- Exceptional leveraging of data storytelling. Data storytelling is the ability to tell stories with your data and to personalize the data seen according to the audience.
- While the other tools have a closed pricing structure, Toucan offers insights into cost and returns with its ROI calculator to increase the transparency of the buying process.
- The reason Toucan hasn't got a score of 100 is due to its constraints of design and diversity of alerts. Even with customization, after building 10 apps, the 11th one starts to look similar to the others. But if you are looking for one solution that can do it all and sits on top of the embed market, it is Toucan. Play around with the platform by requesting a free demo here.
Who it's for
- Simple intuitive platform backed
- Great support
- Communicates data effectively through features like data sharing
- Variety of visualizations along with the transparency of pricing. The pricing just seems underhanded. A mandatory $10k cost for a 2-month onboarding, which quickly jumps to $60k if there are more than 10 users.
- Compared to all other tools on this list, Looker offers the least amount of customization and data visualization options.
- This also means the inability to white label your analytics, which limits its usage and the benefits it can provide for user-centric products.
- Though it isn't always a major issue, the column and row limitations make scaling difficult for fast-growing companies with large data sets.
Who it's for
You have to be a data analyst at the least to be able to manipulate and visualize data on Looker. Looker is proud of the technical complexities of its platform, which means that it won't be accessible or easy to use for non-technical users any time soon.
Being a well-known name in the embedded analytics industry, it is no shock that Sisense comes in 3rd place. The data analytics offering by Sisense allows you to easily prepare, analyze & explore growing data. Sisense includes data compartmentalization, visualizations, plug-ins, segregated data ownership, and an AI-driven platform.
- Amazing for new users and beginners with its quick functions and numerous plugins.
- An intuitive platform that any novice could navigate and create the basic data visualizations that they are looking for.
- It is Tough to add and remove users or collaborate with other team members. Since users have to take responsibility for folders, if one of them is away or unavailable, the whole team comes to a halt.
- The platform really beings to show its cracks while processing large data sets, as several fields are named the same making identification and categorization nearly impossible.
Who it's for
Though Sisense is advertised as an easy-to-use platform, it gets complicated pretty quickly. You would need a dedicated systems manager to keep track of different folders and data ownerships. So the larger the organization gets, the more difficult Sisense becomes to operate.
Qlik Sense lands itself in 4th place. It outranks its predecessor Qlik View by being a dynamic self-service platform capable of processing large datasets of information. It is marketed as an analytics solution that creates reports and gets business insights without any unnecessary downloads. Qlik Sense offers white-labeled visualizations, exportable reports, unique language, and self-learning videos.
- It does not require a lot of coding making it suitable for admin and non-technical users.
- Its multi-source data import combines information from different data sources to give you a single seamless visualization.
- Being a self-service platform there are numerous self-learning videos used to familiarize users with the platform.
- The reason it finds itself in the 4th spot is primarily due to support.
- Since Qlik Sense is a NoSQL platform that implements its own language and naming system, the learning curve is extremely steep. It takes time to master, forcing a new naming system on its users for the same, if not lesser, benefits than the top three solutions on this list.
Who it's for
Qilk Sense is made for a unique market, a non-technical user who has enough technical knowledge to solve any problems that might arise while using the solution. This type of user is uncommon.
- Free to use
- It has good reviews with respect to usage, especially among non-skilled users.
- Google Chart Tools stands out with great graphs and its integration with other Google products to deliver a seamless experience.
- Its greatest drawbacks are in the quality of support provided to users and the ease of doing business with them.
- Since there is no contract in place with a stipulated number of customer service hours or urgency of losing a high-paying customer, Google Charts takes a leisurely approach with their customer care.
- Adding to the vow is its lack of scalability. It might be a great solution for non-technical users starting out with limited funds, but Google Charts does not grow with your business and data. Thus, it sits at the bottom of the pack.
Who it's for
Being free, Google Charts caters mainly to small/one-person startups who are looking for an easy-to-use tool that can handle small amounts of data and are fine with compromising on functionality to save on cost.