The Dataiku platform unifies data work from analytics to Generative AI. It supports enterprise analytics with visual, cloud-based tooling for data preparation, visualization, and workflow automation.
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SnapLogic
Score 8.6 out of 10
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SnapLogic is a cloud integration platform with a self-service capacity supported by over 450 prebuilt modifiable connectors. SnapLogic also offers real-time and batch integration processes for interfacing with external data sources, a drag-and-drop interface, and use of the vendors’ Iris AI.
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Workato
Score 9.1 out of 10
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Workato is a cloud or on-premise automation and integration platform with enterprise-grade
capabilities and no coding required. Workato provides pre-built connectors to integrate with over 300
business applications and enables task automation across apps.
Both products were much more complicated to configure and get started with. With Workato, we had simple integrations set up and running without a couple of hours. With Jitterbit and SnapLogic it required some training just to evaluate it, and also required a lot of …
Dataiku is an awesome tool for data scientists. It really makes our lives easier. It is also really good for non technical users to see and follow along with the process. I do think that people can fall into the trap of using it without any knowledge at all because so much is automated, but I dont think that is the fault of Dataiku.
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.
Workato is brilliant to make separate applications work together without much effort or specialists being needed. When specific events on software A should trigger actions on B (or more) and you want that to happen without any development or big budgets, that's where Workato comes into play. It's a great help if you want tasks automated, communications flowing and data synced between different applications.
The Workato product interface is brilliantly thought through and designed. The learning curve for first timers is easy enough to get started and build useful things, and Workato really shines in their ability to handle complex triggers and interactions. Workato allows people to build software apps so much faster than by coding each functionality.
Workato has fantastic documentation, making things accessible without any holes in the product. The product just works, never has any bugs, never lags, and just generally allows us to see and change exactly what we need to.
Workato has an absolutely amazing support team. We tried the free version for a while, then realized it was the single most important software tool we have, and we upgraded. The support at the paid tier is A+, seriously the best from any company we've worked with. Feels more like a good friend then a support rep.
The integrated windows of frontend and backend in web applications make it cumbersome for the developer.
When dealing with multiple data flows, it becomes really confusing, though they have introduced a feature (Zones) to cater to this issue.
Bundling, exporting, and importing projects sometimes create issues related to code environment. If the code environment is not available, at least the schema of the flow we should be able to import should be.
Customer support - responsive, but often not equipped to help efficiently identify root cause of issue. Need to improve escalation to technical resources and turnaround time
Recipe organization and sharing. Can be challenging to copy recipes, or grab recipes from publicly available site. There are often dependencies and errors that have vague descriptions.
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!
The user experience is very good. Everything feels intuitive and "flows" (sorry excuse the pun) so nicely, and the customization level is also appropriate to the tool. Even as a newer data scientist, it felt easy to use and the explanations/tutorials were very good. The documentation is also at a good level
The sheer work Workato eliminates from people's daily jobs is simply a great contribution to people's productivity and a boost to capability. It actually strikes the balance between business and tech teams. It also reduces dependency on developers, and speeds up their delivery too. The only reason it's not a full 10/10 is for the price - it's a bit expensive for what we'd like, and their batch or high data volume processing can be improved.
The open source user community is friendly, helpful, and responsive, at times even outdoing commercial software vendors. Documentation is also top notch, and usually resolves issues without the need for human interactions. Great product design, with a focus on user experience, also makes platform use intuitive, thus reducing the need for explicit support.
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.
They employ an extremely knowledgeable team of problem solvers. I've never had a disappointing interaction or one that has left me still searching for answers. I know that when I ask for help, they'll partner with me until we find a solution together
We discovered that we could not use Workato for our more complex, large enterprise integrations. It was useful for simple workflows that matched the prebuilt recipes.
Anaconda is mainly used by professional data scientists who have profound knowledge of Python coding, mainly used for building some new algorithm block or some optimization, then the module will be integrated into the Dataiku pipeline/workflow. While Dataiku can be used by even other kinds of users.
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.
We already used Zapier, but since it doesn't support NetSuite we had to choose another automation platform. Now that we've been using Workato for a few months, we have plans to move the stuff we're going through Zapier to Workato. We set up a trial account with all the other platforms, and they were all more expensive and A LOT more complicated than Workato.
As business consultants, Workato has greatly improved our offerings to our clients as well as improved the time frame to implement automated workflows and integrations.
For our clients, the return on investment is almost immediate. Once a Workato recipe is up and running (which can be done very fast), data is integrating, duplicate data entry and user errors are eliminated, and cross-company KPI metrics are easier to report than ever.
