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
Sysomos, now part of Meltwater
Score9.5 out of 10
N/A
Sysomos was a social media listening and marketing solution for content discovery, planning, publishing, moderation, and analytics. Sysomos was acquired by Meltwater, and is no longer available, but the features of the former Sysomos are now part of the Meltwater platform.
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.
Sysomos Expion is best suited, in my opinion, to offices where either you have only one moderator/manager OR where multiple users plan to manage a specific channel. Without live updates, it gets far too complicated for multiple users to manage the exact same workload
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
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.
Ad-hoc research. During planning phase of a campaign it is a helpful tool to understand the marketplace, key influencers and topics that engage a target demographic.
Post-event hashtag analysis. Rapid generation of reporting on efficacy of a campaign, key voices, topics that resonated, viral reach and more.
User interface. Friendly and accessible enough to minimize training needs and enable decentralized access, though we have found some hand-holding is still required to get the most out of the platform.
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
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
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
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
There are two differentiating features that Sysomos MAP has that the competitor tools I have experienced (Radian6, Meltwater Buzz) did not: user-friendly Boolean queries for searches and near-real-time results. The former is important because, of course, your results are only as good as your search/campaign. With Sysomos, once you master Boolean queries (which isn't terribly difficult) you're set for creating any kind of listening report. I strongly prefer this to the "campaign creator" forms that other services provide. Second, Sysomos MAP returns results almost immediately - like a Google search. So if you get your results and see that you need to tweak your query - no big deal. Or if you have a last-minute request for a client - not an issue. Meltwater can take up to 48 hours for a search to fully populate. This is a major issue if you get your full set of results back and see that you need to adjust the query; you're looking at another two days of wait time. A long wait on results can also prove problematic in agency settings where clients or prospective clients often need results with a quick turnaround.
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
The product is very easy to use. The platform is visual and data is easy to read. Boolean construction can sometimes be difficult, but the boolean constructor tool is helpful for boolean beginners. For more experienced boolean constructors, the boolean display at the top is very helpful in identifying where there may be holes in the construction
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
Unfortunately, we have not had a great experience with customer support from Klear. In the sales process, they were very responsive and helpful, but when onboarded, it definitely changed. We are based in the US and our customer service rep is based in Israel, meaning our work hours barely overlap. Oftentimes we're waiting 24+ hours for a response, and when it's a time-sensitive issue (like the platform not pulling in Instagram Story data) we want it to be resolved as quickly as possible. Klear also has a chat feature for more immediate help, but we've experienced a similar situation there where it takes 12+ hours to get a response and it's usually from our customer service rep. Our rep is very nice, but also doesn't seem very knowledgeable about the platform, and usually can't provide an immediate answer to a question we ask and has to "check with her team."
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
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
We've used Sprout Social & Hootsuite in the past -- and they all stack up pretty evenly. Sysomos has the same features as Sprout or Hootsuite, except their reports and analytics are a little more detailed. Hootsuite has a better social media management software and dashboard though
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
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
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
