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Plotly VS Datameer

Compare Plotly VS Datameer and see what are their differences

Plotly

Low-Code Data Apps

Rating
0 reviews
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Alternatives Is it good?
Datameer

An all-in-one data transformation platform for exploring, preparing, visualizing, monitoring, and cataloging Snowflake insights.

Rating
0 reviews
Pricing
Paid Free trial $100 / Monthly (For individual contributors or teams of one)
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Alternatives Is it good?
PromptBrake
Automated AI security testing for agents, chatbots, and APIs. Find prompt injection, data leaks, and unsafe behavior before launch. sponsored

Which is more popular?

Based on our record, Plotly seems to be a lot more popular than Datameer. While we know about 34 links to Plotly, we've tracked only 3 mentions of Datameer.

social mentions
34 vs 3
Data Visualization popularity
100% vs 0%
alternatives listed
240+ vs 136

Base details

Website, pricing, platforms and company facts side by side.

Plotly
Datameer
Website plotly.com datameer.com
Pricing
Official pricing
Paid Free trial $100 / Monthly (For individual contributors or teams of one) Official pricing
Platforms —
Cloud Web
Listed in
Application And Data Developer Tools App Development App Deployment Data Visualization Low Code +3
Data Transformation Data Preparation Data Quality Data Modeling Data Observability Big Data Analytics Data Science Tools Data Science And Machine Learning Data Visualization +6

About Plotly and Datameer

In their own words, as submitted to SaaSHub.

Plotly
Datameer

No description of Plotly yet.

Datameer: Data Quality & Data Prep for Snowflake Discover, explore, clean, transform, automate, and share Snowflake data with Datameer. The platform equips analysts and data engineers with a complete data toolset to efficiently prep their data. Key Features: Data catalog: Search and filter...

Read more about Datameer

Features and specs

What each product offers, as listed by its team.

Plotly 6 features
Datameer 41 features
  • 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

  • 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.
  • Aggregate Transformations
  • Auto Documentation
  • Automated Email Notifications
  • BI integration
  • Data Catalog
  • Data Discovery
  • Data Preparation
  • Data Profiling
  • Data Transformation
  • Data Validation
  • Dataset Joins
  • Dependency Management
  • Deployment
  • Deployment History
  • Exploration
  • Extract and Split Function
  • Filter and Replace
  • Fresh Data
  • Full Lineage
  • Google Sheets Integration
  • Manage Columns Function
  • Materialization
  • Metadata Enrichment
  • Model Deployment
  • Monitoring
  • No Code Editor
  • Orchestration API
  • Pivot Table
  • Production Pipelines
  • Scheduling
  • Search
  • Sharing Insights
  • Slack Integration
  • Snowflake Catalog
  • Snowflake Native
  • SQL Code Editor
  • Version Control
  • AI Support for Prep, Discovery, and Documentation
  • Data Quality Monitoring
  • Cost and Usage Monitoring
  • Bi-Directional Cloud File Integration

Analysis

An editorial look at what each product does well and who it suits.

Plotly
Datameer

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.

Overall verdict

  • Datameer is generally regarded as a good tool for organizations seeking to streamline their data analytics processes. Its ease of use and integrated features offer a comprehensive solution for data management and analysis, making it an appealing option for teams of various sizes and industries.

Why this product is good

  • Datameer is considered a user-friendly platform designed to simplify the process of data preparation, integration, and exploration in a scalable manner. It allows users to transform big data into actionable insights without the need for extensive coding skills. Its extensive integration capabilities with various data sources and its ability to handle large volumes of data efficiently make it a preferred choice for businesses looking to leverage data analytics. Additionally, Datameer offers intuitive visualizations and analytic dashboards that can help teams collaboratively derive insights from data.

Recommended for

    Datameer is highly recommended for data analysts, business intelligence teams, and organizations that require a robust platform for data preparation and analysis. It is particularly beneficial for companies that deal with large datasets and need a solution that enables quick and efficient data exploration and visualization. Industries such as finance, healthcare, e-commerce, and technology may find Datameer especially useful due to their substantial data analytics needs.

Videos

Walkthroughs and reviews on video.

Plotly 5 videos + Add
Datameer 1 video + Add

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

More videos

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

Datameer: Efficiently Extract Insights from Your Snowflake Data

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Plotly
Datameer
100% 100%
Data Visualization
0% 0%
45% 45%
Data Dashboard
55% 55%
100% 100%
Charting Libraries
0% 0%
0% 0%
Data Transformation
100% 100%

Questions & Answers

As answered by people managing Plotly and Datameer.

Why should a person choose your product over its competitors?

Datameer's answer:

  • Intuitive Visual Interface: Datameer offers a user-friendly visual interface for easy data prep with or without coding.

  • Seamless Snowflake Integration: Datameer integrates seamlessly with Snowflake, keeping all of your data in Snowflake where it should be.

  • Streamlined Data Analytics: With Datameer and Snowflake, you can unlock valuable insights faster and more efficiently, eliminating complex coding and cumbersome data transformations.

What's the story behind your product?

Datameer's answer:

The story of Datameer began with a vision to democratize data analytics. The founders recognized the growing need for a platform that could empower organizations to leverage their data effectively, regardless of their technical expertise.

They set out to create a solution that would bridge the gap between data science and business users, enabling anyone to make data-driven decisions.

Over the years, Datameer has evolved into a leading data preparation and analytics platform, trusted by organizations across various industries to transform raw data into valuable insights.

Who are some of the biggest customers of your product?

Datameer's answer:

Datameer caters to businesses of all sizes, from small businesses to large enterprises. Some of it's most prominent customers include BT Openreach, Vivint, BMO Financial Group, Akbank, Skylar, and Reliant Funding. These companies use Datameer's data preparation and analytics platform to make better decisions with their data.

Which are the primary technologies used for building your product?

Datameer's answer:

Snowflake - The Data Cloud

What makes your product unique?

Datameer's answer:

Datameer offers an intuitive and user-friendly data transformation and analytics platform. Unlike other solutions that require extensive SQL knowledge, Datameer allows users to work with complex data easily through a visual interface. Whether you're a data engineer or a business analyst, Datameer empowers you to derive meaningful insights from your data without requiring extensive SQL skills.

How would you describe the primary audience of your product?

Datameer's answer:

Datameer caters to a diverse audience consisting of both technical and non-technical users. Data engineers and data analysts benefit from the platform's powerful data processing capabilities and advanced analytics functionalities. At the same time, business users, such as marketing professionals or operations managers, appreciate the simplicity and accessibility of Datameer's interface, allowing them to explore and visualize data without relying on IT or data science teams.

In essence, Datameer's primary audience is anyone who wants to unlock the value of their data quickly and efficiently.

User comments

Share your experience with using Plotly and Datameer. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Plotly no reviews yet
Datameer no reviews yet

View more

We have no reviews of Datameer yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Plotly 34 mentions
Datameer 3 mentions

View more

  • Alteryx Freelancers - How Much Are You Taking Home Hourly?
    Hence the popularity of tools like Alteryx... There are newer better tool now like datameer.com easier to use and more modern. Source: over 4 years ago
  • Alteryx - worth the time investment to learn?
    That's right... Just look at datameer.com it's SaaS so much easier to handover... And much cheaper too... Source: over 4 years ago
  • Alteryx - worth the time investment to learn?
    I am biased but check out: datameer.com. Source: over 4 years ago

Alternatives to Plotly and Datameer

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

  • 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.

    Compare D3.js to Plotly or Datameer:

    D3.js vs Plotly D3.js vs Datameer
  • Looker

    Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

    Compare Looker to Plotly or Datameer:

    Looker vs Plotly Looker vs Datameer
  • RAWGraphs

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

    Compare RAWGraphs to Plotly or Datameer:

    RAWGraphs vs Plotly RAWGraphs vs Datameer
  • Jupyter

    Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

    Compare Jupyter to Plotly or Datameer:

    Jupyter vs Plotly Jupyter vs Datameer
  • 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.

    Compare Tableau to Plotly or Datameer:

    Tableau vs Plotly Tableau vs Datameer
  • Google BigQuery

    A fully managed data warehouse for large-scale data analytics.

    Compare Google BigQuery to Plotly or Datameer:

    Google BigQuery vs Plotly Google BigQuery vs Datameer
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