Software Alternatives & Reviews

Azure Machine Learning Service VS Datameer

Compare Azure Machine Learning Service VS Datameer and see what are their differences

Azure Machine Learning Service logo Azure Machine Learning Service

Build and deploy machine learning models in a simplified way with Azure Machine Learning service. Make machine learning more accessible with automated capabilities.

Datameer logo Datameer

An all-in-one data transformation platform for exploring, preparing, visualizing, monitoring, and cataloging Snowflake insights.
  • Azure Machine Learning Service Landing page
    Landing page //
    2023-07-22
  • 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.

Azure Machine Learning Service features and specs

No features have been listed yet.

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

Azure Machine Learning Service videos

What is Azure Machine Learning service and how data scientists use it

More videos:

  • Review - Azure Machine Learning service: Part 2 Training a Model

Datameer videos

Datameer: Efficiently Extract Insights from Your Snowflake Data

Category Popularity

0-100% (relative to Azure Machine Learning Service and Datameer)
Data Science And Machine Learning
Data Dashboard
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Data Transformation
0 0%
100% 100

Questions and Answers

As answered by people managing Azure Machine Learning Service 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 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

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Reviews

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

Azure Machine Learning Service Reviews

The 16 Best Data Science and Machine Learning Platforms for 2021
Description: The Azure Machine Learning service lets developers and data scientists build, train, and deploy machine learning models. The product features productivity for all skill levels via a code-first and drag-and-drop designer, and automated machine learning. It also features expansive MLops capabilities that integrate with existing DevOps processes. The service touts...

Datameer Reviews

We have no reviews of Datameer yet.
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Social recommendations and mentions

Azure Machine Learning Service might be a bit more popular than Datameer. We know about 4 links to it since March 2021 and only 3 links to 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.

Azure Machine Learning Service mentions (4)

  • AI Team Collaboration with Azure ML Studio
    Building an AI solution requires more than just one person. You need a team of experts who can work together efficiently and creatively. That’s why you need a platform that supports collaboration and communication among your AI team members. Azure Machine Learning Studio is not only a powerful infrastructure for computation and technical tasks, but also a management tool that helps you organize and streamline your... - Source: dev.to / 10 months ago
  • Databricks 2022 vs Databricks 2025
    I'm biased, but giving my honest personal opinion here, I think this sounds like a bad idea. I'm not optimistic about Databricks long term. They are a data prep company masquerading as a data science company. Nothing wrong with that, but Spark resources are expensive compared with SQL, and they are at risk from all fronts (Cloud providers, Snowflake, AI/ML platform players, etc.). I see their Databricks controlled... Source: about 2 years ago
  • 20+ Free Tools & Resources for Machine Learning
    Azure Machine Learning An enterprise-grade service for the end-to-end machine learning life cycle that allows you to build models at scale. - Source: dev.to / about 2 years ago
  • Jobs which combine Chemical Engineering and Computer Science
    Azure Machine Learning (specifically for Energy and Manufacturing. Source: about 3 years ago

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: about 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

What are some alternatives?

When comparing Azure Machine Learning Service and Datameer, you can also consider the following products

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

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.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the 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.

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

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