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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    MongoDB

    Score8.5 out of 10
    N/AMongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.

    $0.10

    million reads

    Snowflake

    Score8.9 out of 10
    N/AThe Snowflake Cloud Data Platform is the eponymous data warehouse with, from the company in San Mateo, a cloud and SQL based DW that aims to allow users to unify, integrate, analyze, and share previously siloed data in secure, governed, and compliant ways. With it, users can securely access the Data Cloud to share live data with customers and business partners, and connect with other organizations doing business as data consumers, data providers, and data service providers.N/A
    Pricing
    MongoDBSnowflake
    Editions & Modules
    Shared
    $0
    per month
    Serverless
    $0.10million reads
    million reads
    Dedicated
    $57
    per month
    No answers on this topic
    Offerings
    Pricing Offerings
    MongoDBSnowflake
    Free Trial
    YesYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional DetailsFully managed, global cloud database on AWS, Azure, and GCP—
    More Pricing Information
    Community Pulse
    MongoDBSnowflake
    Considered Both Products
    MongoDB
    Chose MongoDB
    Snowflake and Redshift are much more mature and have been around longer. MongoDB is definitely much less expensive and if you are in a startup, this is an almost for-sure option. Redshift can be slow and Mongo is much faster. However, losing the relational database aspect could …
    Incentivized
    Snowflake Computing
    Chose Snowflake
    Cloud -Native architecture, Separation of Storage and Compute provides flexibility, Scalable Compute, Cost and Data Security
    Incentivized
    Chose Snowflake
    Our issue with Redshift was that it was very expensive. On top of that, queries were still slow and if we used more of Redshift's memory, then it would have cost even more. Snowflake is not cheap, but less costly for us. Plus, the performance was much better. Also, we got to …
    Incentivized
    Key User Insights
    Would buy again
    100%
    Would buy again
    12 Answers
    100%
    Would buy again
    29 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    12 Answers
    100%
    Delivers good value for the price
    27 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    12 Answers
    100%
    Happy with the feature set
    29 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    9 Answers
    96%
    Lived up to sales and marketing promises
    22 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    12 Answers
    100%
    Implementation went as expected
    24 Answers
    Features
    MongoDBSnowflake
    NoSQL Databases
    Comparison of NoSQL Databases features of MongoDB and Snowflake
    Feature
    MongoDB
    10.0
    39 Ratings
    12% above category average
    Snowflake
    -
    Ratings
    Performance10.039 Ratings00 Ratings
    Availability10.039 Ratings00 Ratings
    Concurrency10.039 Ratings00 Ratings
    Security10.039 Ratings00 Ratings
    Scalability10.039 Ratings00 Ratings
    Data model flexibility10.039 Ratings00 Ratings
    Deployment model flexibility10.038 Ratings00 Ratings
    Best Alternatives
    MongoDBSnowflake
    Small Businesses
    Redis Software
    Score8.3 out of 10
    No answers on this topic
    Medium-sized Companies
    IBM Cloudant
    Score7.4 out of 10
    Azure Synapse Analytics
    Score6.9 out of 10
    Enterprises
    IBM Cloudant
    Score7.4 out of 10
    Teradata Vantage
    Score8.1 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    MongoDBSnowflake
    Likelihood to Recommend
    10.0
    (79 ratings)
    9.2
    (43 ratings)
    Likelihood to Renew
    10.0
    (67 ratings)
    10.0
    (2 ratings)
    Usability
    10.0
    (15 ratings)
    9.3
    (19 ratings)
    Availability
    9.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    9.6
    (13 ratings)
    9.9
    (8 ratings)
    Implementation Rating
    8.4
    (2 ratings)
    -
    (0 ratings)
    Contract Terms and Pricing Model
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    MongoDBSnowflake
    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.
    Incentivized
    Read full review
    Snowflake Computing
    Snowflake is well suited when you have to store your data and you want easy scalability and increase or decrease the storage per your requirement. You can also control the computing cost, and if your computing cost is less than or equal to 10% of your storage cost, then you don't have to pay for computing, which makes it cost-effective as well.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Snowflake Computing
    • Snowflake scales appropriately allowing you to manage expense for peak and off peak times for pulling and data retrieval and data centric processing jobs
    • Snowflake offers a marketplace solution that allows you to sell and subscribe to different data sources
    • Snowflake manages concurrency better in our trials than other premium competitors
    • Snowflake has little to no setup and ramp up time
    • Snowflake offers online training for various employee types
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Snowflake Computing
    • Add constraints for views and not just for tables
    • Do not force customers to renew for same or higher amount to avoid loosing unused credits. Already paid credits should not expire (at least within a reasonable time frame), independent of renewal deal size.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Snowflake Computing
    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
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Snowflake Computing
    Because the fact that you can query tons of data in a few seconds is incredible, it also gives you a lot of functions to format and transform data right in your query, which is ideal when building data models in BI tools like Power BI, it is available as a connector in the most used BI tools worldwide.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Snowflake Computing
    We have had terrific experiences with Snowflake support. They have drilled into queries and given us tremendous detail and helpful answers. In one case they even figured out how a particular product was interacting with Snowflake, via its queries, and gave us detail to go back to that product's vendor because the Snowflake support team identified a fault in its operation. We got it solved without lots of back-and-forth or finger-pointing because the Snowflake team gave such detailed information.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Snowflake Computing
    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.
    Read full review
    Snowflake Computing
    I have had the experience of using one more database management system at my previous workplace. What Snowflake provides is better user-friendly consoles, suggestions while writing a query, ease of access to connect to various BI platforms to analyze, [and a] more robust system to store a large amount of data. All these functionalities give the better edge to Snowflake.
    Incentivized
    Read full review
    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
    Read full review
    Snowflake Computing
    • With separate compute and storage feature, the queries get executed quickly and it improves our overall productivity.
    • Earlier we were using a different product for analytical purposes, but with Snowflake's in-built analytical feature we are now able to save money.
    • Snowflake is cost efficient, features like auto suspend for compute resources helped to control the costs.
    Incentivized
    Read full review
    ScreenShots

    MongoDB Screenshots

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    Snowflake Screenshots

    Screenshot of Snowflake Installation