KNIME enables users to analyze, upskill, and scale data science without any coding. The platform that lets users blend, transform, model and visualize data, deploy and monitor analytical models, and share insights organization-wide with data apps and services.
$0
per month
Logi Info (Logi Analytics Platform)
Score 5.5 out of 10
Mid-Size Companies (51-1,000 employees)
Logi Info (or the Logi Analytics Platform) is a developer-grade analytics platform designed for application teams needing to rapidly build, deploy, and maintain mission-critical applications. Logi serves the embedded model, so companies increase the
likelihood of building valuable, long lasting applications. The vendor focuses on enriching embedded analytics
capabilities so that their customers' applications become more valuable, faster. According to the vendor, Logi allows customers to…
N/A
Pricing
KNIME Analytics Platform
Logi Info (Logi Analytics Platform)
Editions & Modules
KNIME Community Hub - Individual
$0
KNIME Community Hub - Team
From €250
per month Starts from 3 users
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Offerings
Pricing Offerings
KNIME Analytics Platform
Logi Info (Logi Analytics Platform)
Free Trial
Yes
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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Logi's pricing was developed with software vendors in mind and as such, we offer flexible, custom pricing aligned with your go-to-market approach and long-term growth plans. Our pricing objective is to ensure our partners can rapidly scale their analytics.
KNIME Analytics Platform is excellent for people who are finding Excel frustrating, this can be due to errors creeping in due to manual changes or simply that there are too many calculations which causes the system to slow down and crash. This is especially true for regular reporting where a KNIME Analytics Platform workflow can pull in the most recent data, process it and provide the necessary output in one click. I find KNIME Analytics Platform especially useful when talking with audiences who are intimidated by code. KNIME Analytics Platform allows us to discuss exactly how data is processed and an analysis takes place at an abstracted level where non-technical users are happy to think and communicate which is often essential when they are subject matter experts whom you need for guidance. For experienced programmers KNIME Analytics Platform is a double-edged sword. Often programmers wish to write their own code because they are more efficient working that way and are constrained by having to think and implement work in nodes. However, those constraints forcing development in a "KNIME way" are useful when working in teams and for maintenance compared to some programmers' idiosyncratic styles.
Well Suited - It's very easy for a non-developer to make clear/easily understood important data displays Great options for displaying data, UI provides great assistance helping you determine what chart, graph etc., to utilize for peak output. Saves tons of developer hours by allowing non-developers to be able to create and design things. Less Suited - It's not a big fan of displaying 1000 page PDFs but with adequate setup and drill downs, you can turn that huge PDF into 2 pages of what you actually need.
The ability to easily integrate data across multiple data platforms
The product is easy to implement and learn
The elemental design allows for recycling of concepts and features across various reports and output
The security was easy to implement into our existing environment
The number of options available for data manipulation and presentation, including Scheduling and Caching data, makes it easy to solve any problem or create content for any request
Logi's Support Portal staff are absolutely top notch. They are responsive and knowledgeable. Due to the elemental design (see above), it is easy to communicate concepts to and from Logi Support via code samples and/or sample applications. The sample applications which we have received from Logi Support have formed some of the core concepts of our Logi Developer training!
Logi Studio is currently only available on Windows. I understand the backend is ASP.net but it would be nice to have more flexibility in this given their software can also be java-based (we run their software on a Linux server using java).
Logi Info keeps all files as XML, which is fine and actually helps in terms of scripting report creation. The issue is that the majority of settings can only live on a server instead of a database. They do allow reports to now live in a database, but other aspects (such as users saving bookmarks and reports) cannot be and are all saved directly on the server.
We are happy with Knime product and their support. Knime AP is versatile product and even can execute Python scripts if needed. It also supports R execution as well; however, it is not being used at our end
Logi Analytics is a great solution if you need just the user interface. However there are other tools stronger at the overall data flow which include a user interface as part of their product.
KNIME Analytics Platform offers a great tradeoff between intuitiveness and simplicity of the user interface and almost limitless flexibility. There are tools that are even easier to adopt by someone new to analytics, but none that would provide the scalability of KNIME when the user skills and application complexity grows
I am giving 9 rating because the Logi Info still needs to improve on the tutorials part and make it easy for the beginners. Otherwise, it's a very good analytics tool which offers more than 20 types of visualization. It's predictive analysis feature and easy to embed with technologies make it stand out in the market.
KNIME's HQ is in Europe, which makes it hard for US companies to get customer service in time and on time. Their customer service also takes on average 1 to 2 weeks to follow up with your request. KNIME's documentation is also helpful but it does not provide you all the answers you need some of the time.
The support process is bit slow and has a good scope improvement but overall it's good as team is very supportive. They generally take 1-2 days time to respond emails sent to them but some times a delay is also expected. Overall, I did not face any major issues using the service.
KNIME Analytics Platform is easy to install on any Windows, Mac or Linux machine. The KNIME Server product that is currently being replaced by the KNIME Business Hub comes as multiple layers of software and it took us some time to set up the system right for stability. This was made harder by KNIME staff's deeper expertise in setting up the Server in Linux rather than Windows environment. The KNIME Business Hub promises to have a simpler architecture, although currently there is no visibility of a Windows version of the product.
Having used both the Alteryx and [KNIME Analytics] I can definitely feel the ease of using the software of Alteryx. The [KNIME Analytics] on the other hand isn't that great but is 90% of what Alteryx can do along with how much ease it can do. Having said that, the 90% functionality and UI at no cost would be enough for me to quit using Alteryx and move towards [KNIME Analytics].
It can be embedded on top of a website for direct analysis. I feel this is a way faster and a better solution. This is like an integrated solution. That's why the firm selected Logi Analytics for quick insights on customer behavior and data.
It is suited for data mining or machine learning work but If we're looking for advanced stat methods such as mixed effects linear/logistics models, that needs to be run through an R node.
Thinking of our peers with an advanced visualization techniques requirement, it is a lagging product.
Our Chief Operations Officer has commented several times about how important LOGI has been in identifying opportunities for us to work on, and key areas to focus on to improve revenue generation
We have used LOGI to automate work processes that used to be paper-based.
We've filled in holes in work processes, and freed up work hours allowing people to focus on more important daily tasks.
