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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    MongoDB Atlas

    Score7.8 out of 10
    N/AMongoDB Atlas is the company's automated managed cloud service, supplying automated deployment, provisioning and patching, and other features supporting database monitoring and optimization.

    $57

    per month

    Amazon Redshift

    Score8.9 out of 10
    N/AAmazon Redshift is a hosted data warehouse solution, from Amazon Web Services.

    $0.24

    per GB per month

    Pricing
    MongoDB AtlasAmazon Redshift
    Editions & Modules
    Dedicated Clusters
    $57
    per month
    Dedicated Multi-Reigon Clusters
    $95
    per month
    Shared Clusters
    Free
    Redshift Managed Storage
    $0.24
    per GB per month
    Current Generation
    $0.25 - $13.04
    per hour
    Previous Generation
    $0.25 - $4.08
    per hour
    Redshift Spectrum
    $5.00
    per terabyte of data scanned
    Offerings
    Pricing Offerings
    MongoDB AtlasAmazon Redshift
    Free Trial
    NoNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    MongoDB AtlasAmazon Redshift
    Considered Both Products
    MongoDB
    No answer on this topic
    Amazon AWS
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    5 Answers
    78%
    Would buy again
    14 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    5 Answers
    82%
    Delivers good value for the price
    14 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    5 Answers
    78%
    Happy with the feature set
    14 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    5 Answers
    93%
    Lived up to sales and marketing promises
    14 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    5 Answers
    100%
    Implementation went as expected
    16 Answers
    Features
    MongoDB AtlasAmazon Redshift
    Database-as-a-Service
    Comparison of Database-as-a-Service features of MongoDB Atlas and Amazon Redshift
    Feature
    MongoDB Atlas
    8.9
    6 Ratings
    5% above category average
    Amazon Redshift
    -
    Ratings
    Automatic software patching9.16 Ratings00 Ratings
    Database scalability9.96 Ratings00 Ratings
    Automated backups9.96 Ratings00 Ratings
    Database security provisions9.16 Ratings00 Ratings
    Monitoring and metrics6.56 Ratings00 Ratings
    Automatic host deployment9.05 Ratings00 Ratings
    Best Alternatives
    MongoDB AtlasAmazon Redshift
    Small Businesses
    Google BigQuery
    Score8.8 out of 10
    No answers on this topic
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Snowflake
    Score8.7 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    Snowflake
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    MongoDB AtlasAmazon Redshift
    Likelihood to Recommend
    8.3
    (6 ratings)
    9.0
    (38 ratings)
    Usability
    8.0
    (1 ratings)
    9.0
    (10 ratings)
    Support Rating
    10.0
    (2 ratings)
    9.0
    (7 ratings)
    Contract Terms and Pricing Model
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    MongoDB AtlasAmazon Redshift
    Likelihood to Recommend
    MongoDB
    It is good if you: 1. Have unstructured data that you need to save (since it is NoSQL DB) 2. You don't have time or knowledge to setup the MongoDB Atlas, the managed service is the way to go (Atlas) 3. If you need a multi regional DB across the world
    Incentivized
    Read full review
    Amazon AWS
    If the number of connections is expected to be low, but the amounts of data are large or projected to grow it is a good solutions especially if there is previous exposure to PostgreSQL. Speaking of Postgres, Redshift is based on several versions old releases of PostgreSQL so the developers would not be able to take advantage of some of the newer SQL language features. The queries need some fine-tuning still, indexing is not provided, but playing with sorting keys becomes necessary. Lastly, there is no notion of the Primary Key in Redshift so the business must be prepared to explain why duplication occurred (must be vigilant for)
    Incentivized
    Read full review
    Pros
    MongoDB
    • Generous free and trial plan for evaluation or test purposes.
    • New versions of MongoDB are able to be deployed with Atlas as soon as they're released—deploying recent versions to other services can be difficult or risky.
    • As the key supporters of the open source MongoDB project, the service runs in a highly optimized and performant manner, making it much easier than having to do the work internally.
    Incentivized
    Read full review
    Amazon AWS
    • [Amazon] Redshift has Distribution Keys. If you correctly define them on your tables, it improves Query performance. For instance, we can define Mapping/Meta-data tables with Distribution-All Key, so that it gets replicated across all the nodes, for fast joins and fast query results.
    • [Amazon] Redshift has Sort Keys. If you correctly define them on your tables along with above Distribution Keys, it further improves your Query performance. It also has Composite Sort Keys and Interleaved Sort Keys, to support various use cases
    • [Amazon] Redshift is forked out of PostgreSQL DB, and then AWS added "MPP" (Massively Parallel Processing) and "Column Oriented" concepts to it, to make it a powerful data store.
    • [Amazon] Redshift has "Analyze" operation that could be performed on tables, which will update the stats of the table in leader node. This is sort of a ledger about which data is stored in which node and which partition with in a node. Up to date stats improves Query performance.
    Incentivized
    Read full review
    Cons
    MongoDB
    • For someone new, it could be challenging using MongoDB Atlas. Some official video tutorials could help a lot
    • Pricing calculation is sometimes misleading and unpredictable, maybe better variables could be used to provide better insights about the cost
    • Since it is a managed service, we have limited control over the instances and some issues we faced we couldn't;'t know about without reaching out to the support and got fixed from their end. So more control over the instance might help
    • The way of managing users and access is somehow confusing. Maybe it could be placed somewhere easy to access
    Incentivized
    Read full review
    Amazon AWS
    • We've experienced some problems with hanging queries on Redshift Spectrum/external tables. We've had to roll back to and old version of Redshift while we wait for AWS to provide a patch.
    • Redshift's dialect is most similar to that of PostgreSQL 8. It lacks many modern features and data types.
    • Constraints are not enforced. We must rely on other means to verify the integrity of transformed tables.
    Incentivized
    Read full review
    Usability
    MongoDB
    I would give it 8. Good stuff: 1. Easy to use in terms of creating cluster, integrating with Databases, setting up backups and high availability instance, using the monitors they provide to check cluster status, managing users at company level, configure multiple replicas and cross region databases. Things hard to use: 1. roles and permissions at DB level. 2. Calculate expected costs
    Incentivized
    Read full review
    Amazon AWS
    Just very happy with the product, it fits our needs perfectly. Amazon pioneered the cloud and we have had a positive experience using RedShift. Really cool to be able to see your data housed and to be able to query and perform administrative tasks with ease.
    Incentivized
    Read full review
    Support Rating
    MongoDB
    We love MongoDB support and have great relationship with them. When we decided to go with MongoDB Atlas, they sent a team of 5 to our company to discuss the process of setting up a Mongo cluster and walked us through. when we have questions, we create a ticket and they will respond very quickly
    Incentivized
    Read full review
    Amazon AWS
    The support was great and helped us in a timely fashion. We did use a lot of online forums as well, but the official documentation was an ongoing one, and it did take more time for us to look through it. We would have probably chosen a competitor product had it not been for the great support
    Incentivized
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    Alternatives Considered
    MongoDB
    MongoDB is a great product but on premise deployments can be slow. So we turned to Atlas. We also looked at Redis Labs and we use Redis as our side cache for app servers. But we love using MongoDB Atlas for cloud deployments, especially for prototyping because we can get started immediately. And the cost is low and easy to justify.
    Incentivized
    Read full review
    Amazon AWS
    Than Vertica: Redshift is cheaper and AWS integrated (which was a plus because the whole company was on AWS).
    Than BigQuery: Redshift has a standard SQL interface, though recently I heard good things about BigQuery and would try it out again.
    Than Hive: Hive is great if you are in the PB+ range, but latencies tend to be much slower than Redshift and it is not suited for ad-hoc applications.
    Incentivized
    Read full review
    Contract Terms and Pricing Model
    MongoDB
    No answers on this topic
    Amazon AWS
    Redshift is relatively cheaper tool but since the pricing is dynamic, there is always a risk of exceeding the cost. Since most of our team is using it as self serve and there is no continuous tracking by a dedicated team, it really needs time & effort on analyst's side to know how much it is going to cost.
    Incentivized
    Read full review
    Return on Investment
    MongoDB
    • Positive - Faster provisioning so we don't have development teams waiting.
    • Positive - Automated backups and server management - eliminates need for dedicated DBAs.
    Incentivized
    Read full review
    Amazon AWS
    • Our company is moving to the AWS infrastructure, and in this context moving the warehouse environments to Redshift sounds logical regardless of the cost.
    • Development organizations have to operate in the Dev/Ops mode where they build and support their apps at the same time.
    • Hard to estimate the overall ROI of moving to Redshift from my position. However, running Redshift seems to be inexpensive compared to all the licensing and hardware costs we had on our RDBMS platform before Redshift.
    Incentivized
    Read full review
    ScreenShots