Looking for alternatives to ClicData? 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 ClicData to leading industry alternatives like SQL Server, Domo, Looker, 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
ClicData has a 'excellent' User Satisfaction Rating of 92% when considering 294 user reviews from 5 recognized software review sites.
SQL Server has a 'great' User Satisfaction Rating of 89% when considering 7657 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.
Looker has a 'great' User Satisfaction Rating of 88% when considering 1836 user reviews from 5 recognized software review sites.
Mathematica has a 'excellent' User Satisfaction Rating of 92% when considering 305 user reviews from 2 recognized software review sites.
Clicdata is a robust platform with a multitude of data manipulation options and robust data processing capabilities. The cloud-based system is simple enough to get the results businesses need. Readymade connectors are available to connect and fuse data from multiple data sources. However, some users complained about connectivity issues with third parties. Users also complained about the lack of API integrations and plugins to pull data. Visualizations are stunning with customizable dashboards that are quick and easy to set up and have a great set of widgets. Users were generally happy with the customer service, stating that they were positive and reactive. Video tutorials and documentation could be improved. Some important features, such as roll back and database editing, are not available for all plans. Learning and getting used to the system can take time for the non tech-savvy. Overall, it’s a flexible, intuitive and cost-effective tool to visualize business data.
SQL Server continues to be a popular choice for database management, with user reviews highlighting both its strengths and weaknesses. Reliability and performance remain key selling points. Users praise its stability, speed, and ability to handle demanding workloads, making it a trusted choice for mission-critical applications. However, licensing costs can be a significant barrier, especially for larger deployments compared to open-source alternatives like PostgreSQL. Security is another forte, with users appreciating its multi-layered approach to protecting sensitive data. However, its complexity can be daunting, requiring specialized skills for administration and maintenance, particularly in larger environments. While Azure SQL Managed Instance offers managed cloud services, some users find on-premises deployments less flexible for cloud migration. Users acknowledge its rich set of tools and features, including SSMS, SSDT, and SSRS, for efficient database management, development, and analysis. Yet, they recognize vendor lock-in as a potential drawback, as switching to other systems can be challenging due to its proprietary nature and T-SQL language. Overall, SQL Server's reliability, performance, and security are highly valued. However, its cost, complexity, and limited cloud flexibility are common concerns. Users compare it favorably to PostgreSQL for affordability and open-source nature, while acknowledging its less mature feature set. Oracle Database is seen as a competitor for large-scale enterprise deployments, but users note its even higher cost and complexity. Ultimately, the choice comes down to specific needs and priorities. For users prioritizing reliability, security, and integration with the Microsoft ecosystem, SQL Server remains a compelling option. However, those seeking flexibility, lower costs, or open-source options might find PostgreSQL or other alternatives more attractive.
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.
Looker is a forerunner in the business intelligence field for a reason; it generates reports that include easy sharing via link, automatic scheduling and a level of granular detail that allows for deeper analysis below the surface. It excels in its filter and drill-down features and creates unique URLs when users make changes to data, leading to enhanced sharing. However, one of its biggest strengths could also be considered one of its biggest weaknesses: its proprietary programming language, LookML which is used to construct SQL queries in the platform. While a flexible and powerful data querying language, of course, LookML isn’t the most accessible to non-technical users, which means that Looker requires an IT or data team to access its full capabilities and has a steep learning curve. Users also note that its data visualizations, while simple and easy to understand, are quite basic and lacking in customization options, particularly in comparison to competitors. Some users say that it may be more appropriate for internal reporting than presentation to shareholders and end-users because of its bare-bones visualization options. However, Looker truly shines when used by enterprises, with its scalability and data accessibility making it a stellar solution that can align departments and provide thousands of users access to data insights. Its price point reflects this, with its pricing being prohibitive to startups as about 88% of users who comment on its cost remark. Overall, Looker is a solid pick for larger businesses that have a team of power users who can maximize its functionality and set it up to deliver to employees across an entire organization.
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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