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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

    Oracle Observability and Management

    Score6.3 out of 10
    N/AOracle's Observability and Management solution provides visibility and machine learning-driven actionable insights to ease management across all layers of the stack deployed on any technology. To drive scale and predictable results, Oracle’s integrated functionality and automation for DevOps monitoring and IT operations management aims to make it 50% easier to prevent and solve IT problems.N/A
    Pricing
    MongoDBOracle Observability and Management
    Editions & Modules
    Shared
    $0
    per month
    Serverless
    $0.10million reads
    million reads
    Dedicated
    $57
    per month
    No answers on this topic
    Offerings
    Pricing Offerings
    MongoDBOracle Observability and Management
    Free Trial
    YesNo
    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
    MongoDBOracle Observability and Management
    Considered Both Products
    MongoDB
    No answer on this topic
    Oracle
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    12 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    12 Answers
    No answers on this topic
    Happy with the feature set
    100%
    Happy with the feature set
    12 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    9 Answers
    No answers on this topic
    Implementation went as expected
    100%
    Implementation went as expected
    12 Answers
    No answers on this topic
    Features
    MongoDBOracle Observability and Management
    NoSQL Databases
    Comparison of NoSQL Databases features of MongoDB and Oracle Observability and Management
    Feature
    MongoDB
    10.0
    39 Ratings
    16% above category average
    Oracle Observability and Management
    -
    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
    MongoDBOracle Observability and Management
    Small Businesses
    IBM Cloudant
    Score7.4 out of 10
    Amazon CloudWatch
    Score7.8 out of 10
    Medium-sized Companies
    IBM Cloudant
    Score7.4 out of 10
    LogicMonitor
    Score8.9 out of 10
    Enterprises
    IBM Cloudant
    Score7.4 out of 10
    ManageEngine Site24x7
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    MongoDBOracle Observability and Management
    Likelihood to Recommend
    10.0
    (79 ratings)
    8.2
    (3 ratings)
    Likelihood to Renew
    10.0
    (67 ratings)
    -
    (0 ratings)
    Usability
    10.0
    (15 ratings)
    8.2
    (1 ratings)
    Availability
    9.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    9.6
    (13 ratings)
    9.1
    (1 ratings)
    Implementation Rating
    8.4
    (2 ratings)
    -
    (0 ratings)
    User Testimonials
    MongoDBOracle Observability and Management
    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
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    Oracle
    Ideal for a complex organization with requirements to build very complex reports. Especially useful for organizations that already have numerous Oracle products and need to pull information from them. This tool works best when plugged in with other Oracle tools and databases. If you're a larger company, and/or if you're managing a lot of data, Oracle IT Analytics Cloud Service is the perfect tool to manage your Oracle deployment. It provides a number of different options for intelligent analysis while not being too overwhelming to manage. Companies that want a robust tool to manage all data and present it in a visually appealing way to users will greatly benefit from this tool. The tool is very customizable and can be tailored to meet the needs of different users.
    Incentivized
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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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    Oracle
    • It helps in the detection and elimination of security threats.
    • It enables us to detect and resolve IT issues before they impact the end users.
    • It provides automatic diagnostics.
    • It improves the efficiency of operations and productivity.
    Incentivized
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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.
    Incentivized
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    Oracle
    • There's a pretty steep learning curve that needs to be overcome in order to properly deploy this tool. So, unless you're a seasoned IT administrator, you may have a fair amount of homework to do. Implementation and maintenance of this takes a bucket of consulting hours from outside consultants to come in and set up the tool and regularly maintain it, in the long run, this could be costly.
    • The dashboard is not as easy to set up as I would like, however, after setup it will serve your purpose in the best possible way. You may not be able to find out how some data related to another and you can create a report that you think has all the details you need, but it comes up blank because the data really is not connected.
    • There aren't enough self-learning materials available like tutorials and how-to videos. I would like to have access to more e-tutorials from inside the tool. A steep learning curve for most. It would be nice to have a robust learning portal within the application where users can access self-learning material directly from the application and step to spet guides on how to perform different tasks.
    • Does not provide the ease of adding additional data sources without lots of complications. Even though it can handle large data sets, rendering of reports can take a fairly long time if the parameter set is large. For some time it seems like processing takes a bit of time when large data sets are being used. This is not the case with other competing tools.
    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
    Read full review
    Oracle
    No answers on this topic
    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
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    Oracle
    Oracle Observability and Management is a valuable tool for monitoring, troubleshooting, and capacity planning
    Incentivized
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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.
    Incentivized
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    Oracle
    The product management team is very responsive. They are on LinkedIn and Twitter, responding to your questions and offering ideas. I have not opened an Oracle support ticket for this product yet
    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.
    Incentivized
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    Oracle
    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.
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    Oracle
    Oracle Analytics Cloud is an enterprise solution and can't be compared apple-to-apple with a data visualization tool like Tableau. This is not the same use at all. Before selecting Oracle Analytics Cloud, it is most important to consider the data you are looking to collect and how you plan to visualize it. Other tools like Tableau and microstrategy feel smoother to work with, have better UI's and are quicker when processing data. It is also important to think through how you will use the data across your organizations. Can have a steep learning curve but once you are well trained on this tool, the possibilities are endless. The tool is highly customizable and will generate what you design it to generate. If you are having issues with reports and analytics, it is most likely due to data quality issues. Oracle Analytics Cloud also benefits by adding Essbase in it, to perform multi-dimensional analytics.
    Incentivized
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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
    Read full review
    Oracle
    • Reduced security threats.
    • Saves time taken in fixing issues.
    Incentivized
    Read full review
    ScreenShots

    MongoDB Screenshots

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