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Jitterbit VS Plotly

Compare Jitterbit VS Plotly and see what are their differences

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Contents:
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  3. » Reviews
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Jitterbit logo Jitterbit

Jitterbit is an open source integration software that helps businesses connect applications, data and systems.

Plotly logo Plotly

Low-Code Data Apps
  • Jitterbit Landing page
    Landing page //
    2023-06-21
  • Plotly Landing page
    Landing page //
    2023-07-31

Jitterbit features and specs

  • Ease of Use
    Jitterbit offers a user-friendly interface that simplifies the process of connecting applications and data sources, allowing users to quickly build, deploy, and manage integrations.
  • Pre-built Connectors
    The platform provides a wide range of pre-built connectors and templates for various applications and data sources, speeding up the integration process and minimizing the need for custom development.
  • API Management
    Jitterbit includes robust API management capabilities, enabling organizations to easily create, publish, and manage APIs, and ensuring seamless integration between different systems.
  • Hybrid Deployment Options
    Jitterbit supports both cloud-based and on-premises deployments, offering flexibility to meet different business needs and IT environments.
  • Scalability
    The platform is built to handle high volumes of data and large-scale integrations, making it suitable for growing businesses and enterprises.

Possible disadvantages of Jitterbit

  • Pricing
    Jitterbit can be expensive for small and medium-sized businesses, especially when compared to other integration platforms. The cost might be a barrier for organizations with limited budgets.
  • Learning Curve
    Despite its intuitive interface, new users may still face a learning curve, especially if they are not familiar with integration concepts and best practices.
  • Limited Customization
    While Jitterbit comes with many pre-built connectors and templates, there might be restrictions when it comes to customizing solutions deeply tailored to specific business needs.
  • Complexity in Advanced Use Cases
    For very complex integration scenarios, Jitterbit might not be as straightforward and can require significant effort in terms of configuration and maintenance.
  • Support
    Users have reported that the customer support can be slow to respond or not as helpful as expected, potentially leading to delays in resolving issues.

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

Jitterbit videos

+ Add

Introduction to Jitterbit - The Smarter Approach to Integration

More videos:

  • Demo - Jitterbit Harmony 2-minute demo overview
  • Review - Jitterbit Cloud Data Loader for Salesforce

Plotly videos

+ Add

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category Popularity

0-100% (relative to Jitterbit and Plotly)

Jitterbit

Plotly

Data Integration
100 100%
Data Integration
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Web Service Automation
100 100%
Web Service Automation
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Jitterbit and Plotly

Jitterbit Reviews

Top MuleSoft Alternatives for ITSM Leaders in 2025
Jitterbit Harmony iPaaS focuses on in API, EDI, and easing citizen development, backed by a predictive pricing model. It innovates based on customer feedback, though its service integrator ecosystem is not as extensive. Its roadmap aims to improve business automation and developer support, making it an attractive option for general iPaaS needs or EDI modernization.
Source: www.oneio.cloud
Top 15 MuleSoft Competitors and Alternatives
Jitterbit provides the Jitterbit Harmony API platform and API360 to help companies connect SaaS, on-prem, and cloud apps and infuse intelligence into business processes. In Dec 2022, Jitterbit was named a Leader in G2 Grid Report for EDI and iPaaS for mid-market and enterprise organizations.
Source: bstrategyhub.com
13 data integration tools: a comparative analysis of the top solutions
Jitterbit Harmony, the ETL part of the platform, stands out for features such as robust connectors for established enterprise-level solutions such as SAP, Oracle Netsuite and Microsoft Dynamic. It also offers data auto-matching and cloud deployments for highly productive workflows.
Source: blog.n8n.io
Best iPaaS Softwares
Jitterbit is dedicated to accelerating innovation for our customers by combining the power of APIs, integration and artificial intelligence. Using the Jitterbit API integration platform companies can rapidly connect SaaS, on-premise and cloud applications and instantly infuse artificial intelligence into any business process. Our intuitive API creation technology enables...
Source: iotbyhvm.ooo
The 28 Best Data Integration Tools and Software for 2020
Description: Jitterbit offers cloud data integration and API transformation capabilities. The company’s main product, Jitterbit Harmony, allows organizations to design, deploy, and manage the entire integration lifecycle. The platform features a graphical interface for guided drag-and-drop configuration, integration via pre-built templates, and the ability to infuse...
Source: solutionsreview.com

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Source: www.technotification.com
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
Source: www.geeksforgeeks.org
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 34 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Jitterbit mentions (0)

We have not tracked any mentions of Jitterbit yet. Tracking of Jitterbit recommendations started around Mar 2021.

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 6 months ago
  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / almost 2 years ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
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What are some alternatives?

When comparing Jitterbit and Plotly, you can also consider the following products

MuleSoft Anypoint Platform - Anypoint Platform is a unified, highly productive, hybrid integration platform that creates an application network of apps, data and devices with API-led connectivity.

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Boomi - The #1 Integration Cloud - Build Integrations anytime, anywhere with no coding required using Dell Boomi's industry leading iPaaS platform.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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