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
Phrase
Score8.6 out of 10
Small Businesses (1-50 employees)
Phrase is a Language Intelligence provider. Its enterprise platform automates, manages, and delivers multilingual content. Global brands use Phrase across hundreds of languages to reduce time to market and deliver consistent brand experiences worldwide. The Phrase Platform brings together translation management, software localization, multimedia localization, machine translation, workflow automation, and language AI in a single integrated environment. From marketing…
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.
The system is well suited if you also run Trados or any second system. As the system is very expensive and the use of MTUs is rather complicated to understand the best thing is to run most larger projects through Trados or any other CAT tool and then to import it. Large projects are expensive in Phrase Localization Platform so I would recommend it if you have small projects and have enough capacity to carefully check the terminology as the data pulled from the term base is inconsistent. The same applies to the find replace feature which can work great.
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.
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
In the case of EN to JA translation, we enter text and then convert it to get the correct final text (word or phrase) which uses correct Chinese character(s), as there are often multiple Chinese characters with the same reading but different meanings. When those conversion options are displayed, it is usually possible to change our selection among them by hitting the Tab key, but in Phrase, hitting the Tab key makes us leave the text conversion and move to the source segment, so we must make sure to use arrow keys to choose the right conversion option when using Phrase.
When there are tag elements used in the source text, the tags must exist in the target text of course, but the tag order also must be the same. The tags cannot be moved around in the segment, which causes problems in the case of the Japanese language, because the word order differs between EN and JA.
In the Japanese language, Italics are basically not used, so there must be no texts between the tags which specify Italic font. But then the segment cannot be confirmed and the job status cannot be changed to "Complete".
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I use and manage an Academic edition (approx. 15 students) and the corporate license (10 users). In both cases, the features are easy to find, set and use. My students and my translators understand the dynamics of the platform easily and get used to them quickly.
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
It is designed to be a lean system, but that means that things are clustered in weird groups and a lot of trial and error is involved getting the settings right. If something goes wrong first level support is very quick and has very fast answers which are quite typical of first level support and essentially equate to asking you if you have switched it off and on yet. Anything more involved is challenging for support to address.
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.
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
We rarely use support, but most questions were answered in a timely fashion, although we didn't exactly find them satisfactory. That's mostly the fault of the software and not the Support team because we asked for things that Phrase couldn't do.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Phrase has a very good user interface that people can quickly learn and start using. Also, its analysis features are top class which helps me provide a detailed estimate to my client based on the file particulars. It has a QA feature that helps me do a very high-quality check before I send out my translation to the client.
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info