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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    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

    million reads

    IBM Turbonomic

    Score8.5 out of 10
    Enterprise companies (1,001+ employees)
    IBM Turbonomic, now part of the Concert platform, is a performance and cost optimization platform for public, private, and hybrid clouds used by cloud, infrastructure operations, and architecture to assure application performance while eliminating inefficiencies by dynamically resourcing applications through automated actions. One of the key features of IBM Turbonomic is its ability to continuously adjust…N/A
    Pricing
    MongoDBIBM Turbonomic
    Editions & Modules
    Shared
    $0
    per month
    Serverless
    $0.10million reads
    million reads
    Dedicated
    $57
    per month
    IBM® Turbonomic On-Prem
    Varies - Request a Quote
    per month IBM Turbonomic On-prem optimizes data center resources in real time, ensuring app performance at the lowest cost by aligning infrastructure supply with dynamic application demand.
    IBM® Turbonomic Cloud Standard
    Varies - Request a Quote
    per month For customers with more than USD 1.6 million in annual cloud spend or 50 Managed Virtual Servers (MVS) or greater
    IBM® Turbonomic Hybrid Standard
    Varies - Request a Quote
    per month Advanced hybrid cloud optimization capabilities for customers with 200 managed virtual servers (MVS) or more
    Offerings
    Pricing Offerings
    MongoDBIBM Turbonomic
    Free Trial
    YesYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional DetailsFully managed, global cloud database on AWS, Azure, and GCPVolume discounting available.
    More Pricing Information
    Features
    MongoDBIBM Turbonomic
    NoSQL Databases
    Comparison of NoSQL Databases features of MongoDB and IBM Turbonomic
    Feature
    MongoDB
    10.0
    39 Ratings
    16% above category average
    IBM Turbonomic
    -
    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
    Cloud Management
    Comparison of Cloud Management features of MongoDB and IBM Turbonomic
    Feature
    MongoDB
    -
    Ratings
    IBM Turbonomic
    8.0
    24 Ratings
    9% below category average
    Cloud Management Security00 Ratings7.818 Ratings
    Automation and Orchestration00 Ratings8.725 Ratings
    Cost Management00 Ratings7.926 Ratings
    Cloud Management Performance Monitoring00 Ratings8.426 Ratings
    Governance and Compliance00 Ratings7.624 Ratings
    Resource Management00 Ratings9.325 Ratings
    Systems Integration00 Ratings6.725 Ratings
    Best Alternatives
    MongoDBIBM Turbonomic
    Small Businesses
    IBM Cloudant
    Score7.4 out of 10
    Rackspace Fabric
    Score6.3 out of 10
    Medium-sized Companies
    IBM Cloudant
    Score7.4 out of 10
    Cisco Intersight
    Score8.9 out of 10
    Enterprises
    IBM Cloudant
    Score7.4 out of 10
    Cisco Intersight
    Score8.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    MongoDBIBM Turbonomic
    Likelihood to Recommend
    10.0
    (79 ratings)
    8.6
    (156 ratings)
    Likelihood to Renew
    10.0
    (67 ratings)
    9.0
    (24 ratings)
    Usability
    10.0
    (15 ratings)
    7.7
    (21 ratings)
    Availability
    9.0
    (1 ratings)
    10.0
    (3 ratings)
    Performance
    -
    (0 ratings)
    8.0
    (6 ratings)
    Support Rating
    9.6
    (13 ratings)
    8.0
    (25 ratings)
    In-Person Training
    -
    (0 ratings)
    8.2
    (3 ratings)
    Online Training
    -
    (0 ratings)
    10.0
    (3 ratings)
    Implementation Rating
    8.4
    (2 ratings)
    9.7
    (18 ratings)
    Configurability
    -
    (0 ratings)
    10.0
    (3 ratings)
    Contract Terms and Pricing Model
    -
    (0 ratings)
    9.1
    (2 ratings)
    Ease of integration
    -
    (0 ratings)
    7.3
    (5 ratings)
    Product Scalability
    -
    (0 ratings)
    7.3
    (4 ratings)
    Professional Services
    -
    (0 ratings)
    10.0
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    10.0
    (3 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    10.0
    (3 ratings)
    User Testimonials
    MongoDBIBM Turbonomic
    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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    IBM
    Datacenter Consolidation and Hardware Optimization: This scenario is relevant to you as a hardware manager. It applies when you have physical servers (like Power or System z) and want to maximize virtual machine density. Why it works: IBM Turbonomic analyzes the peak usage times of each VM. If VM "A" is active during the day and VM "B" at night, it places them on the same physical host. Ideal scenario: Data migration projects or when you're told, "[...], there's no budget for more servers this year, make everything fit on what we have." Consolidación de Datacenters y Optimización de Hardware,Este escenario te toca de cerca como encargado de Hardware. Cuando tienes servidores físicos (como los Power o System z) y quieres maximizar la densidad de máquinas virtuales.Por qué funciona: IBM Turbonomic analiza las horas pico de cada VM. Si la VM "A" es activa de día y la VM "B" de noche, las coloca en el mismo host físico.Escenario ideal: Proyectos de migración de datos o cuando te dicen: "[...], no hay presupuesto para más servidores este año, haz que quepa todo en lo que tenemos". This review was originally written in Spanish and has been translated into English using a third-party translation tool. While we strive for accuracy, some nuances or meanings may not be perfectly captured.
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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.
    Incentivized
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    IBM
    • Presentation is nice. Its easy to understand what your looking at and the data that is being presented to you.
    • Properly identify resource utilization and recommendations for action on how VMs can be improved and resources can be better utilized.
    • It was also able to tell us the same information and analysis for cloud resources. I was not expecting that.
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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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    IBM
    • It would be nice if the UI included a break-down of features that are both licensed as well as un-licensed. That way, you could not only see what you have, but what you don't.
    • The right-sizing recommendations are great, but very little info is given about why the recommendation is being made. More info would not only increase understanding, but would also help drive decision-making.
    Incentivized
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    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
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    IBM
    We are certainly happy with Turbonomic as a whole and have invested quite a bit of time and effort into learning the ins and outs of the product. We have our reporting setup the way we want it and have gained definite value from these features. I will say though that many products nowadays are offering more native monitoring, reporting, and alerting features which may eventually steer us away from this product
    Incentivized
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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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    IBM
    Excellent approach to larger VM organizational management. They have an very clean integrated dashboard that allows us to see everything in our environment and what that is doing in real-time. It works on multiple hyper-visors really well and integrates capacity planning on my local site as well as my cloud locations.
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    Reliability and Availability
    MongoDB
    No answers on this topic
    IBM
    VMTurbo has not caused any outages by not doing what we expect it to do.
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    Performance
    MongoDB
    No answers on this topic
    IBM
    It allocates resources among applications by showing more on the cost breakdown by cloud service, with metrics on cloud provider information like Azure Management, Identity, Networking, Storage with costs per day, and total services costs. This then could facilitate and show the corresponding actions thereafter upon scaling.
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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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    IBM
    When I contact support I get a quick response and they are able to solve my problem quickly. I also get a sense that they want to make sure that we are getting value from the product and walk me through whatever steps are needed to accomplish my goals.
    Incentivized
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    In-Person Training
    MongoDB
    No answers on this topic
    IBM
    Alex (from VMTurbo) has worked with the product for years and helped develop the product. He was very knowledgeable and was able to provide our support team with details knowledge on how to get our deployment configured correctly as well as help with another VMTurbo POC within another customers environment.
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    Online Training
    MongoDB
    No answers on this topic
    IBM
    After buying VMTurbo Operations Manager, I was invited to an online user training event. I felt this training was effective and dug just deep enough to be informative yet still keep my attention. Additionally, the webinar was free.
    Incentivized
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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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    IBM
    The implementation was very simple. Just upload an OVA file and power on the VM. Once it comes up enter some networking information and you can then access the web interface. From there, just begin configuring the system for your environment by adding you license and the various virtual environments and storage through the inventory tab
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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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    IBM
    As the organization had experience of years in using IBM products, we had the confidence that they will provide us with great support. And we needed a reliable solution as a financial institute to ensure continuous operations. Even though the price was very high, we made the correct decision to go ahead with IBM Turbonomic as the feedback from existing users in the region was very positive. We needed a solution which was capable of handling our automation requirements. All these were green in IBM Turbonomic.
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    Scalability
    MongoDB
    No answers on this topic
    IBM
    It’s very scalable.
    Incentivized
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    Professional Services
    MongoDB
    No answers on this topic
    IBM
    Professional services were always there to guide us in our transformation to the cloud. They understood our business model and then were able to provide guidance on what we needed from the tool.
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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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    IBM
    • Application performance has been a big one. With Turbonomic keeping everything running at top performance, it can make changes when extra resources are need, quicker than somebody being notified and then making the necessary changes.
    • Turbonomic has been a great cost savings for us on multiple occasions. We use it every time we are improving servers.
    • With the planning feature we get the best performance form new hardware purchases
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    ScreenShots

    MongoDB Screenshots

    Product screenshotProduct screenshotProduct screenshotProduct screenshotProduct screenshotProduct screenshot

    IBM Turbonomic Screenshots

    Screenshot of IBM Turbonomic Action Center, where it shows the list of optimization actions across the global environment—on-prem and cloud—that should be taken to minimize cost while assuring performance.Screenshot of IBM Turbonomic Application, a view that shows the global environment across private and public infrastructure from the context of individual application components. Users can optimize one application at a time by viewing each app's pending actions. The Supply Chain at left shows all of the entities across applications and their interdependencies.Screenshot of The IBM Turbonomic Cloud Executive Dashboard, an out of the box dashboard that allow users to rapidly communicate value to executives. This view shows the cloud cost savings opportunities realized and not yet realized over any time period.Screenshot of The IBM Turbonomic On-prem Executive Dashboard, an out of the box dashboard that allow users to rapidly communicate value to executives. This view shows the savings opportunities realized and not yet realized over any time period.Screenshot of an IBM Turbonomic Cloud view, where the public cloud environment(s) and all of the pending actions required to bring them into an efficient, performant state. The Supply Chain at left shows all of the entities in the public cloud(s) and their interdependencies.Screenshot of The IBM Turbonomic On-Prem view that shows the user's private data center environment(s) and all of the pending actions required to bring them into an efficient, performant state. The Supply Chain at left shows all of the entities in data center(s) and the interdependencies between them.