What users are saying about
393 Ratings
214 Ratings
393 Ratings
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Score 8.6 out of 100
214 Ratings
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Score 9.1 out of 100

Feature Set Ratings

  • Redis™* ranks higher in 1 feature set: NoSQL Databases

NoSQL Databases

9.0

MongoDB

90%
9.2

Redis™*

92%
Redis™* ranks higher in 4/7 features

Performance

9.1
91%
38 Ratings
10.0
100%
69 Ratings

Availability

9.4
94%
38 Ratings
9.0
90%
69 Ratings

Concurrency

8.3
83%
38 Ratings
9.0
90%
68 Ratings

Security

8.6
86%
38 Ratings
8.0
80%
63 Ratings

Scalability

9.5
95%
38 Ratings
9.2
92%
69 Ratings

Data model flexibility

9.0
90%
38 Ratings
9.9
99%
62 Ratings

Deployment model flexibility

9.1
91%
37 Ratings
9.4
94%
62 Ratings

Attribute Ratings

  • MongoDB is rated higher in 4 areas: Likelihood to Renew, Usability, Support Rating, Implementation Rating
  • Redis™* is rated higher in 1 area: Likelihood to Recommend

Likelihood to Recommend

9.2

MongoDB

92%
78 Ratings
9.3

Redis™*

93%
76 Ratings

Likelihood to Renew

9.9

MongoDB

99%
67 Ratings
8.7

Redis™*

87%
12 Ratings

Usability

8.9

MongoDB

89%
14 Ratings
8.4

Redis™*

84%
5 Ratings

Availability

9.0

MongoDB

90%
2 Ratings

Redis™*

N/A
0 Ratings

Support Rating

9.5

MongoDB

95%
15 Ratings
8.7

Redis™*

87%
7 Ratings

Implementation Rating

8.4

MongoDB

84%
4 Ratings
7.3

Redis™*

73%
2 Ratings

Likelihood to Recommend

MongoDB

If asked by a colleague I would highly recommend MongoDB. MongoDB provides incredible flexibility and is quick and easy to set up. It also provides extensive documentation which is very useful for someone new to the tool. Though I've used it for years and still referenced the docs often. From my experience and the use cases I've worked on, I'd suggest using it anywhere that needs a fast, efficient storage space for non-relational data. If a relational database is needed then another tool would be more apt.
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Redis Labs

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.
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Pros

MongoDB

  • Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
  • You can install a local, database-based environment rather than the non-relational real-time bases such a firebase does not allow, the local environment is paramount since you can work without relying on the internet.
  • Forming collections in Mango is relatively simple, you do not need to know of query to work with it, since it has a simple graphic environment that allows you to manage databases for those who are not experts in console management.
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Redis Labs

  • 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

MongoDB

  • An aggregate pipeline can be a bit overwhelming as a newcomer.
  • There's still no real concept of joins with references/foreign keys, although the aggregate framework has a feature that is close.
  • Database management/dev ops can still be time-consuming if rolling your own deployments. (Thankfully there are plenty of providers like Compose or even MongoDB's own Atlas that helps take care of the nitty-gritty.
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Redis Labs

  • 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.
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Pricing Details

MongoDB

Starting Price

$0.1 million reads

Editions & Modules

MongoDB editions and modules pricing
EditionModules
Shared$01
Serverless$0.10million reads2
Dedicated$573

Footnotes

  1. per month
  2. million reads
  3. per month

Offerings

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services

Entry-level set up fee?

No setup fee

Additional Details

Fully managed, global cloud database on AWS, Azure, and GCP

Redis™*

Starting Price

$388 per month

Editions & Modules

Redis™* editions and modules pricing
EditionModules
Cloud$388.001

Footnotes

  1. per month

Offerings

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services

Entry-level set up fee?

Optional

Additional Details

Likelihood to Renew

MongoDB

I am looking forward to increasing our SaaS subscriptions such that I get to experience global replica sets, working in reads from secondaries, and what not. Can't wait to be able to exploit some of the power that the "Big Boys" use MongoDB for.
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Redis Labs

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

MongoDB

NoSQL database systems such as MongoDB lack graphical interfaces by default and therefore to improve usability it is necessary to install third-party applications to see more visually the schemas and stored documents. In addition, these tools also allow us to visualize the commands to be executed for each operation.
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Redis Labs

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

MongoDB

Finding support from local companies can be difficult. There were times when the local company could not find a solution and we reached a solution by getting support globally. If a good local company is found, it will overcome all your problems with its global support.
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Redis Labs

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

MongoDB

While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.
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Redis Labs

Whitelisting of the AWS lambda functions.
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Alternatives Considered

MongoDB

We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your data set grows. For analytics, MongoDB provides a custom map/reduce implementation; Cassandra provides native Hadoop support.
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Redis Labs

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.
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Return on Investment

MongoDB

  • Open Source w/ reasonable support costs have a direct, positive impact on the ROI (we moved away from large, monolithic, locked in licensing models)
  • You do have to balance the necessary level of HA & DR with the number of servers required to scale up and scale out. Servers cost money - so DR & HR doesn't come for free (even though it's built into the architecture of MongoDB
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Redis Labs

  • 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.
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Screenshots

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