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Datameer VS Google Cloud Dataproc

Compare Datameer VS Google Cloud Dataproc and see what are their differences

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Datameer logo Datameer

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

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • 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.

  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

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

Google Cloud Dataproc features and specs

No features have been listed yet.

Datameer videos

+ Add

Datameer: Efficiently Extract Insights from Your Snowflake Data

Google Cloud Dataproc videos

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Dataproc

Category Popularity

0-100% (relative to Datameer and Google Cloud Dataproc)

Datameer

Google Cloud Dataproc

Data Dashboard
54 54%
Data Dashboard
46% 46
Data Transformation
100 100%
Data Transformation
0% 0
Big Data
0 0%
Big Data
100% 100
Big Data Analytics
100 100%
Big Data Analytics
0% 0

Questions and Answers

As answered by people managing Datameer and Google Cloud Dataproc.

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 Google Cloud Dataproc. For example, how are they different and which one is better?
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Social recommendations and mentions

Google Cloud Dataproc might be a bit more popular than Datameer. We know about 3 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.

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

Google Cloud Dataproc mentions (3)

  • Connecting IPython notebook to spark master running in different machines
    I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago
  • Why we don’t use Spark
    Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / almost 2 years ago
  • Data processing issue
    With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: about 2 years ago

What are some alternatives?

When comparing Datameer and Google Cloud Dataproc, 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.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

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.

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

HortonWorks Data Platform - The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

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