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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM Cloud Databases

    Score8 out of 10
    N/AIBM Cloud Databases are open source data stores for enterprise application development. Built on a Kubernetes foundation, they offer a database platform for serverless applications. They are designed to scale storage and compute resources seamlessly without being constrained by the limits of a single server. Natively integrated and available in the IBM Cloud console, these databases are now available through a consistent consumption, pricing, and interaction model. They aim to provide a cohesive…N/A

    MongoDB

    Score8.8 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

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    Pricing
    IBM Cloud DatabasesMongoDB
    Editions & Modules
    No answers on this topic
    Shared
    $0
    per month
    Serverless
    $0.10million reads
    million reads
    Dedicated
    $57
    per month
    Offerings
    Pricing Offerings
    IBM Cloud DatabasesMongoDB
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    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
    IBM Cloud DatabasesMongoDB
    Considered Both Products
    IBM
    Chose IBM Cloud Databases
    We previously hosted our own Redis and RabbitMQ cluster. Before switching to IBM Compose we evaluated Redis Lab, Scalegrid, AWS ElastiCache, CloudAMQP and others. We still host our core database (MongoDB) ourselves.
    Incentivized
    Chose IBM Cloud Databases
    MongoDB is the primary db we use, and Meteor is the primary application framework. Configuring MongoDB to fully support Meteor oplog tailing is a challenge - and when we started looking, Compose was those only MongoDB provider that had turnkey support for Meteor.

    Since we wanted …
    Incentivized
    Chose IBM Cloud Databases
    I tried MLab and was not a fan of how the UI worked on their control panel. It felt outdated and cumbersome. They offered less backup solutions for the price point as well. In fact, you had to contact them with a ticket if you wanted access to a daily backup. Anything over that …
    Incentivized
    Chose IBM Cloud Databases
    We use Amazon's RDS (MySQL database), Redislabs (Redis) and also MongoDB's Atlas. They all have their own advantages and disadvantages. For us, MongoDB's Atlas and Compose are obviously similar services. For now, we use Atlas to try new things (since they run the latest stable …
    Incentivized
    Chose IBM Cloud Databases
    UI/UX was much better with ibm compose.
    Incentivized
    Chose IBM Cloud Databases
    While at the time, Amazon RDS did/does not create Mongo databases, I was able to set up many with PostgreSQL databases with the same ease as IBM Compose. However, IBM compose does seem to offer a more intuitive application control panel. Amazon RDS costs run on a server …
    Incentivized
    Chose IBM Cloud Databases
    We selected Compose because we initially thought that they would provide great support, and that they would bring encryption at rest within months. That has not materialized yet.

    We also thought that the cost, while far from being the lowest, was reasonable.
    Incentivized
    Chose IBM Cloud Databases
    We use Amazon Aurora as our primary datastore and use IBM Compose Mongo as an alternative only when Aurora does not cover the use case well. Amazon DynamoDB looks good but doesn't have the same wealth of libraries and support which makes MongoDB easy to use and therefore was …
    Incentivized
    Chose IBM Cloud Databases
    We have one instance of mLab that has been equally easy to scale as Compose, but with the added benefit of extensive logging and performance monitoring tools, including an index suggester. All modern cloud db providers seem to offer more of this type of functionality at this …
    Incentivized
    Chose IBM Cloud Databases
    Compose has great scalability and had a good price when we decided to launch our product.
    Incentivized
    Chose IBM Cloud Databases
    We evaluated several DBaaS providers, the thing that won out for Compose was its GUI which makes working with the database very easy.
    Incentivized
    Chose IBM Cloud Databases
    I use Watson's cognitive services. I had no IBM database IBM before.
    Incentivized
    Chose IBM Cloud Databases
    Other options are lower priced, however IBM Compose has by far the best interface for managing and editing data within the database. It also has many forms of databases for us to deploy, beyond what we are currently using. So, in the event we need to add other services, we can …
    Incentivized
    Chose IBM Cloud Databases
    IBM Compose pricing is far more clear than Azure and Amazon. The web user interface is also very clear and simple.
    Incentivized
    Chose IBM Cloud Databases
    We initially selected IBM Compose because it was easy to use and cost-effective. We switched to mLab when we need to scale and have dedicated clusters.
    Incentivized
    Chose IBM Cloud Databases
    It feels very similar but Compose was there first. I haven't used MongoDB Atlas in anger yet but it does seem to be more comprehensive.
    Incentivized
    Chose IBM Cloud Databases
    All our databases are hosted on Compose. We haven't seen a reason to switch providers, however, we have compared with some others and Compose seems to be the best from a cost and reliability standpoint.
    Incentivized
    Chose IBM Cloud Databases
    Mongo Atlas - at the moment it looks better. It has 3.6 (Compose stuck at 3.4). Lower pricing (it seems).
    AWS Dynamo DB etc - I decided rather quickly not to use this, mostly for lack of adequate documentation.
    Incentivized
    Chose IBM Cloud Databases
    • Supported by IBM
    • Clean and better UI experience
    • Supports Digital Ocean
    Incentivized
    Chose IBM Cloud Databases
    It has been a very long time, but at the time, Compose's customer support was incredible compared to MongoLab.
    Incentivized
    Chose IBM Cloud Databases
    Compose has a better web interface which is why I originally chose them. But now, I'm glad they also offer Redis and other DB's I need for my stack.
    Incentivized
    Chose IBM Cloud Databases
    We had used mlab at one point but found it less reliable than compose.io. Really, we wanted a strong foundation to start from day one and figured a produced backed by IBM would be the way to go. We are still a small startup and don't have a ton of resource to mess around with …
    Incentivized
    Chose IBM Cloud Databases
    I love IBM compose for its simplicity, reliability, scalability, and price. I am uncertain on how the infrastructure is deployed and fault tolerance as we rarely need this.
    Incentivized
    Chose IBM Cloud Databases
    We moved off of Compose as quickly as possible. We picked Compose at first to make an MVP while not having to worry about managing a database. Compose pricing is unviably expensive compared to other companies and is very limited in features.
    Incentivized
    Chose IBM Cloud Databases
    Compose has the best interface for viewing data. Others have better pricing. Atlas has best metrics.
    Incentivized
    MongoDB
    No answer on this topic
    Key User Insights
    Would buy again
    94%
    Would buy again
    15 Answers
    100%
    Would buy again
    12 Answers
    Delivers good value for the price
    80%
    Delivers good value for the price
    12 Answers
    100%
    Delivers good value for the price
    12 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    16 Answers
    100%
    Happy with the feature set
    12 Answers
    Lived up to sales and marketing promises
    93%
    Lived up to sales and marketing promises
    14 Answers
    100%
    Lived up to sales and marketing promises
    9 Answers
    Implementation went as expected
    93%
    Implementation went as expected
    14 Answers
    100%
    Implementation went as expected
    12 Answers
    Features
    IBM Cloud DatabasesMongoDB
    Database-as-a-Service
    Comparison of Database-as-a-Service features of IBM Cloud Databases and MongoDB
    Feature
    IBM Cloud Databases
    7.3
    94 Ratings
    14% below category average
    MongoDB
    -
    Ratings
    Automatic software patching8.577 Ratings00 Ratings
    Database scalability10.088 Ratings00 Ratings
    Automated backups7.091 Ratings00 Ratings
    Database security provisions9.084 Ratings00 Ratings
    Monitoring and metrics4.088 Ratings00 Ratings
    Automatic host deployment5.269 Ratings00 Ratings
    NoSQL Databases
    Comparison of NoSQL Databases features of IBM Cloud Databases and MongoDB
    Feature
    IBM Cloud Databases
    -
    Ratings
    MongoDB
    10.0
    39 Ratings
    16% above category average
    Performance00 Ratings10.039 Ratings
    Availability00 Ratings10.039 Ratings
    Concurrency00 Ratings10.039 Ratings
    Security00 Ratings10.039 Ratings
    Scalability00 Ratings10.039 Ratings
    Data model flexibility00 Ratings10.039 Ratings
    Deployment model flexibility00 Ratings10.038 Ratings
    Best Alternatives
    IBM Cloud DatabasesMongoDB
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    IBM Cloudant
    Score7.4 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    IBM Cloudant
    Score7.4 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    IBM Cloudant
    Score7.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM Cloud DatabasesMongoDB
    Likelihood to Recommend
    8.0
    (96 ratings)
    10.0
    (79 ratings)
    Likelihood to Renew
    8.0
    (7 ratings)
    10.0
    (67 ratings)
    Usability
    8.0
    (7 ratings)
    10.0
    (15 ratings)
    Availability
    -
    (0 ratings)
    9.0
    (1 ratings)
    Support Rating
    1.0
    (10 ratings)
    9.6
    (13 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.4
    (2 ratings)
    User Testimonials
    IBM Cloud DatabasesMongoDB
    Likelihood to Recommend
    IBM
    Less Appropriate Scenario: 1) Small Scale or Low Budget Projects 2) Organizations with limited expertise in cloud technologies may find the learning curve steep, especially if they are not familiar with the IBM Cloud platform 3) If database requirements are highly dynamic and change frequently, the comprehensive features and management provided by IBM Cloud Databases might be overkill. A more flexible, self-managed solution could be preferable for adapting to rapid changes.
    Incentivized
    Read full review
    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
    Pros
    IBM
    • The ease of setup was effortless. For anyone with development experience, a few simple questions such as name and login data will get you set up.
    • The web application to manage cluster settings, billing settings and even introspect the data was simple and most importantly worked all the time. This can not always be said for web interfaces of other products.
    Incentivized
    Read full review
    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
    Cons
    IBM
    • Better cost reports, before just increasing to another tier, thus increasing the price. This is critical for early stage startups, where budget is tight.
    • Add more data center options. As a comparison, a similar service, Aiven.io has dozen more options than Compose (basically all big cloud providers). We moved from AWS to Digital Ocean, which made us stop using Compose, since Compose forces us to be either on IBM or AWS.
    Incentivized
    Read full review
    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
    Likelihood to Renew
    IBM
    IBM is our trusted partner which never failed to meet our expectations. Stability, efficiency, usability and security is a must have for our business which is fully provided by IBM Cloud Databases
    Incentivized
    Read full review
    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
    Usability
    IBM
    IBM Cloud Databases' pricing structure is easy to understand, and if you choose the right product, you can operate your system at minimal cost. Although there is ample documentation available, there doesn't seem to be a user community running on it, so specific usage know-how and troubleshooting can sometimes take longer than expected.
    Read full review
    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
    Support Rating
    IBM
    Support is helpful enough, but we haven't always had questions answered in a satisfactory manner. At one time we realized that Compose had stopped taking database snapshots on its two-per-day schedule, and had in fact not taken one for many days. Support recognized the problem and it was fixed, but the lack of proactive checks and the inability to share exactly what happened has caused us to look elsewhere for production work loads
    Incentivized
    Read full review
    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
    Implementation Rating
    IBM
    No answers on this topic
    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
    Alternatives Considered
    IBM
    The reason why I choose IBM Cloud Databases is that the IBM cloud toolset is already being used in other functions of the company and by using IBM Cloud Databases, the other cloud tools are better embedded and integrated. If the company is set to use amazon tools, I would go for rds.
    Incentivized
    Read full review
    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
    Return on Investment
    IBM
    • Prove use cases prior to administering entire platform, obtain ROI faster
    • Able to achieve the technological components of our advanced analytics team without full scale purchase of AI platform
    • Developed several studies to prove out cloud Db value, speed to deploy
    Incentivized
    Read full review
    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
    ScreenShots

    MongoDB Screenshots

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