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Datameer VS IBM Analytics Engine

Compare Datameer VS IBM Analytics Engine and see what are their differences

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Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI featured
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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Datameer logo Datameer

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

IBM Analytics Engine logo IBM Analytics Engine

Analytics Engine is a combined Apache Spark and Apache Hadoop service for creating analytics applications.
  • 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.

  • IBM Analytics Engine Landing page
    Landing page //
    2023-07-11

Datameer features and specs

  • 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

IBM Analytics Engine features and specs

  • Scalability
    IBM Analytics Engine allows you to scale resources up or down based on demand, which helps optimize performance and costs.
  • Integration with IBM Cloud
    It integrates seamlessly with other IBM Cloud services, providing enhanced capabilities for data processing and analytics within the cloud ecosystem.
  • Support for Multiple Analytics Engines
    The platform supports various analytics engines like Apache Spark and Apache Hadoop, giving users flexibility in choosing tools that best fit their analytics needs.
  • Automated Management
    IBM Analytics Engine offers automated cluster management and maintenance, which reduces the operational burden on IT teams.
  • Cost Efficiency
    Pay-as-you-go pricing model allows businesses to manage costs effectively by only paying for the resources they use.

Possible disadvantages of IBM Analytics Engine

  • Complexity
    The learning curve can be steep for users unfamiliar with cloud-based analytics tools or the specific engines supported by the platform.
  • Dependency on Internet Connectivity
    As a cloud-based service, consistent and reliable internet connectivity is required for optimal performance and accessibility.
  • Limited Offline Capabilities
    The service primarily operates in the cloud with limited offline capabilities, which might not be suitable for environments where offline access is crucial.
  • Potential for Vendor Lock-In
    Migrating away from IBM Analytics Engine to another platform might require significant effort and resources, raising concerns about vendor lock-in.
  • Data Privacy Concerns
    Storing and processing data in the cloud can raise data privacy and compliance concerns, especially for businesses in regulated industries.

Analysis of Datameer

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.

Datameer videos

+ Add

Datameer: Efficiently Extract Insights from Your Snowflake Data

IBM Analytics Engine videos

No IBM Analytics Engine videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Datameer and IBM Analytics Engine)

Datameer

IBM Analytics Engine

Data Dashboard
88 88%
Data Dashboard
12% 12
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 IBM Analytics Engine.

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 IBM Analytics Engine. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Datameer seems to be more popular. It has been mentiond 3 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.

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 3 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 3 years ago
  • Alteryx - worth the time investment to learn?
    I am biased but check out: datameer.com. Source: over 3 years ago

IBM Analytics Engine mentions (0)

We have not tracked any mentions of IBM Analytics Engine yet. Tracking of IBM Analytics Engine recommendations started around Mar 2021.

What are some alternatives?

When comparing Datameer and IBM Analytics Engine, 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.

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

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.

Snowflake - Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

Informatica - As the world’s leader in enterprise cloud data management, we’re prepared to help you intelligently lead—in any sector, category or niche.

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