With an ever-increasing flow of raw data, the ability to collect, process, and analyze data has become a crucial process for companies seeking to gain a competitive edge and drive informed decision-making. So that everyone who needs to work with data should be able to access it directly and self-serve answers to the questions they have. That's why there’s no debate that data visualization gradually becomes a dispensable part of those and its benefits we all know. However, choosing which tool for your company to use is the foremost matter.
In this blog, we will discuss a comprehensive analysis of three prominent data visualization platforms: Looker Studio, Power BI, and Dataflake, and get a detailed overview of how they stack up on features, price, some advantages and disadvantages and who should use them.
Before going into the details of the comparison. Let’s take a look at some risks if you choose the wrong tool so that you can get better choices for your organization.
The key success of each business is always maximizing profit and minimizing cost. So, firstly we need to consider the cost, implementing the improper data visualization tool may incur extra costs. If the tool doesn't fulfill your needs, you might need to spend money on extra tools, adaptations, or workarounds to make up for its shortcomings. It’s so wasteful.
Second, increasing workload for engineers, your engineering staff will have additional work to do as a result, either by overcoming the tool's limits or integrating it with current systems. This additional burden also may take resources away from other crucial initiatives.
Lastly, missed chances and limited insights. Your business may lose out on important insights that may encourage innovation, find patterns, or optimize operations if the tool lacks advanced analytical capabilities, visualizations, or integrations with pertinent data sources.
So keep in mind these risks to meet your expectations more exactly. Now it’s time to thoroughly go through each data visualization tool.
Dataflake is a design-like data visualization that enables programmers, data analysts, and anybody else with access to data to quickly and easily create highly customized dashboards. Users may quickly gain meaningful information and reduce their workload.
Highly Customizable Dashboards
One of the best advantages of Dataflake’s features is highly customizable data visualization capabilities. It allows users to create visually appealing and informative dashboards that effectively communicate the meaning of the data to stakeholders. Users freely design and build an interactive dashboard with many different sorts of charts available and numerous conditional features to suit their requirements in a user-friendly environment without the steep learning curve.
Automated Email delivery Scheduling
It allows users to plan, schedule, and automate the distribution of dashboards or visualizations to clients or team members via email. With the help of this feature, communication will be more effective and the right information will reach the right people at the right moments, saving time and reducing manual configuration.
For example, at the beginning of the week, the sales dashboard is automatically delivered to the managers. They can evaluate the most recent sales data, see any new trends, patterns, or problems,...to make decisions based on the most recent information. This enables them to move quickly, such as by modifying their tactics or consulting their sales teams.
Securely Embedded Analytics
You can quickly embed dashboards directly into your websites or applications. This helps keep your developing team focused on their core value, reduce workload and your business can save recurring costs.
Now you can confidently collaborate with team members, share data with clients or partners, and maintain control over who can view and interact with the information. It makes sure that only authorized users have access to the shared data by employing security and access control measures. Moreover, it reduces the risk of unauthorized access or data breaches.
Along with these useful core capabilities, Dataflake releases upcoming features that will efficiently automate and speed up data workflow such as managing queries on a single page, data anomaly detection, data quality management,... Discover here
Looker Studio is a comprehensive data exploration and visualization platform formerly Google Data Studio that allows users to analyze, visualize, and share data insights.
Data Exploration and Discovery: Users can sort, filter, and aggregate data by using Looker's exploration tool to gain insights more quickly. This feature gives users the capacity to interactively explore and analyze data and provides a strong query interface where they utilize natural language processing to ask inquiries.
Data Source Integration: Looker Studio connects to various data sources, including databases, data warehouses, cloud platforms, and more. You can access and transform data from various sources that give you a single perspective for analysis and visualization.
Data Modeling: It employs a language layer called LookML for data modeling. To define data linkages, calculations, and measurements, it offers a flexible and reusable way. Users can create data models that match their business logic and naming conventions, guaranteeing consistency across the platform.
API and Extensibility: An API is offered to facilitate application integration and custom development. Users can expand the capability of Looker Studio by using the API to embed Looker visuals and functionality within their applications or workflows.
Power BI is a business intelligence and data visualization tool developed by Microsoft. It enables users to connect to various data sources, transform and model the data, and create interactive visualizations and reports.
Data Connectivity: On-premises and cloud-based data sources can all be accessed by Power BI. It allows connectivity to cloud services, spreadsheets, databases, and more. Users can access and aggregate data from several sources in a single display thanks to this.
Visualizations and Reports: Visualizations offered by Power BI include charts, graphs, maps, and tables. Drag and drop visual components onto a canvas to create interactive reports and dashboards. They can delve down into data to discover insights, add filters, and alter the visualizations' appearance. Additionally, Power BI offers both pre-made and user-created bespoke visualizations.
Mobile Access: Users of Power BI's mobile apps for iOS and Android devices may access and work with their data while on the road. Users may access reports, analyze data, and receive alerts on their mobile devices thanks to responsive and optimized mobile apps.
Data Security and Governance: To guarantee the safety and integrity of data, Power BI offers security and governance tools. Row-level security can be implemented, access rights can be set, and data refresh cycles can be managed by administrators. Power BI offers reliable data encryption and connects with Azure Active Directory for user authentication.
Dataflake currently offers 100% free usage so that you can unlimitedly get access to use Dataflake. However, please note that pricing and promotions may change, so it is recommended to check our websites for the modification.
It provides custom pricing to each company – but sources suggest it starts at $3,000 per month.
There are three price tiers for Microsoft Power BI, with prices ranging from $9.99 to $4,995. Customers can select the Microsoft Power BI edition that best fits their needs, and a free trial is also offered.
It can be extremely beneficial for small and medium-sized enterprises (SMBs), startups, agencies, and freelancers. Because it provides affordable and efficient ways to access all capabilities and enhance your data analytics methods with just a fraction of cost.
It is also a good option for producing highly customizable data visualizations that can be customized to the requirements at hand and successfully communicate insights and storytelling using data. Additionally, Dataflake enables your teams to collaborate easily on projects involving data analysis and visualization.
Businesses should consider their needs, resources, and budget while evaluating Looker Studio to ensure that it satisfies them. It's a wonderful fit for high-end software companies that want to create a consolidated, reliable source of truth for data analytics.
The software can occasionally be challenging to use, especially for those without substantial data experience, and Looker Studio is kind of expensive
For individuals who are already familiar with other well-known Microsoft programs, Microsoft Power BI Desktop has an easy-to-use user interface that adheres to Microsoft's design guidelines. Its features include robust data visualization tools, cloud computing capabilities that let you view dashboards from any device or location, and support for corporate accounts that make it simple to collaborate across teams.
But sometimes it has some problems for specific users such as complicated user interfaces for people who aren't similar to Microsoft tools before, as some advanced functions require advanced programming skills, limiting some customization capabilities, etc…
Due to its efficiency in data analysis and visualization, organizations of all sizes in a variety of industries can benefit greatly from using it.
Choosing the right data visualization platform is a critical decision that can significantly impact your business's productivity and success. Rushing into a decision without careful consideration may lead to frustration and inefficiencies.
To make an informed choice, it's essential to evaluate factors such as pricing, features, who should use it, and some customer reviews. With Dataflake you don't worry about these matters. So don't hesitate to sign up for Dataflake now.
