SnapLogic vs. Syndigo Content Experience Hub

Snaplogic is unique from other IPASS tools if you're very sensitive about data security as they have an on-premise option where your data never needs to leave your data center. And data pipelines can be quickly created if Snaplogic has the requisite connector to your data sources. On the downside, if you're transforming a large amount of data for example in training machine learning models, a tool with elastic compute capability is more appropriate.

Well suited for quick setup and ease of use. Synidgo does not have the ability to maintain cross-references such as family items, accessories, replacement parts, and collections. Implementing and maintaining custom taxonomies is challenging and time-consuming, I prefer using an in-house PIM. Syndigo does have the ability to identify discrepancies that do not meet standards.

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• Easy access to any type of source system. Data could be in any format.
• Very beautiful visual representation of transforms that makes it super easy to use it by any non developer.
• It can be run in cloud or on-premise. helping you choose your comfort of security.
• Has pretty good customer support and have recently started their community forum as well.

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• Easy set up.
• Efficient content syndication.
• Identify content that doesn't meet standards or has quality issues.

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• They need to have a way to connect to GitHub to allow the users to maintain their version control in GitHub. This is a missing functionality.
• As pipelines become complex, it's difficult to have all the snaps stitched together - just like to see it done differently.
• They do not have a way to start/stop a preview. This is hard to use, especially if you have to stop an accidental preview invocation.

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• Digital shelf analytics can provide more detail.
• No cross reference record.
• Unexplained errors causing syndication issues.

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This has been hands down the BEST software company I have ever used and dealt with. I am a 25 year IT veteran at this college. They go above and beyond in soliciting our feedback/input and proactively follow up about bugs, issues, etc. I have given multiple potential clients my thoughts and after seeing the SL demo they all sign up. I appreciate their support model, it's REFRESHING!

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It is very powerful but has a steep learning curve

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They can be prompt but they have not been as useful as I've wanted. We had a bug that affected many of our customers through an API connection between SnapLogic and our platform. Eventually they were able to figure it out, but it took a long time of negotiating between our engineering team and theirs. Additionally, we installed the SnapLogic groundplex for our customers and we've run into a bunch of problems of connectivity. If SnapLogic offered to be on those calls with our clients to troubleshoot how to fix these problems, I would give them a better grade here.

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The groundplex in our VPC is very nice for security reasons and the SnapLogic team was extremely helpful during our implementation

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We opted for SnapLogic due its ease of use and the flexibility it offers, it was the platform that was strongest in both application integration and data integration and both were use cases we wanted to be able to cover.

Similar offering to Salsify. I think Salsify has better digital shelf analytics. I think both do a good job rating overall content health at the SKU level. I think Syndigo has a more integrated API into various retailers and distributors. Both are quick and easy to set up and use. Syndigo does not have cross-reference ability.

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• We have cut development time down by at least 70%
• The software was more on the expensive side at renewal which required some further approvals to be sought for the spend
• More developers are able to build and use Snaplogic pipelines in their projects

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• Increased speed to market.
• Increased breadth of products available online.
• Improved content accuracy.

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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