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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Kibana

    Score8.4 out of 10
    N/AKibana allows users to visualize Elasticsearch data and navigate the Elastic Stack so you can do anything from tracking query load to understanding the way requests flow through your apps.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

    million reads

    Pricing
    KibanaMongoDB
    Editions & Modules
    No answers on this topic
    Shared
    $0
    per month
    Serverless
    $0.10million reads
    million reads
    Dedicated
    $57
    per month
    Offerings
    Pricing Offerings
    KibanaMongoDB
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—Fully managed, global cloud database on AWS, Azure, and GCP
    More Pricing Information
    Community Pulse
    KibanaMongoDB
    Considered Both Products
    Elastic
    No answer on this topic
    MongoDB
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    5 Answers
    100%
    Would buy again
    12 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    12 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    5 Answers
    100%
    Happy with the feature set
    12 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    9 Answers
    Implementation went as expected
    80%
    Implementation went as expected
    4 Answers
    100%
    Implementation went as expected
    12 Answers
    Features
    KibanaMongoDB
    BI Standard Reporting
    Comparison of BI Standard Reporting features of Kibana and MongoDB
    Feature
    Kibana
    7.0
    5 Ratings
    14% below category average
    MongoDB
    -
    Ratings
    Pixel Perfect reports6.02 Ratings00 Ratings
    Customizable dashboards8.05 Ratings00 Ratings
    Report Formatting Templates7.03 Ratings00 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Kibana and MongoDB
    Feature
    Kibana
    6.7
    5 Ratings
    16% below category average
    MongoDB
    -
    Ratings
    Drill-down analysis8.05 Ratings00 Ratings
    Formatting capabilities7.04 Ratings00 Ratings
    Integration with R or other statistical packages5.01 Ratings00 Ratings
    Report sharing and collaboration6.94 Ratings00 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of Kibana and MongoDB
    Feature
    Kibana
    6.8
    2 Ratings
    18% below category average
    MongoDB
    -
    Ratings
    Publish to Web8.02 Ratings00 Ratings
    Publish to PDF8.02 Ratings00 Ratings
    Report Versioning6.02 Ratings00 Ratings
    Report Delivery Scheduling6.02 Ratings00 Ratings
    Delivery to Remote Servers6.02 Ratings00 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Kibana and MongoDB
    Feature
    Kibana
    6.7
    4 Ratings
    14% below category average
    MongoDB
    -
    Ratings
    Pre-built visualization formats (heatmaps, scatter plots etc.)8.04 Ratings00 Ratings
    Location Analytics / Geographic Visualization7.02 Ratings00 Ratings
    Predictive Analytics6.02 Ratings00 Ratings
    Pattern Recognition and Data Mining6.01 Ratings00 Ratings
    NoSQL Databases
    Comparison of NoSQL Databases features of Kibana and MongoDB
    Feature
    Kibana
    -
    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
    KibanaMongoDB
    Small Businesses
    Chartio (discontinued)
    Score7.5 out of 10
    IBM Cloudant
    Score7.4 out of 10
    Medium-sized Companies
    Jet Reports
    Score9.5 out of 10
    IBM Cloudant
    Score7.4 out of 10
    Enterprises
    Looker Studio
    Score8.2 out of 10
    IBM Cloudant
    Score7.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    KibanaMongoDB
    Likelihood to Recommend
    8.0
    (5 ratings)
    10.0
    (79 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    10.0
    (67 ratings)
    Usability
    8.0
    (1 ratings)
    10.0
    (15 ratings)
    Availability
    -
    (0 ratings)
    9.0
    (1 ratings)
    Support Rating
    7.7
    (2 ratings)
    9.6
    (13 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.4
    (2 ratings)
    User Testimonials
    KibanaMongoDB
    Likelihood to Recommend
    Elastic
    Kibana is indeed a powerful tool and has many use cases especially in environments that rely heavily on real-time log analysis and visualisation. Kibana’s ability to handle large volumes of log data and present it in an accessible, searchable format is invaluable. We use Kibana to monitor security related issues and it proactively alerts our Slack channels about any anomality or issues.
    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
    Elastic
    • Fast searches with powerful index.
    • Beautiful data visualizations.
    • Real-time observability.
    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
    Elastic
    • Some performance issues with large datasets.
    • Linking to dashboards makes extremely long urls.
    • Lack of reports.
    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
    Elastic
    No answers on this topic
    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
    Elastic
    Its usability is generally good and it provides teams with a basic to intermediate understanding about data visualization. It is very user-friendly when it comes to creating dashboards. The UI is very good and simple. Its integration with other tools for alerting and reporting is amazing. But its advance features have a learning curve and a first timer needs some time to use the advance features.
    Incentivized
    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
    Elastic
    We did not use the official Kibana support. Documentation was easy enough to follow.
    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
    Elastic
    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
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    Alternatives Considered
    Elastic
    Kibana is free; it was the first and only thing we've tried in this area.
    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
    Elastic
    • Issues that affect checkout experiences for customers are able to be prioritized and solved quickly.
    • We are able to more efficiently use resources due to the automation of reporting alerts. Decreasing employee resources needed.
    • Visualization allows us to quickly share issues and explain to coworkers in order to escalate issues that can cost our bottom line.
    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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