Looking for alternatives to Yellowfin BI? Many users crave user-friendly and feature-rich solutions for tasks like Data Management, Reporting, and Data Transformation. Leveraging crowdsourced data from over 1,000 real Business Intelligence Tools selection projects based on 400+ capabilities, we present a comparison of Yellowfin BI to leading industry alternatives like BusinessObjects, Cloudera, Domo, and Mathematica.
Analyst Rating
User Sentiment
Domo is a cloud-based analytics platform that integrates end-to-end data management into one solution. Being SaaS, it’s available from anywhere with an internet connection. The vendor offers the best of both worlds — self-serve ease of use and data science.
Domo has a friendly interface aimed at senior management who are hard-pressed to make tough decisions daily. A breadcrumb trail at the top of the workspace will help you navigate between folders. A performant, scalable warehouse supports fast queries with in-memory data.
Domo Buzz is an instant messaging option like Slack with file sharing and is available on the mobile app also. Annotation options allowed me to add comments to my chart and mark data points of interest. If you want something more than what it offers, you can build your own apps within Domo. It’s our analysts’ pick and a user favorite in its category for these and more features.
Domo Everywhere is the embedded version, though it doesn’t offer as many options to design views as some other platforms, such as Dundas BI.
You can use Domo dashboards and reports for several critical tasks. Decide where to reduce spending and identify the factors that affect your business. Forecast demand for your services and products. Predict how unexpected events can impact the economy and your business and do much more.
There’s a 30-day free trial after which you can upgrade to the Standard or Enterprise pricing model. Or opt for the Business Critical edition to get a private AWS link that promises watertight security and reduces latency.
Some users mention performance limitations, which could be caused by shared cloud resources. The vendor offers a consumption model — pay for what you use and add unlimited users at a flat fee of $750.
among all Business Intelligence Tools
Yellowfin BI has a 'great' User Satisfaction Rating of 85% when considering 182 user reviews from 6 recognized software review sites.
BusinessObjects has a 'great' User Satisfaction Rating of 81% when considering 1869 user reviews from 4 recognized software review sites.
Cloudera has a 'great' User Satisfaction Rating of 82% when considering 216 user reviews from 4 recognized software review sites.
Domo has a 'great' User Satisfaction Rating of 87% when considering 1818 user reviews from 4 recognized software review sites.
Mathematica has a 'excellent' User Satisfaction Rating of 92% when considering 305 user reviews from 2 recognized software review sites.
Is Yellowfin BI the "gold standard" for your business intelligence needs? Recent user reviews suggest that Yellowfin BI is a capable business intelligence platform that shines in its user-friendly interface and robust feature set, making it a good fit for businesses of all sizes. Users praise its intuitive design, which allows even non-technical users to easily navigate and utilize the software. The platform's comprehensive suite of features, including data visualization, reporting, and automated insights, empowers businesses to gain a holistic understanding of their data. However, users also point out some drawbacks. A common gripe is the cost, which can be a barrier for smaller businesses or those with limited budgets. Some users find the software's learning curve steeper than expected, particularly when it comes to advanced features. Despite these weaknesses, Yellowfin BI differentiates itself through its focus on data storytelling and its ability to seamlessly integrate with a wide range of data sources. The platform's storytelling feature allows users to present data insights in a compelling and engaging way, facilitating better decision-making. Its broad data source compatibility ensures that businesses can connect and analyze data from various sources, providing a unified view of their operations. Overall, Yellowfin BI is best suited for businesses that prioritize user-friendliness and a comprehensive feature set in their business intelligence solution. Its intuitive interface and robust capabilities make it a valuable tool for organizations looking to leverage data for informed decision-making. However, businesses with budget constraints or those seeking a platform with a shallower learning curve may need to consider alternative options.
User reviews for BusinessObjects paint a picture of a powerful BI tool with both strengths and weaknesses. On the positive side, users praise its comprehensive features, enabling them to tackle complex data challenges. "It's like a Swiss Army knife for data analysis," one user says, "from basic reports to advanced modeling, it's got it all." This feature depth is often contrasted with simpler competitors, with users appreciating the ability to handle diverse needs without needing multiple tools. However, the learning curve can be steep, especially for non-technical users. "It's not exactly drag-and-drop for beginners," another user admits. This complexity can lead to frustration and require investment in training, which some users find less intuitive compared to competitors. Despite the learning hurdle, many users highlight BusinessObjects' scalability and integration capabilities as its main differentiators. "It seamlessly connects with our existing systems," one user notes, "saving us time and effort." This smooth integration is often lacking in competitors, making BusinessObjects a preferred choice for organizations with complex data ecosystems. Overall, user reviews suggest BusinessObjects is a powerful and versatile BI tool best suited for organizations with complex data needs and the resources to support its learning curve. Its comprehensive features and integration capabilities set it apart, making it a strong contender for those seeking a robust BI solution despite the initial investment required.
Is Cloudera the answer to your data management woes, or is it just a bunch of hot air? User reviews from the past year paint a mixed picture of Cloudera. While some users praise its flexibility and ability to handle large datasets, others find it cumbersome and expensive. Cloudera's hybrid cloud approach, allowing users to deploy on-premises or in the cloud, is a major selling point for many. However, some users find the platform's complexity a barrier to entry, especially for those without extensive experience in data management. Cloudera's integration with other tools, such as Apache Hadoop, is a key differentiator, but some users report issues with compatibility and performance. Cloudera is best suited for large enterprises with complex data needs and a dedicated team of data engineers. Its robust features and scalability make it a powerful tool for organizations that require a comprehensive data management solution. However, smaller businesses or those with limited technical resources may find Cloudera's complexity and cost prohibitive.
Domo has everything data teams could wish for — self-service ETL, advanced analytics and data science. Its rich set of connectors makes users happy as they praise its robust integration APIs. Its scripting language is similar to Power BI, and knowing SQL will shorten your team's learning curve. The vendor offers daily refreshes, currently capping them at 48.On the flip side, the interface seemed a bit clunky to me. Dashboards don’t display in the edit mode by default, which was a tad annoying. The Getting Started documentation is dated and doesn’t match the new interface. I could find my way around with help from user forums.While the vendor earns praise for releasing frequent updates, quite a few users say some much-needed features lack depth. According to our research, Domo offers only 64% of the required functionality out of the box, which is much less than what Power BI and Tableau provide. It also underperforms in data querying, scoring only 53 in our analysis.Some reviews mention bugs and that performance can lag when handling anything complex than simple visualizations. The slowness could be due to the multitenant SaaS model that provides shared computing. As for the mobile app, it didn’t work in the offline mode for me. I should mention here that I had opted for the trial version. A proof-of-concept will help you check if the issue persists in the paid edition.Domo’s pay-as-you-go model is great for estimating usage but be prepared to pay more for workload spikes. According to our research, about 89% of users who reviewed the price found Domo’s consumption model expensive. Small organizations working with a lean team might find it challenging to handle billing.Here’s what’s great about subscribing to Domo. You can create as many reports and dashboards as required — there’s no limit or additional cost. Plus, Domo allows adding an unlimited number of users. Domo accepts external data models from OpenAI, Amazon Bedrock, Hugging Face, Databricks and Jupyter Workspaces.Despite a competitive market, Domo is an excellent product for organizations seeking data visualization and strong integration. Its flexible pricing model and recent AI updates make it a strong challenger to leading data platforms.
Let's crunch some numbers and see what users have to say about Mathematica! Mathematica has garnered a reputation as a powerful computational tool, particularly in academic and research settings. Users frequently praise its symbolic computation capabilities, allowing them to manipulate and solve complex mathematical expressions and equations with ease. This strength sets Mathematica apart from competitors like MATLAB, which primarily focuses on numerical computation. Mathematica's notebook interface also receives positive feedback for its ability to combine code, visualizations, and text in a single document, facilitating reproducible research and clear communication of findings. However, Mathematica's steep learning curve and high price point are often cited as drawbacks. Users transitioning from other programming languages may find Mathematica's syntax and functional programming paradigm challenging to grasp initially. Additionally, the cost of a Mathematica license can be prohibitive for individual users or small businesses. Overall, Mathematica is best suited for researchers, scientists, and engineers who require a comprehensive tool for symbolic and numerical computation, data analysis, and visualization. Its extensive functionality and ability to handle complex mathematical problems make it an invaluable asset in these fields. However, individuals or organizations with limited budgets or those seeking a more user-friendly option may want to explore alternative software solutions. Keep in mind that software is constantly evolving, so it's always a good idea to check for the latest updates and user reviews to make an informed decision.
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