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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

    Responsive

    Score8.9 out of 10
    N/AResponsive (formerly RFPIO), headquartered in Beaverton, offers their proposal management and automation software, featuring import and export, proposal knowledgebase and answer library, evaluation intake forms, and project management tools (e.g. Gantt chart) associated to proposal tracking.N/A
    Pricing
    MongoDBResponsive
    Editions & Modules
    Shared
    $0
    per month
    Serverless
    $0.10million reads
    million reads
    Dedicated
    $57
    per month
    No answers on this topic
    Offerings
    Pricing Offerings
    MongoDBResponsive
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional DetailsFully managed, global cloud database on AWS, Azure, and GCP—
    More Pricing Information
    Community Pulse
    MongoDBResponsive
    Considered Both Products
    MongoDB
    No answer on this topic
    Responsive (formerly RFPIO)
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    12 Answers
    100%
    Would buy again
    34 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    12 Answers
    100%
    Delivers good value for the price
    24 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    12 Answers
    100%
    Happy with the feature set
    34 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    9 Answers
    100%
    Lived up to sales and marketing promises
    25 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    12 Answers
    95%
    Implementation went as expected
    21 Answers
    Features
    MongoDBResponsive
    NoSQL Databases
    Comparison of NoSQL Databases features of MongoDB and Responsive
    Feature
    MongoDB
    10.0
    39 Ratings
    16% above category average
    Responsive
    -
    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
    MongoDBResponsive
    Small Businesses
    IBM Cloudant
    Score7.4 out of 10
    No answers on this topic
    Medium-sized Companies
    IBM Cloudant
    Score7.4 out of 10
    No answers on this topic
    Enterprises
    IBM Cloudant
    Score7.4 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    MongoDBResponsive
    Likelihood to Recommend
    10.0
    (79 ratings)
    9.3
    (33 ratings)
    Likelihood to Renew
    10.0
    (67 ratings)
    9.5
    (27 ratings)
    Usability
    10.0
    (15 ratings)
    10.0
    (1 ratings)
    Availability
    9.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    9.6
    (13 ratings)
    9.8
    (17 ratings)
    Implementation Rating
    8.4
    (2 ratings)
    10.0
    (2 ratings)
    User Testimonials
    MongoDBResponsive
    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
    Responsive (formerly RFPIO)
    Good use cases: - Responding to RFP's especially generic questions that are asked frequently (company size, product info, security posture) - Delegating approvals or questions to appropriate teams where the AI solution is not well positioned to provide a thorough or complete answer - Reviewing previous RFP documents that have been submitted by previous account teams Bad Use Cases: - Struggles compared to other AI tools with contextual deep questions about product functionality - Doesn't seamlessly integrate with tools where our clients submit RFP and require sign ons.
    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
    Responsive (formerly RFPIO)
    • Live collaboration - the ability for multiple experts to simultaneously work on the same RFP.
    • Artificial intelligence - the ability for the product to continually learn what the best answers are and serve them up to our teams.
    • Dynamic branding - the ability for custom brand different templates by vertical, line of business, local branding, etc. with seamless transition.
    • Content review & moderation - the ability for our national content team to bulk review, edit and share content with our teams in a methodical way.
    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
    Responsive (formerly RFPIO)
    • Reporting and Analytics is basic, you can purchase advanced analytics though
    • It would have been nice to have a set structure in mind or a example/case study to structure our responses in the most appropriate way, but we are working through that with their stellar support team
    • Really great new features, but expensive
    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
    Responsive (formerly RFPIO)
    We'd be sunk without Responsive. The sales motion would slow way down in several places, and that's just unacceptable. AND I love the product. It helps me do my job efficiently. The Responsive team is GREAT. Support is getting better. The Product and Customer Experience Team is so knowledgeable and willing to help with new features and troubleshoot what's going on. It's an all-around great experience. Not to mention starting over - I can't even get my head around that.
    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
    Responsive (formerly RFPIO)
    Very easy to navigate and use. Very intuitive user interface
    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
    Responsive (formerly RFPIO)
    If I cannot solve a problem, then I reach out to Support and they are ON IT. They always solve the problem and get back to me immediately with an answer. Our customer support person who is assigned to us (we have had several) are responsive and helpful. We have asked them to sit in on meetings and help socialize the tool.
    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
    Responsive (formerly RFPIO)
    We were able to complete an RFP during our free trial. We were already leaning toward RFPIO but that pushed us over the edge.
    Read full review
    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
    Responsive (formerly RFPIO)
    While others have had a good experience with Qvidian, we unfortunately did not. Our questions were never answered by our Qvidian rep, as we used it the platform had no AI capabilities, and we had very low usage. It didn't serve our needs. Responsive has been incredible in their communication, responses, partnership, and willingness to get our feedback in order to improve the platform
    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
    Responsive (formerly RFPIO)
    • Client Confidence: the use of RFP360 has allowed us to deliver a demonstrably robust process to our clients, providing them a very high level of confidence in the quality of our work.
    • Time Efficiency: RFP360's services provide a great deal of time-saving in the management of virtually the entire RFP process.
    Incentivized
    Read full review
    ScreenShots

    MongoDB Screenshots

    Product screenshotProduct screenshotProduct screenshotProduct screenshotProduct screenshotProduct screenshot

    Responsive Screenshots

    Screenshot of a view of the platformScreenshot of an AI generated responseScreenshot of some of the available customer resourcesScreenshot of some of the available integrationsScreenshot of a promotional flyerScreenshot of an example of the AI augmented content management feature