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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

    Treasure AI

    Score9 out of 10
    Mid-Size Companies (51-1,000 employees)
    Treasure AI is an enterprise customer data platform (CDP) that reclaims customer-centricity in the age of the digital customer. It does this by connecting all data and uniting teams and systems into one customer data platform to power purposeful engagements.N/A
    Pricing
    MongoDBTreasure AI
    Editions & Modules
    Shared
    $0
    per month
    Serverless
    $0.10million reads
    million reads
    Dedicated
    $57
    per month
    No answers on this topic
    Offerings
    Pricing Offerings
    MongoDBTreasure AI
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeOptional
    Additional DetailsFully managed, global cloud database on AWS, Azure, and GCP—
    More Pricing Information
    Community Pulse
    MongoDBTreasure AI
    Considered Both Products
    MongoDB
    No answer on this topic
    Treasure AI
    Chose Treasure AI
    We chose Treasure Data for the supreme customer service and lack of hidden costs. We don't need to manage any infrastructure or scale anything to meet customer demand. Treasure Data handles everything and makes it easy for us to integrate and focus on the tasks at hand. There …
    Incentivized
    Chose Treasure AI
    Different use cases for the other products, but TD handles analytics workloads better than the other products.
    Incentivized
    Chose Treasure AI
    Much better to not have to manage our own request processing
    Incentivized
    Chose Treasure AI
    While each product has its own strengths and weaknesses, Treasure Data handles big data the best and in a scalable way.
    Incentivized
    Chose Treasure AI
    We still use all of the above. They are part of an ecosystem of data software products and each of them has its own purpose. As I mentioned before, easiness of "writes" to TD and the capability of querying vast amounts of data in a reasonable time are a reason we will not be …
    Incentivized
    Chose Treasure AI
    None of the competitors we looked at could deliver the exact solution we were looking for. Treasure Data was the best solution for our big data needs.
    Incentivized
    Key User Insights
    Would buy again
    100%
    Would buy again
    12 Answers
    100%
    Would buy again
    10 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    12 Answers
    100%
    Delivers good value for the price
    9 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    12 Answers
    100%
    Happy with the feature set
    10 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
    8 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    12 Answers
    100%
    Implementation went as expected
    9 Answers
    Features
    MongoDBTreasure AI
    NoSQL Databases
    Comparison of NoSQL Databases features of MongoDB and Treasure AI
    Feature
    MongoDB
    10.0
    39 Ratings
    16% above category average
    Treasure AI
    -
    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
    MongoDBTreasure AI
    Small Businesses
    IBM Cloudant
    Score7.4 out of 10
    Twilio Segment
    Score8.4 out of 10
    Medium-sized Companies
    IBM Cloudant
    Score7.4 out of 10
    Adobe Real-Time CDP
    Score8.3 out of 10
    Enterprises
    IBM Cloudant
    Score7.4 out of 10
    Tealium Customer Data Hub
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    MongoDBTreasure AI
    Likelihood to Recommend
    10.0
    (79 ratings)
    9.0
    (89 ratings)
    Likelihood to Renew
    10.0
    (67 ratings)
    9.1
    (5 ratings)
    Usability
    10.0
    (15 ratings)
    8.0
    (4 ratings)
    Availability
    9.0
    (1 ratings)
    9.1
    (1 ratings)
    Performance
    -
    (0 ratings)
    8.2
    (1 ratings)
    Support Rating
    9.6
    (13 ratings)
    8.2
    (7 ratings)
    In-Person Training
    -
    (0 ratings)
    6.4
    (1 ratings)
    Online Training
    -
    (0 ratings)
    7.3
    (1 ratings)
    Implementation Rating
    8.4
    (2 ratings)
    6.4
    (2 ratings)
    Configurability
    -
    (0 ratings)
    7.3
    (1 ratings)
    Ease of integration
    -
    (0 ratings)
    9.1
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    9.1
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    7.3
    (2 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    7.4
    (2 ratings)
    User Testimonials
    MongoDBTreasure AI
    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
    Treasure AI
    Treasure Data is well suited to integrating multiple data sources, including online and digital sources. It is also well suited to trigger audience activations to known customers based on their online activity, integrating 3rd party data, and activating target audiences to ad platforms.
    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
    Treasure AI
    • CDP provides a unified view of data from all touchpoints in the customer journey until a single customer uses the service. This feature is very helpful in making service decisions and direction.
    • It provides a variety of extensions to bring your data together in one place and helps you do this easily.
    • Kits provided by Treasure Box provide basic but helpful methods for further development of services.
    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
    Treasure AI
    • Documentation is not always fully update --> better off reaching to support for some topics that are not covered
    • Small bugs on the graphical user interface
    • If 2 people are editing on the same project simultaneously, the latter that saves the workflow overwrites the changes of the former one
    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
    Treasure AI
    I do think that we definitely will be renewing. We are putting major resources, time, and effort into Treasure Data becoming an extension of our organization, in many ways. We are working toward complete synergies with this product and leadership is very excited about the direction we are heading to be completely customer-centric.
    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
    Treasure AI
    It's a easy platform to use and give the user detailed logs about what is going on in the workflows, so someone that do not have a lot of experience can start to work with it. And also the master segment usability is awesome, as we can filter a lot of data the way we want.
    Incentivized
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    Reliability and Availability
    MongoDB
    No answers on this topic
    Treasure AI
    As treasure data has a 24 hours support, every time we has big issues that impacts the zones, we do have immediatly support from the treasure data team, so I would say that we do not have any issues with availability
    Incentivized
    Read full review
    Performance
    MongoDB
    No answers on this topic
    Treasure AI
    Since treasure data has started having a huge amount of data, sometimes we do have problems with the workflows logs because we generate a lot of then. But with integrations I have not to complain, its really easy to integrate with other platforms.
    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
    Read full review
    Treasure AI
    The technical team has a good hold on the nuances of the data related to our organization. I have found the online technical support on their site quite responsive including the L1 support. In cases where the L1 team isn't able to resolve, I have found they are prompt in getting the product team's input to get a quick resolution.
    Incentivized
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    In-Person Training
    MongoDB
    No answers on this topic
    Treasure AI
    I was not here when treasure data was implemented to our company.
    Incentivized
    Read full review
    Online Training
    MongoDB
    No answers on this topic
    Treasure AI
    I wasnt here at the training in the start, but I had a few training with treasure data for a few functionalities, and they provided me god explanations and great documentations, eve if the project were in beta.
    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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    Treasure AI
    Implementation was quick and our developers had very few issues with the SDK.
    Incentivized
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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.
    Read full review
    Treasure AI
    We chose Treasure Data for the supreme customer service and lack of hidden costs. We don't need to manage any infrastructure or scale anything to meet customer demand. Treasure Data handles everything and makes it easy for us to integrate and focus on the tasks at hand. There may be cheaper options but we do not regret our decision to go with Treasure Data one bit.
    Incentivized
    Read full review
    Scalability
    MongoDB
    No answers on this topic
    Treasure AI
    In abi we do have a lot of data coming every day, so treasure data always give us god solutions and options that would fix the problem.
    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
    Treasure AI
    • We have built and supported our source of truth data tables using Treasure. This forms the foundation of our decision making.
    • Most of our Tableau data sources are created using a Treasure Data export which is executed by workflows on a daily basis which allows us to have visibility into day to day performance and communicate them to a wide variety of roles.
    • We load custom data into our Salesforce instance which allows us to trigger certain workflows and build accountability - i.e. a "Sale" will only count once a certain product driven event occurs which comes from data we pipe into Treasure and then into Salesforce.
    Incentivized
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    ScreenShots

    MongoDB Screenshots

    Product screenshotProduct screenshotProduct screenshotProduct screenshotProduct screenshotProduct screenshot

    Treasure AI Screenshots

    Screenshot of some of the out of the box integrations across advertising, CRM, databases, eCommerce, machine learning and more.Screenshot of the query toolsScreenshot of the audience builder