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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Magnolia

    Score9.9 out of 10
    Mid-Size Companies (51-1,000 employees)
    Founded in Switzerland in 1997, Magnolia is a CMS used to build composable digital experiences. Magnolia helps create fully integrated customer experiences and speeds up digital delivery of content. Magnolia boasts 480 enterprise customers, thousands of Community Edition deployments, and more than 200 certified Magnolia Partners around the world. They further state that their enterprise customers include Sanofi, Generali, the Atlassian, The New York Times, Harley Davidson, and Union…

    $3,500

    per month

    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
    MagnoliaTreasure AI
    Editions & Modules
    DX Core
    $3500
    per month
    DX Cloud
    $6000
    per month
    No answers on this topic
    Offerings
    Pricing Offerings
    MagnoliaTreasure AI
    Free Trial
    YesNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo setup feeOptional
    Additional Details——
    More Pricing Information
    Community Pulse
    MagnoliaTreasure AI
    Considered Both Products
    Magnolia
    No answer on this topic
    Treasure AI
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    58 Answers
    100%
    Would buy again
    10 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    49 Answers
    100%
    Delivers good value for the price
    9 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    58 Answers
    100%
    Happy with the feature set
    10 Answers
    Lived up to sales and marketing promises
    98%
    Lived up to sales and marketing promises
    39 Answers
    100%
    Lived up to sales and marketing promises
    8 Answers
    Implementation went as expected
    98%
    Implementation went as expected
    53 Answers
    100%
    Implementation went as expected
    9 Answers
    Features
    MagnoliaTreasure AI
    Security
    Comparison of Security features of Magnolia and Treasure AI
    Feature
    Magnolia
    8.1
    69 Ratings
    2% below category average
    Treasure AI
    -
    Ratings
    Role-based user permissions8.169 Ratings00 Ratings
    Platform & Infrastructure
    Comparison of Platform & Infrastructure features of Magnolia and Treasure AI
    Feature
    Magnolia
    8.1
    68 Ratings
    4% above category average
    Treasure AI
    -
    Ratings
    API8.561 Ratings00 Ratings
    Internationalization / multi-language7.761 Ratings00 Ratings
    Web Content Creation
    Comparison of Web Content Creation features of Magnolia and Treasure AI
    Feature
    Magnolia
    8.0
    74 Ratings
    2% above category average
    Treasure AI
    -
    Ratings
    WYSIWYG editor8.565 Ratings00 Ratings
    Code quality / cleanliness8.465 Ratings00 Ratings
    Admin section8.070 Ratings00 Ratings
    Page templates8.972 Ratings00 Ratings
    Library of website themes7.01 Ratings00 Ratings
    Mobile optimization / responsive design8.563 Ratings00 Ratings
    Publishing workflow7.573 Ratings00 Ratings
    Form generator6.958 Ratings00 Ratings
    Web Content Management
    Comparison of Web Content Management features of Magnolia and Treasure AI
    Feature
    Magnolia
    7.5
    69 Ratings
    0% below category average
    Treasure AI
    -
    Ratings
    Content taxonomy7.663 Ratings00 Ratings
    SEO support7.263 Ratings00 Ratings
    Bulk management7.657 Ratings00 Ratings
    Availability / breadth of extensions7.962 Ratings00 Ratings
    Community / comment management6.951 Ratings00 Ratings
    Best Alternatives
    MagnoliaTreasure AI
    Small Businesses
    Umbraco CMS
    Score7 out of 10
    Twilio Segment
    Score8.4 out of 10
    Medium-sized Companies
    Square Online
    Score7.7 out of 10
    Adobe Real-Time CDP
    Score8.3 out of 10
    Enterprises
    RWS Tridion Sites
    Score9 out of 10
    Tealium Customer Data Hub
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    MagnoliaTreasure AI
    Likelihood to Recommend
    8.1
    (78 ratings)
    9.0
    (89 ratings)
    Likelihood to Renew
    8.1
    (9 ratings)
    9.1
    (5 ratings)
    Usability
    8.0
    (68 ratings)
    8.0
    (4 ratings)
    Availability
    -
    (0 ratings)
    9.1
    (1 ratings)
    Performance
    8.5
    (67 ratings)
    8.2
    (1 ratings)
    Support Rating
    9.1
    (3 ratings)
    8.2
    (7 ratings)
    In-Person Training
    -
    (0 ratings)
    6.4
    (1 ratings)
    Online Training
    8.2
    (1 ratings)
    7.3
    (1 ratings)
    Implementation Rating
    -
    (0 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
    MagnoliaTreasure AI
    Likelihood to Recommend
    Magnolia
    Magnolia is a very capable DXP, that provides client with lots of flexibility in composing its own stack. While the core of the platform is a content management system, the open architecture of Magnolia DXP allows it to connect to any platform, allowing client to extend the capabilities. One scenario would be a centralized content hub - where through a single platform, content authors can choose which channel to distribute what content. For example, long form content for consumers viewing on a laptop, short form content for those using a mobile browser. This allow the client to personalized the experience based on channels. Another scenarios would be leveraging on GenAI - using Magnolia's built-in connector to ChatGPT. If that is not the service that one desire, you can always connect to another AI service such as Google Gemini. With GenAI, connected, content author can use AI as co-pilot to help them scale up their content production.
    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
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    Pros
    Magnolia
    • Speed of development - time to delivery from zero to MVP was excellent
    • Ease of use - the authoring experience is very easy to build and train
    • PAAS/SAAS - the managed service platform removed the traditional overhead of running in-house technologies, meaning we could focus on value add, with less time spent keeping the lights on.
    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
    Magnolia
    • The documentation provides samples that are often out of context, and difficult to know where the provided example code should be implemented. More tutorials providing the full project or step-by-step instructions on how to implement subject material would help greatly. Baeldung is a resource I would consider the gold standard in how this is done in other spaces.
    • The use of JCR and Nodes makes object serialization/deserialization painful. Jackson compatibility or similar would be a welcome enhancement to the developer experience. Maybe leveraging code-gen from light modules to build model classes when possible could help accomplish this.
    • Modifying the home layout from light modules is frustrating. It seems that any configuration overrides made merge with the default rather than overwriting, which makes for a difficult combination of guess-and-check while referencing the documentation to see what should be in each row/column when making changes.
    • Including "mark all as read" or "delete all" in the notifications app would be a great quality of life improvement. It seems that by default, users have to individually select messages and operate them.
    Incentivized
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    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
    Magnolia
    We have invested a lot of time and energy into tailoring a solution that works for the company.
    We think the new features in v6.2 will help us get to the next level
    We also don't have the resources to rebuild a website platform from scratch even if we wanted to
    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
    Magnolia
    We've shown it to a number of users both clients and our own team and despite initial apprehensions, they "get it" very quickly. It's intuitive and friendly and quick to perform daily tasks. We once had a client tell us "Using Magnolia makes me smile" which says it all for us.
    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
    Read full review
    Reliability and Availability
    Magnolia
    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
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    Performance
    Magnolia
    I gave [it] 7/10 only because of the loading time of pages. Otherwise, I think it deserves an 8. Normally this is not an issue per [se] but considering the rating matrix and as I have been asked to honestly write about it. Yes, the page loading times could be improved.
    Read full review
    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
    Magnolia
    You always get an answer based on your SLA. But you always get a solution. That's the successfactor in this case. To often i was frustrated about people in a company without even a clue what there product is about or how to solve a problem. Magnolia's Support Team does a very good job and try to help you in most of the cases
    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
    Read full review
    In-Person Training
    Magnolia
    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
    Magnolia
    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
    Magnolia
    No answers on this topic
    Treasure AI
    Implementation was quick and our developers had very few issues with the SDK.
    Incentivized
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    Alternatives Considered
    Magnolia
    I've used several CMSs like AEM and EpiServer, and comparatively, they all excel at different things. Magnolia is the best to develop for/against. Episerver has the best/most fluid UI in terms of content editing, and the overall admin experience AEM is just all around sucks.
    Incentivized
    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
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    Scalability
    Magnolia
    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
    Magnolia
    • Magnolia has brought about positive impacts. For instance, we need not outsource web design and marketing services because thanks to this software, we can handle most work inhouse
    • The software is affordable with no compromises on capabilities and therefore it is gives us value for money.
    • The templates makes the whole process easy
    Incentivized
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    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
    Read full review
    ScreenShots

    Magnolia Screenshots

    Screenshot of the Magnolia App Launcher, used to switch between workspaces and manage pagesScreenshot of the customer experience. This brings together content and audiovisual digital assets to form more compelling digital experiences.Screenshot of global search that brings relevant content, no matter where it resides.Screenshot of customizing the ecommerce experience.Screenshot of Magnolia Orchestratem where users can manage and track campaignsScreenshot of the WYSIWYG page editor

    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