What users are saying about
390 Ratings
Top Rated
199 Ratings
390 Ratings
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Score 8.6 out of 100
Top Rated
199 Ratings
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Score 8.8 out of 100

Feature Set Ratings

    NoSQL Databases

    9.0

    MongoDB

    90%

    Snowflake

    Feature Set Not Supported
    N/A
    MongoDB ranks higher in 7/7 features

    Performance

    9.0
    90%
    38 Ratings
    N/A
    0 Ratings

    Availability

    9.4
    94%
    38 Ratings
    N/A
    0 Ratings

    Concurrency

    8.3
    83%
    38 Ratings
    N/A
    0 Ratings

    Security

    8.6
    86%
    38 Ratings
    N/A
    0 Ratings

    Scalability

    9.5
    95%
    38 Ratings
    N/A
    0 Ratings

    Data model flexibility

    8.9
    89%
    38 Ratings
    N/A
    0 Ratings

    Deployment model flexibility

    9.1
    91%
    37 Ratings
    N/A
    0 Ratings

    Attribute Ratings

    • MongoDB is rated higher in 4 areas: Likelihood to Recommend, Likelihood to Renew, Usability, Support Rating

    Likelihood to Recommend

    9.2

    MongoDB

    92%
    78 Ratings
    8.8

    Snowflake

    88%
    33 Ratings

    Likelihood to Renew

    9.9

    MongoDB

    99%
    67 Ratings
    8.0

    Snowflake

    80%
    1 Rating

    Usability

    8.9

    MongoDB

    89%
    14 Ratings
    8.5

    Snowflake

    85%
    13 Ratings

    Availability

    9.0

    MongoDB

    90%
    2 Ratings

    Snowflake

    N/A
    0 Ratings

    Support Rating

    9.4

    MongoDB

    94%
    15 Ratings
    7.2

    Snowflake

    72%
    12 Ratings

    Implementation Rating

    8.4

    MongoDB

    84%
    4 Ratings

    Snowflake

    N/A
    0 Ratings

    Contract Terms and Pricing Model

    MongoDB

    N/A
    0 Ratings
    8.0

    Snowflake

    80%
    1 Rating

    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.
    Kendal Droddy | TrustRadius Reviewer

    Snowflake

    For an organization that has small, medium, or large data collection, Snowflake provides the best infrastructure to store, manage, utilize and analyze the data. Especially for companies that are growing at a really fast pace, it helps you not only with warehouse capabilities but also its connection with several BI tools give you the flexibility and option to connect and analyze the data [in] real time.
    Rounak Verma | TrustRadius Reviewer

    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.
    Ronald Melendez | TrustRadius Reviewer

    Snowflake

    • This is a cloud-based application that provides me a secure platform for the easy sharing of data with my clients.
    • I feel confident to connect with my numerous business partners just because of its advanced security and effective programming.
    • Through this tool, I am capable of integrating, analyzing, and the entire data in a precise form and with analytics as well, due to which I always have a transparent idea about the data extraction and its transfer from multiple clouds.
    Darren Mihalic | TrustRadius Reviewer

    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.
    Joshua Weaver | TrustRadius Reviewer

    Snowflake

    • Snowflake UI can be clunky and breaks sometimes, which can be annoying
    • Snowflake has to be paired with the Data Build Tool (DBT) to allow for templating and macro usage. No inbuilt solution.
    • Snowflake Python connector development doesn't necessarily track popular packages such as Pandas as quickly as Pandas releases
    • Could do with better machine learning capability over warehouse tables, but I assume this is coming soon
    Anonymous | TrustRadius Reviewer

    Pricing Details

    MongoDB

    General

    Free Trial
    Yes
    Free/Freemium Version
    Yes
    Premium Consulting/Integration Services
    Entry-level set up fee?
    No

    Starting Price

    $0.1 million reads

    MongoDB Editions & Modules

    Edition
    Shared$01
    Serverless$0.10million reads2
    Dedicated$573
    1. per month
    2. million reads
    3. per month
    Additional Pricing Details
    Fully managed, global cloud database on AWS, Azure, and GCP

    Snowflake

    General

    Free Trial
    Yes
    Free/Freemium Version
    Premium Consulting/Integration Services
    Entry-level set up fee?
    No

    Starting Price

    Snowflake Editions & Modules

    Additional Pricing Details

    Likelihood to Renew

    MongoDB

    MongoDB 9.9
    Based on 67 answers
    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.
    Jon Kern | TrustRadius Reviewer

    Snowflake

    Snowflake 8.0
    Based on 1 answer
    SnowFlake is very cost effective and we also like the fact we can stop, start and spin up additional processing engines as we need to. We also like the fact that it's easy to connect our SQL IDEs to Snowflake and write our queries in the environment that we are used to
    Anonymous | TrustRadius Reviewer

    Usability

    MongoDB

    MongoDB 8.9
    Based on 14 answers
    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.
    Jose Manuel Ortega | TrustRadius Reviewer

    Snowflake

    Snowflake 8.5
    Based on 13 answers
    The interface is similar to other SQL query systems I've used and is fairly easy to use. My only complaint is the syntax issues. Another thing is that the error messages are not always the easiest thing to understand, especially when you incorporate temp tables. Some of that is to be expected with any new database.
    Jake Schlingman | TrustRadius Reviewer

    Support Rating

    MongoDB

    MongoDB 9.4
    Based on 15 answers
    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.
    Mehmet Fatih Onal | TrustRadius Reviewer

    Snowflake

    Snowflake 7.2
    Based on 12 answers
    Overall, the support from Snowflake has been very good. Since we are one of the major users for Snowflake and have a dedicated tech team to solve all the technical problem on our way. On the side of the technical problem, any sql related questions can be found from everywhere online.
    Anonymous | TrustRadius Reviewer

    Implementation Rating

    MongoDB

    MongoDB 8.4
    Based on 4 answers
    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.
    Tom Maiaroto | TrustRadius Reviewer

    Snowflake

    No score
    No answers yet
    No answers on this topic

    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.
    Oleg Chumin | TrustRadius Reviewer

    Snowflake

    In my experience running the data management practice at InterWorks, we believe that cloud data warehouse products will eventually serve the majority of data warehousing use cases and power data analytics at most companies. Of this cohort, we believe that Snowflake is the best among them for most customers. It's easier to manage, in many cases faster, and in almost all cases it is less expensive because of the ability to automatically resume and suspend depending on usage.
    Brian Bickell | TrustRadius Reviewer

    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
    Jeff Sherard | TrustRadius Reviewer

    Snowflake

    • Faster data retrieval makes real time analysis possible.
    • Option to create multiple warehouses enable us to track usages and cost by departments.
    • Option to scale up/down computational warehouse to support peak hours and month end loads makes Snowflake cost effective.
    • Zero-copy cloning reduces storage and deployment cost.
    • Multiple users can access the same amount of data without deadlocks which is a common scenario in relational databases.
    Anonymous | TrustRadius Reviewer

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