Azure Cosmos DB vs. Redis Software

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Cosmos DB
Score 6.9 out of 10
N/A
Microsoft Azure Cosmos DB is Microsoft's Big Data analysis platform. It is a NoSQL database service and is a replacement for the earlier DocumentDB NoSQL database.N/A
Redis Software
Score 8.4 out of 10
N/A
Redis is an open source in-memory data structure server and NoSQL database.N/A
Pricing
Azure Cosmos DBRedis Software
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure Cosmos DBRedis Software
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
Azure Cosmos DBRedis Software
Features
Azure Cosmos DBRedis Software
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Azure Cosmos DB
9.9
Ratings
11% above category average
Redis Software
8.6
Ratings
3% below category average
Performance10.00 Ratings9.00 Ratings
Availability10.00 Ratings7.00 Ratings
Concurrency10.00 Ratings9.00 Ratings
Security10.00 Ratings8.00 Ratings
Scalability10.00 Ratings9.00 Ratings
Data model flexibility9.00 Ratings9.00 Ratings
Deployment model flexibility10.00 Ratings9.00 Ratings
User Ratings
Azure Cosmos DBRedis Software
Likelihood to Recommend
10.0
(0 ratings)
8.0
(0 ratings)
Likelihood to Renew
7.6
(0 ratings)
8.7
(0 ratings)
Usability
8.8
(0 ratings)
9.0
(0 ratings)
Support Rating
9.2
(0 ratings)
8.7
(0 ratings)
Implementation Rating
-
(0 ratings)
7.3
(0 ratings)
User Testimonials
Azure Cosmos DBRedis Software
Likelihood to Recommend
NoSQL platforms are very useful when it comes to security, speed, accuracy, high accessibility with high read and write power. Everything is managed under the cloud and we have the various capabilities of Azure and support for Microsoft products with us. Flexibility in price and variety of features, as well as real-time results, are some of the popular [features] of this platform.
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Perfect solution for caching needs. If you have a bottleneck due to frequent data access to your database, then Redis can really help you by diverting those traffic away from your database. Its key/value pair structure also makes data lookup very efficient, providing excellent performance.
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Pros
  • Turn-key geo-redundancy with multi-master writes is unprecedented and unparalleled in the industry!
  • Guaranteed low latency makes Cosmos DB an excellent fit for most of our performance-intensive situations.
  • The tunable consistency model simplifies so many challenges in distributed systems engineering that otherwise require advanced knowledge of computer science topics. I continue to be impressed at how Cosmos DB has abstracted away so much complexity.
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  • 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.
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Cons
  • When searching by default, it is case sensitive, which must be changed by default
  • In many ways, the price should be more flexible according to the requested facilities, because the price is very expensive for startup companies.
  • It is not fully compatible with most common Streaming Analytics tools applications and developers should be worked on it
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  • Redis is super fast but it comes with a cost. Whole dataset resides in RAM. So it can be costly as primary memory is more costly, then secondary ones.
  • Persistence issues: To achieve it, Redis uses a memory dump to create a persistence snapshot, that's cool. But it requires some Linux Kernel tweaking to avoid performance degradation while the Redis server process is forking. This further causes latency.
  • Master-slave structure side effect: Master-slave architecture comes with its own side effects. Please note that there will be only one master with multiple slaves for replication. All writing goes to the master, which creates more load on the master node. So, when the master goes down, the whole architecture does.
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Likelihood to Renew
It's efficient, easy to scale, and works. We do have to do a bit of administration, but less now than when we started with this a couple of years ago. Microsoft continues to improve its self-management capability.
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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.
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Usability
Like I said, Cosmos is the way to go. From all of the services that Azure has, Cosmos is very robust in terms of usability. It's ever-evolving and integrates with other applications seamlessly. The interface is pretty easy to understand. I implemented various solutions for my company and Cosmos was one of them.
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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.
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Support Rating
The support team is very responsive and we are generally satisfied with Microsoft support, in my opinion support team of a product and service is just as valuable as its quality and performance. Telephone answering, 24-hour hotline, email support and ticketing are excellent.
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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.
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Implementation Rating
No answers on this topic
Whitelisting of the AWS lambda functions.
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Alternatives Considered
Azure Cosmos DB for MongoDB is more affordable than many other solutions and works incredibly well if you're within the Azure ecosystem.
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UI isn't that great compared to the other competitors. The management of our memcached cluster was becoming pretty complicated as the application grew in size. Redis is a much better option compared to memcached. Redis is bit unreliable compared to the alternative RabbitMQ especially when it needs to be integrated with Celery.
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Return on Investment
  • Expensive but works if your infra is on Azure data center.
  • No latency and nearly no downtime.
  • Takes time for end users to adapt.
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  • Existing tools like Redisson that were built over Redis reduced dev time in solving challenging problems, which had a positive impact on ROI.
  • We initially misused Redis for persistent storage which had a negative impact on ROI because we were paying a lot for inactive users.
  • The increased performance we achieved using Redis in areas like locking helped us improve the performance of our system reducing the likelihood of system timeouts.
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ScreenShots

Redis Software Screenshots

Screenshot of Database configurationScreenshot of Database metricsScreenshot of DatabasesScreenshot of NodesScreenshot of Alerts