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Datameer VS Pandas

Compare Datameer VS Pandas and see what are their differences

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LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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Datameer logo Datameer

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

Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
  • Datameer Landing page
    Landing page //
    2023-06-08

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 datasets using metadata for project-specific requirements.
  • Rapid Fire - No Code SQL Query Builder for data mining
  • Visual canvas-like interface: Easily design and maintain projects for seamless workflow.
  • Insights sharing: Share results and exceptions via Email or Slack with scheduled delivery options.
  • Seamless Snowflake integration: Deploy data assets to Snowflake with ease.
  • GIT version control: Automate version control and CI/CD for Snowflake data pipelines.
  • Materialization and dependency management: Ensure reliable data processing.
  • Cost and Usage Monitoring with drill down exploration
  • Data Quality Checks and Monitoring
  • API Framework for External Triggers
  • AI Support for Prep, Discovery, and Documentation
  • Production Job Scheduling Support and Dashboard
  • Automated Bi-Directional Cloud File Integration from and to AWS S3, Azure, and GCP

Benefits of Datameer Cloud:

  • Increased data accuracy and consistency.
  • Reduced data preparation time.
  • Improved data access and sharing.
  • Enhanced data-driven decision making.

Datameer is a Snowflake SELECT partner, recognized for its data preparation expertise. The platform prioritizes data security, with monitoring by Drata to protect your valuable data.

Unlock the power of your Snowflake insights with Datameer today.

  • Pandas Landing page
    Landing page //
    2023-05-12

Datameer features and specs

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

Pandas features and specs

No features have been listed yet.

Datameer videos

+ Add

Datameer: Efficiently Extract Insights from Your Snowflake Data

Pandas videos

+ Add

Ozzy Man Reviews: Pandas

More videos:

  • Review - Ozzy Man Reviews: PANDAS Part 2
  • Review - Trash Pandas Review with Sam Healey

Category Popularity

0-100% (relative to Datameer and Pandas)

Datameer

Pandas

Data Dashboard
56 56%
Data Dashboard
44% 44
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Data Transformation
100 100%
Data Transformation
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

Questions and Answers

As answered by people managing Datameer and Pandas.

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 your primary audience?

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 Datameer and Pandas. For example, how are they different and which one is better?
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Reviews

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

Datameer Reviews

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

Pandas Reviews

25 Python Frameworks to Master
Pandas is a powerful and flexible open-source library used to perform data analysis in Python. It provides high-performance data structures (i.e., the famous DataFrame) and data analysis tools that make it easy to work with structured data.
Source: kinsta.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When it comes to ETL, you can do almost anything with Pandas if you're willing to put in the time. Plus, pandas is extraordinarily easy to run. You can set up a simple script to load data from a Postgre table, transform and clean that data, and then write that data to another Postgre table.
Source: www.xplenty.com

Social recommendations and mentions

Based on our record, Pandas seems to be a lot more popular than Datameer. While we know about 199 links to Pandas, we've tracked only 3 mentions of Datameer. 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.

Datameer mentions (3)

  • 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 2 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: about 2 years ago
  • Alteryx - worth the time investment to learn?
    I am biased but check out: datameer.com. Source: about 2 years ago

Pandas mentions (199)

  • The ultimate guide to creating a secure Python package
    It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / 5 days ago
  • AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
    Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 23 days ago
  • Pandas reset_index(): How To Reset Indexes in Pandas
    In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 17 days ago
  • Deploying a Serverless Dash App with AWS SAM and Lambda
    Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 2 months ago
  • Stuff I Learned during Hanukkah of Data 2023
    Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 5 months ago
View more

What are some alternatives?

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

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.

NumPy - NumPy is the fundamental package for scientific computing with Python

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.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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

OpenCV - OpenCV is the world's biggest computer vision library

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