. By being able to scale up and cache important data, we reduce the load on our database reducing costs and infra issues. Running a Redis node on something like AWS can be costly, but it is often a requirement for scaling a company. If you need data quickly and your business is already a positive ROI, Redis is worth the investment. Read full review ScreenShots