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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

    Tableau Desktop

    Score8.6 out of 10
    N/ATableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.

    $1,380

    per year (purchased via a Creator license)

    Pricing
    MongoDBTableau Desktop
    Editions & Modules
    Shared
    $0
    per month
    Serverless
    $0.10million reads
    million reads
    Dedicated
    $57
    per month
    Tableau Creator License
    $115
    per month (billed annually) per user
    Offerings
    Pricing Offerings
    MongoDBTableau Desktop
    Free Trial
    YesNo
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional DetailsFully managed, global cloud database on AWS, Azure, and GCPAll pricing plans are billed annually. A Creator license includes Tableau Desktop, Tableau Prep Builder, and Tableau Pulse. Discounts sometimes available for volume.
    More Pricing Information
    Community Pulse
    MongoDBTableau Desktop
    Considered Both Products
    MongoDB
    No answer on this topic
    Tableau
    Chose Tableau Desktop
    We preferred Tableau over Power BI due to its user-friendly interface and interactive GUI. Since we work with large datasets, we observed that Power BI can deal with only a limited amount of data when compared to Tableau which creates complex visualizations in a time-efficient …
    Incentivized
    Chose Tableau Desktop
    Looker has the benefit of being owned by Google and seamless interface with BigQuery. We didn't use BigQuery at the time, so the benefit wasn't realized. However, we are starting to use it more and more, and will be evaluating Looker again.

    The main drawback of Looker compared …
    Incentivized
    Chose Tableau Desktop
    The reason I selected Tableau desktop was because it is so easy to use. You can easily download it, there are a large number of tutorials provided by Tableau that you can use to familiarise yourself with the tool. The learning curve for Tableau is less. I personally had a …
    Incentivized
    Chose Tableau Desktop
    Tableau Desktop is powerful in terms of data sources and dashboarding creation. You can customize and fine-tune your graphics (color, size, text, tooltips and so on). You can make calculations on measures and dimensions. It's also has a cool geocoding function and maps layers.
    Incentivized
    Key User Insights
    Would buy again
    100%
    Would buy again
    12 Answers
    93%
    Would buy again
    52 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    12 Answers
    91%
    Delivers good value for the price
    50 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    12 Answers
    98%
    Happy with the feature set
    55 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    9 Answers
    93%
    Lived up to sales and marketing promises
    38 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    12 Answers
    100%
    Implementation went as expected
    44 Answers
    Features
    MongoDBTableau Desktop
    NoSQL Databases
    Comparison of NoSQL Databases features of MongoDB and Tableau Desktop
    Feature
    MongoDB
    10.0
    39 Ratings
    16% above category average
    Tableau Desktop
    -
    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
    BI Standard Reporting
    Comparison of BI Standard Reporting features of MongoDB and Tableau Desktop
    Feature
    MongoDB
    -
    Ratings
    Tableau Desktop
    8.5
    175 Ratings
    4% above category average
    Pixel Perfect reports00 Ratings8.0145 Ratings
    Customizable dashboards00 Ratings9.2174 Ratings
    Report Formatting Templates00 Ratings8.1151 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of MongoDB and Tableau Desktop
    Feature
    MongoDB
    -
    Ratings
    Tableau Desktop
    8.5
    172 Ratings
    6% above category average
    Drill-down analysis00 Ratings8.6167 Ratings
    Formatting capabilities00 Ratings8.6170 Ratings
    Integration with R or other statistical packages00 Ratings8.1126 Ratings
    Report sharing and collaboration00 Ratings8.6165 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of MongoDB and Tableau Desktop
    Feature
    MongoDB
    -
    Ratings
    Tableau Desktop
    8.5
    166 Ratings
    3% above category average
    Publish to Web00 Ratings8.1155 Ratings
    Publish to PDF00 Ratings8.2154 Ratings
    Report Versioning00 Ratings8.6120 Ratings
    Report Delivery Scheduling00 Ratings8.6128 Ratings
    Delivery to Remote Servers00 Ratings8.978 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of MongoDB and Tableau Desktop
    Feature
    MongoDB
    -
    Ratings
    Tableau Desktop
    8.4
    164 Ratings
    5% above category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings8.7162 Ratings
    Location Analytics / Geographic Visualization00 Ratings8.6156 Ratings
    Predictive Analytics00 Ratings8.7131 Ratings
    Pattern Recognition and Data Mining00 Ratings7.87 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of MongoDB and Tableau Desktop
    Feature
    MongoDB
    -
    Ratings
    Tableau Desktop
    9.1
    149 Ratings
    7% above category average
    Multi-User Support (named login)00 Ratings9.1145 Ratings
    Role-Based Security Model00 Ratings9.1125 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings8.9136 Ratings
    Report-Level Access Control00 Ratings9.110 Ratings
    Single Sign-On (SSO)00 Ratings9.383 Ratings
    Mobile Capabilities
    Comparison of Mobile Capabilities features of MongoDB and Tableau Desktop
    Feature
    MongoDB
    -
    Ratings
    Tableau Desktop
    7.9
    141 Ratings
    2% above category average
    Responsive Design for Web Access00 Ratings8.6130 Ratings
    Mobile Application00 Ratings7.5101 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile00 Ratings7.5122 Ratings
    Application Program Interfaces (APIs) / Embedding
    Comparison of Application Program Interfaces (APIs) / Embedding features of MongoDB and Tableau Desktop
    Feature
    MongoDB
    -
    Ratings
    Tableau Desktop
    7.7
    67 Ratings
    1% below category average
    REST API00 Ratings8.459 Ratings
    Javascript API00 Ratings7.653 Ratings
    iFrames00 Ratings6.751 Ratings
    Java API00 Ratings8.048 Ratings
    Themeable User Interface (UI)00 Ratings7.154 Ratings
    Customizable Platform (Open Source)00 Ratings8.448 Ratings
    Best Alternatives
    MongoDBTableau Desktop
    Small Businesses
    IBM Cloudant
    Score7.4 out of 10
    Cyfe
    Score4 out of 10
    Medium-sized Companies
    IBM Cloudant
    Score7.4 out of 10
    Qlik Cloud Analytics (Qlik Sense)
    Score8.1 out of 10
    Enterprises
    IBM Cloudant
    Score7.4 out of 10
    Sisense
    Score6.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    MongoDBTableau Desktop
    Likelihood to Recommend
    10.0
    (79 ratings)
    9.1
    (204 ratings)
    Likelihood to Renew
    10.0
    (67 ratings)
    7.5
    (41 ratings)
    Usability
    10.0
    (15 ratings)
    8.4
    (73 ratings)
    Availability
    9.0
    (1 ratings)
    10.0
    (11 ratings)
    Performance
    -
    (0 ratings)
    8.0
    (10 ratings)
    Support Rating
    9.6
    (13 ratings)
    1.0
    (57 ratings)
    In-Person Training
    -
    (0 ratings)
    9.4
    (4 ratings)
    Online Training
    -
    (0 ratings)
    8.0
    (5 ratings)
    Implementation Rating
    8.4
    (2 ratings)
    8.0
    (34 ratings)
    Configurability
    -
    (0 ratings)
    7.0
    (3 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    8.4
    (115 ratings)
    Data Sources
    -
    (0 ratings)
    7.9
    (115 ratings)
    Ease of integration
    -
    (0 ratings)
    10.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    9.0
    (4 ratings)
    Vendor post-sale
    -
    (0 ratings)
    10.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    MongoDBTableau Desktop
    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
    Tableau
    The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).
    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
    Tableau
    • An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
    • Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.
    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
    Tableau
    • Pricing should be more user-friendly and usage-driven
    • Making edits to the production reports is fairly tough and has a vast scope of additional capabilities
    • Tableau Desktop should be able to differentiate itself from the Tableau server else there is no major meaning of two different products being offered
    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
    Tableau
    Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.
    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
    Tableau
    Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.
    Read full review
    Reliability and Availability
    MongoDB
    No answers on this topic
    Tableau
    When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.
    Read full review
    Performance
    MongoDB
    No answers on this topic
    Tableau
    Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast
    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
    Tableau
    Tableau support has been extremely responsive and willing to help with all of our requests. They have assisted with creating advanced analysis and many different types of custom icons, data formatting, formulas, and actions embedded into graphs. Tableau offers a weekly presentation of features and assists with internal company projects.
    Incentivized
    Read full review
    In-Person Training
    MongoDB
    No answers on this topic
    Tableau
    It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.
    Read full review
    Online Training
    MongoDB
    No answers on this topic
    Tableau
    I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems
    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
    Tableau
    Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.
    Incentivized
    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
    Tableau
    I have used Power BI as well, the pricing is better, and also training costs or certifications are not that high. Since there is python integration in Power BI where I can use data cleaning and visualizing libraries and also some machine learning models. I can import my python scripts and create a visualization on processed data.
    Incentivized
    Read full review
    Scalability
    MongoDB
    No answers on this topic
    Tableau
    Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.
    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
    Tableau
    • Tableau was acquired years ago, and has provided good value with the content created.
    • Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
    • Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.
    Incentivized
    Read full review
    ScreenShots

    MongoDB Screenshots

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