The Good Tech Companies - The Top React Datagrids
Episode Date: October 17, 2024This story was originally published on HackerNoon at: https://hackernoon.com/the-top-react-datagrids. Explore the top React Datagrids and their notable features for your... applications in this review of leading options. Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #web-development, #webdev, #react, #reactjs, #devops, #reactjs-development, #datagrid, #good-company, and more. This story was written by: @mesciusinc. Learn more about this writer by checking @mesciusinc's about page, and for more stories, please visit hackernoon.com. Learn about the Top React DataGrids for your web applications and their notable features in a review of leading options.
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The top React Data Grids, by MESCIUS Inc. React Data Grid libraries give developers an
out-of-the-box solution for presenting data in their web applications.
Offering a familiar Excel-like table, Data Grids lets users view and manage records with intuitive
display, analysis, and in-cell editing, allowing them to
easily track information or obtain insights from the software interface. Although the React
framework does not have a built-in data grid component, third-party tools offer solutions
so you can seamlessly add these visual, interactive tables to your apps without rigorous coding
requirements. These tools, however, are not all built equally, but don't worry. We'll navigate
the terrain so you can find the best React data grid for your development processes. Below,
we'll examine the top React data grids and explore crucial features of the industry's
leading choices. Essential attributes of React data grids. To provide an apples-to-apples
comparison, we evaluated various capabilities and experiences desired in a top-tier
React data grid robust displaying, editing, and analysis features. How advanced are the
out-of-the-box data grids in functionality? Can they handle various data display capabilities
like cell formatting, merging, custom rendering, column banding, and scrolling? What about in-cell
editing, input validation, and options to delete, import, and add datasets or rows?
Does it come with analysis features like column sorting, grouping, filtering, charting, and aggregation?
Depth of integration and customization.
Can you save time on development by incorporating React data grids into web apps without additional coding requirements?
How native does the data grid feel within the React ecosystem
and the rest of your application interface?
Can you customize the themes and styles of your tables
to match the rest of the interface?
Data grid performance.
Can the React data grids handle large data sets
without slowing down the app
or compromising other software components?
Does it offer smooth scrolling, quick filtering,
and fast sorting to maximize user experience?
How well can it avoid lag time in your software, developer experiences and product resources?
Does the provider offer resources, such as product documentation, tutorials, samples,
videos, and other materials that can help you add data grids in your React web apps
or overcome development hurdles?
Is there a steep learning curve to becoming comfortable
with the library components?
Widgmos Flexgrid, notable features,
flexible binding to local or remote data arrays
to connect to your app's data grid,
cell and table customization,
plus pre-made templates and themes
you can apply to your grids.
Excel-like experience and functionality
that make it easy for users to manage and view
their data. Type scripted with definitions of the entire API with object-oriented C-sharp feel,
design time error checking, and IntelliSense for automated coding and parameter checks.
Pros. Cost-friendly, starting at $799 per developer. Built specifically for React with
an out-of-the-box data grid that features sorting,
filtering, pagination, and other functions already included. Modular architecture so
developers can choose the components and features they need for their specific application.
Designed for high performance and can withstand huge datasets without impacting app responsiveness,
speed, or functionality. Straightforward API and customization for
excellent ease of use, plus comprehensive documentation for developer support.
Cons. Many features and components to navigate. The list of capabilities could be overwhelming
for some. Certain features may have dependencies on other products, adding to the total cost.
Summary Wimo's FlexGrid is one of many flexible components available from
the provider. As the name suggests, flexibility really sets this product apart from the rest.
Developers can configure their data grids for various needs, customize cells with templates
and themes, and incorporate an extensive range of APIs. Through these pre-made WIGMO components,
you can create powerful React apps for any use
case in record time. AG Grid. Notable features. Optimized grid components that can handle large
datasets within applications. Fully integrated data grids where users can add tables with minimal
coding requirements. Custom rendering so developers can design cells, headers, and footers to any brand or system requirements.
Advanced data visualization features on data grids like row grouping, aggregation, chart pivoting, tree data, and master detail insights.
Pros
Provider offers a huge library of documentation and developer support.
Data grids offer high-performance capabilities to handle datasets of any size without compromising
speed, responsiveness, or user experience. Robust system customization. Developers can
add styles and themes, plus edit data grid cells, headers, footers, etc. For any business use case
or visual demand, regular updates on the library to improve developer experience,
data grid features, and performance.
Cons.
A rich feature set makes it tricky to learn for new developers.
Free plan limited to students and non-profits.
A G-Grid Enterprise starts at $999 per developer per year.
Integrating charts within data grids requires the Enterprise bundle for $1,498 per year.
Comes with a lot of overhead,
it may not be ideal for simple applications or small datasets because of its cost and sophistication. SUMMARYAG grid is best for larger development teams creating complex,
highly integrated web apps. For one thing, it's expensive if you want all the bells and whistles.
The upside?
You can access a full range of data display, editing, and analysis components for your
data grids with high performance.
It is also reliable for processing large datasets, there is no need to worry about application
lag time or a hindered user experience.
Kendo UI Grid, notable features.
Ready to go data grids for simple implementation in your web apps.
Create, read, update, and delete, CRUD, operations directly within the data grids for intuitive user
experience. Data binding to data sources like data arrays, RESTful services, and others for
versatile use cases and real-time record updates. Mobile component delivery for adding data grids in mobile apps.
Vast range of column manipulation, cell editing, and style configuration to match data grids with
other app components. Pros. Deep integration that lets you add and tailor data grids without
workaround requirements. Developers can access extensive support, documentation, product demos,
virtual classrooms, and other learning resources to
overcome challenges. Can incorporate many data management functions within your data grids like
sticky rows, column interactions, grouping and aggregates, tree view, and data hierarchies.
Highly customizable grids with an extensive range of pre-made APIs and hooks.
Cons. Expensive overall, starting at $999. Document processing and data exporting
to convert data grids into PDFs or Excel sheets requires a dev-craft complete plan for $1,699
per developer. Dependency on Kendo UI products. You'll likely have to bundle or purchase other
Kendo tools to fully leverage Kendo data grids in your apps. Customizing data grids, in particular, requires a learning curve. Summary Kendo UI
grid offers developers an advanced library and deep integration that makes adding data grids a
breeze, assuming you're willing to pay the cost. Its customization and vast APIs make it particularly
great for building apps that serve a global user base or have many use
cases. Kendo UI also best serves complex datasets through pre-built interactivity functions like
CRUD, filtering, sorting, etc. Handsuntable, notable features. An Excel-like experience for
using familiar tables and formats within your applications. Analysis and display features like
sorting, filtering, cell rendering, merging,
and many others. Flexible configuration capabilities to tailor data grids to various
branding needs and web app behaviors. Built-in templates for different data grid use cases,
such as inventory tracking, ERP, commission calculation, and other reporting tools.
Pros. Easy to create intuitive applications that apply an Excel-like
interface for user-friendliness. Free plan available for personal use. Strong community
base of users you can collaborate with, plus robust documentation and online resources.
Out-of-the-box solution with easy-to-add grids plus templates for unique use cases.
Offers mobile responsiveness so tables adjust
to mobile interfaces. Cons. Doesn't offer transparent pricing. Extremely large datasets
can cause lagging and performance issues. Adding more advanced features in data grids,
like integrated charts, advanced filtering, and drag and drop of cells, requires extra coding.
Summary IF you're building an app where users expect an Excel-like experience,
Handsuntable is a contender. It's undoubtedly one of the more intuitive products on this list,
thanks to its ready-to-go templates and an endless library of educational resources.
Developers looking to get their feet wet in creating React apps can also benefit from
the product's free plan, which is available for personal use. DHTMLX Grid. Notable features.
Performance optimized to handle millions of data records without slowing down the web app.
Rich API functions and controls for application flexibility and data sourcing. Flexible cell
editing and grid customization. Advanced data search and filtering, plus robust analytics capabilities and charting options.
Pros. Relatively scalable subscription plans that start at $749 per developer.
Specifically designed to support React frameworks, performs and integrates well with React components.
Great for supporting large and complex data operations, maintains performance integrity.
Endless supply of user
documentation and educational resources for support. Cons. Individual and commercial plans
limit you to one project. More project capacity requires the enterprise plan for $3,199.
Provider is relatively limited in the number of built-in themes you can apply to your data grid,
styling tables may require extra workarounds and coding. Extensive feature set demands a learning curve and is not
ideal for simple use cases. SUMMARY DHTMLX grid is an excellent choice for React-specific data grids.
Though many capabilities demand the enterprise plan, this product can provide plenty of value to React teams.
One specific use case for DHTMLX is adding analytical dashboards with data grids in finance or administrative support apps because OFIT's ability to handle and visualize complex
datasets. We also like it for data tables storing many records simultaneously.
Conclusion. Wigmos FlexGrid offers the most value to developers.
Considering its robust features and components, it's relatively inexpensive compared to its competitors.
FlexGrid also provides deep react integration in that most of the components are pre-made,
limiting the time spent on additional coding. Finally, we can't overlook the degree of
customization FlexGrid allows to meet any application need. Thank you for listening to this Hackernoon story, read by Artificial Intelligence.
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