Top ClicData Alternatives & Competitors For 2024

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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.

SQL Server Software Tool
Looker Software Tool

Product Basics

ClicData is a cloud-based solution that collects data from multiple sources and delivers insights that are easy to use, embed and access on any device. It enables users to design and share dashboards. It has four different pricing plans with varying levels of functionality: Premium, Team, Enterprise and Dedicated. Users can purchase subscriptions at a yearly or monthly rate.
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SQL Server, a relational database management system (RDBMS) from Microsoft, excels at storing, organizing, and retrieving large datasets. It's often a top choice for businesses running on Microsoft ecosystems due to its seamless integration with other Microsoft tools like Office and Power BI. Priced per core or server license, its cost can vary depending on the chosen edition and scale. While offering a free express edition for smaller deployments, its paid tiers cater to mission-critical applications and larger organizations. SQL Server shines in reliability, security, and performance, making it suitable for various data management needs. Its robust security features ensure data integrity, while its scalability allows handling massive datasets efficiently. Popular features include built-in reporting tools, disaster recovery options, and tight integration with development frameworks like .NET. However, setup and maintenance can be complex, requiring specialized skills. Additionally, some users cite limited cross-platform compatibility and a steeper learning curve compared to open-source alternatives. Overall, SQL Server offers a powerful and secure solution for organizations invested in the Microsoft ecosystem, especially those managing large-scale data and requiring robust features. However, its cost and complexity might deter smaller businesses or those seeking more flexible, cross-platform options.

Pros
  • Reliable performance
  • Strong security features
  • Integration with Microsoft tools
  • Scalable for large datasets
  • Extensive online resources
Cons
  • Can be expensive
  • Complex setup and maintenance
  • Vendor lock-in potential
  • Limited cross-platform support
  • Steeper learning curve
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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.

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Looker is a web-based analytics solution that offers businesses the ability to explore, discover, visualize and share data insights. Enterprises can view data sources and drill down into data to better understand their business and metrics.

Using a simple proprietary modeling language, this system helps define data relationships while bypassing SQL. It facilitates data literacy and accessibility, irrespective of technical skill levels. It was acquired by Google on June 6, 2019, for $2.9 billion.
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Wolfram Mathematica is a technical computing platform that can perform a wide range of computations and algorithms for mathematics and beyond. Primarily designed for research and academia, it enables users to create powerful scripts through a flexible, multi-purpose programming language. It allows users to analyze and visualize data in sophisticated ways and employ methods such as machine learning, data mining and deep learning to model and solve complicated problems.

It is available in the cloud through any web browser or installable on-premises on all desktop environments. Users can purchase licenses as individuals or under group or enterprise pricing for cloud, desktop or both versions.
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Product Assistance

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Product Ranking

#345

among all
Business Intelligence Tools

#127

among all
Business Intelligence Tools

#25

among all
Business Intelligence Tools

#4

among all
Business Intelligence Tools

#47

among all
Business Intelligence Tools

Find out who the leaders are

Analyst Rating Summary

we're gathering data
we're gathering data
87
we're gathering data
we're gathering data
we're gathering data
we're gathering data
87
we're gathering data
we're gathering data
we're gathering data
we're gathering data
73
we're gathering data
we're gathering data
we're gathering data
we're gathering data
98
we're gathering data
we're gathering data
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Availability and Scalability
Data Management
Data Pre-processing
Data Transformation
Data Visualization
Availability and Scalability
Data Management
Data Pre-processing
Data Transformation
Data Visualization
Availability and Scalability
Data Transformation
Data Visualization
Platform Capabilities
Platform Compliance
Availability and Scalability
Data Management
Data Pre-processing
Data Transformation
Data Visualization
Availability and Scalability
Data Management
Data Pre-processing
Data Transformation
Data Visualization

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

ClicData
SQL Server
Domo
Looker
Mathematica
+ Add Product + Add Product
Advanced Analytics Augmented Analytics Data Management Data Pre-processing Data Transformation Data Visualization Embedded Analytics Capabilities Geospatial Visualizations and Analysis Mobile Capabilities Platform Capabilities Reporting 87 73 98 94 100 100 86 50 79 100 100 0 25 50 75 100
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

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User Sentiment Summary

Excellent User Sentiment 294 reviews
Great User Sentiment 7657 reviews
Great User Sentiment 1818 reviews
Great User Sentiment 1836 reviews
Excellent User Sentiment 305 reviews
92%
of users recommend this product

ClicData has a 'excellent' User Satisfaction Rating of 92% when considering 294 user reviews from 5 recognized software review sites.

89%
of users recommend this product

SQL Server has a 'great' User Satisfaction Rating of 89% when considering 7657 user reviews from 4 recognized software review sites.

87%
of users recommend this product

Domo has a 'great' User Satisfaction Rating of 87% when considering 1818 user reviews from 4 recognized software review sites.

88%
of users recommend this product

Looker has a 'great' User Satisfaction Rating of 88% when considering 1836 user reviews from 5 recognized software review sites.

92%
of users recommend this product

Mathematica has a 'excellent' User Satisfaction Rating of 92% when considering 305 user reviews from 2 recognized software review sites.

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Awards

User Favorite Award
we're gathering data
Platform Capabilities Award
Integrations and Extensibility Award
we're gathering data
User Favorite Award

Synopsis of User Ratings and Reviews

Visualization: About 89% of users who reviewed visualization mentioned the system’s ability to create beautiful, unique dashboards.
Ease of Use: Approximately 73% of users who referred to user-friendliness said that the solution is very intuitive and easy to navigate.
Customization: All users who talked about customization liked that they could customize anything in the system.
Customer Service: ClicData provides very positive and outstanding customer service, according to about 56% of users who reviewed support.
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Reliability and Performance: Users consistently praise SQL Server's stability, speed, and ability to handle large, complex workloads with minimal downtime.
Security: SQL Server offers robust security features, including multi-layered encryption, access controls, and active threat detection, to safeguard sensitive data.
Scalability: Users appreciate the ability to easily scale SQL Server to meet evolving data needs without compromising performance or incurring significant costs.
Integration with Microsoft Ecosystem: Seamless integration with other Microsoft tools and services, such as Azure cloud services and Power BI, enhances productivity and data management capabilities.
Comprehensive Tools and Features: SQL Server provides a rich set of tools for database administration, development, and analysis, including SSMS, SQL Server Data Tools (SSDT), and SQL Server Reporting Services (SSRS).
Strong Community and Support: Users benefit from a large, active community of SQL Server professionals and extensive resources from Microsoft, including documentation, tutorials, and forums.
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Source Connectivity: About 86% of users citing data integration said they could connect to their preferred sources easily.
Ease of Use: Around 82% of users discussing the interface said options and tabs were straightforward and intuitive.
Data Visualization: About 74% of people who reviewed Domo for graphics appreciated the ease of creating and sharing data stories.
Functionality: Around 73% of users who mentioned features said Domo performed as expected.
Support Services: About 71% of reviews discussing assistance praised the support team for being helpful and responsive.
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Reporting: Looker features strong reporting features that offer a degree of granularity and scheduling that 100% of users who mention reporting evaluate as a strong benefit.
Support: Of the users who say they’ve contacted customer support, 95% say the team’s quick and informative responses are a plus.
Data Accessibility: All users who mention accessibility to data say Looker does this well, distributing insights to employees across departments and teams with ease, with 100% of users mentioning this feature believing it is a benefit.
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Symbolic Computation: Mathematica excels at handling and manipulating symbolic expressions, making it ideal for tasks that involve algebra, calculus, and other forms of mathematical analysis. This can be particularly useful for financial modeling, risk analysis, and other business intelligence applications that require complex calculations.
Visualization Capabilities: Mathematica offers a wide range of visualization tools that can be used to create high-quality charts, graphs, and other visual representations of data. These visualizations can be interactive, allowing users to explore data from different perspectives and gain deeper insights. This is essential for effectively communicating complex data to stakeholders in a business setting.
Automation and Scripting: Mathematica allows users to automate tasks and create scripts, which can save time and improve efficiency. This can be particularly useful for repetitive tasks, such as data cleaning and analysis. Automating these tasks can free up time for business intelligence professionals to focus on more strategic initiatives.
Machine Learning and AI: Mathematica includes a wide range of machine learning and artificial intelligence (AI) tools that can be used for tasks such as predictive modeling, classification, and anomaly detection. These capabilities are becoming increasingly important for business intelligence, as they can help organizations to identify trends, make better decisions, and gain a competitive advantage.
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Connectivity: The solution lacks plugins to pull data, according to approximately 58% of reviewers commenting on connectivity.
Learning Curve: All users who mentioned a learning curve related to understanding the product said that it was difficult to master, especially for non-technical users.
Updates: All users who talked about updates complained about fixes taking too long to get done.
Features: About 67% of users who spoke about features said that features are limited, and many important ones are unavailable, especially for the cheaper plans.
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Licensing Cost: Can be expensive for large deployments, especially with Enterprise editions and complex licensing requirements.
Complexity: Managing and maintaining SQL Server, particularly in large environments, can require specialized skills and expertise.
Limited Cloud Flexibility: While Azure SQL Managed Instance offers managed cloud services, on-premises deployments might require additional effort for cloud migration and management.
Vendor Lock-in: Switching from SQL Server to other database systems can be complex due to its proprietary nature and T-SQL language.
Performance Overhead: Complex queries or large datasets can strain resource usage, potentially impacting performance, especially on less powerful hardware.
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Speed: About 78% of users discussing speed said the platform lagged sometimes.
Cost: Around 89% of users discussing price termed the platform as expensive.
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Learning Curve: About 74% of users who touch on the platform’s ease of use say that the confusing documentation, lack of training opportunities and difficulty of using programming language make Looker a tough tool to pick up as a beginner.
Setup: Of the users who mention implementation, 81% say that setting up the platform is difficult, with integrations not being as plug-and-play as competitors and assistance from IT necessary to the setup process.
Speed: Approximately 87% of users who comment on the platform’s speed say that it is slow to render certain queries and often takes a while to load.
Functionality: About 78% of users who talk about Looker’s features say that they are left wanting many functions and find the ones that it does have limited in customization or too complex to use easily.
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Price: Mathematica comes with a hefty price tag, especially for commercial use, which can be a significant barrier for individuals or small businesses.
Learning Curve: The software has a steep learning curve due to its vast functionality and unique syntax, requiring a significant time investment to master.
Closed Ecosystem: Mathematica operates within a closed ecosystem, making it challenging to integrate with other data analysis tools or programming languages commonly used in business intelligence.
Limited Collaboration: Collaboration features are not as robust as those found in other business intelligence platforms, hindering teamwork and knowledge sharing.
Visualization Capabilities: While Mathematica offers visualization tools, they may not be as intuitive or user-friendly as dedicated data visualization software, potentially limiting the ability to create compelling and insightful dashboards.
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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.

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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.

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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.

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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.

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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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