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Data Everywhere VS Modern Data Stack

Compare Data Everywhere VS Modern Data Stack and see what are their differences

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Data Everywhere logo Data Everywhere

cloud database that unlocks your spreadsheet data

Modern Data Stack logo Modern Data Stack

A platform for everything you need to know about the Modern Data Stack⭐️ Companies & Categories shaping the Modern Data Stack📚 Data stacks of the world's top companies📖 Resources to get updates on the latest in this space🛠 Jobs in data engineering
  • Data Everywhere Landing page
    Landing page //
    2023-07-26
  • Modern Data Stack Landing page
    Landing page //
    2023-03-22

Data Everywhere features and specs

No features have been listed yet.

Modern Data Stack features and specs

  • Scalability
    The modern data stack is designed to handle large volumes of data, making it ideal for businesses that expect their data needs to grow over time. It can easily scale with increased data workload.
  • Flexibility
    The modern data stack is composed of modular components, allowing businesses to choose the best tools for their specific needs and swap them out as requirements change.
  • Cost Efficiency
    Using cloud-based solutions and a pay-as-you-go model, the modern data stack often reduces infrastructure costs compared to traditional on-premises data solutions.
  • Rapid Deployment
    Modern data stack tools are generally cloud-based with user-friendly interfaces, which facilitate quick setup and deployment without the need for extensive on-site infrastructure.
  • Advanced Analytics Capabilities
    The stack includes advanced analytics tools that enable real-time data processing and sophisticated data analyses, aiding businesses in making data-driven decisions.

Possible disadvantages of Modern Data Stack

  • Complex Integration
    Integrating various tools within the modern data stack can be complex, as companies often need skilled personnel to successfully combine multiple components into a seamless workflow.
  • Data Security Concerns
    Storing data on third-party cloud services introduces potential security risks, raising concerns about data breaches and compliance with data protection regulations.
  • Vendor Lock-In
    Depending heavily on a specific modern data stack vendor might result in difficulties if a business decides to switch vendors, as moving data and processes can be costly and time-consuming.
  • High Upfront Learning Curve
    Using cutting-edge tools and technologies can require significant time and effort for teams to learn, which might initially slow down productivity.
  • Ongoing Costs
    While the pay-as-you-go model can be cost-efficient, the ongoing subscription fees and additional costs for scaling can accumulate over time, potentially leading to budget management challenges.

Data Everywhere videos

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Modern Data Stack videos

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The modern data stack sucks

More videos:

  • Review - Data Modeling in the Modern Data Stack
  • Review - What’s so modern about the modern data stack?

Category Popularity

0-100% (relative to Data Everywhere and Modern Data Stack)

Data Everywhere

Modern Data Stack

Developer Tools
38 38%
Developer Tools
62% 62
Tech
51 51%
Tech
49% 49
Design Tools
100 100%
Design Tools
0% 0
ETL
0 0%
ETL
100% 100

User comments

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Social recommendations and mentions

Based on our record, Modern Data Stack seems to be more popular. It has been mentiond 1 time 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.

Data Everywhere mentions (0)

We have not tracked any mentions of Data Everywhere yet. Tracking of Data Everywhere recommendations started around Jan 2023.

Modern Data Stack mentions (1)

  • Data engineering development question
    Check out moderndatastack.xyz to learn more about the Modern Data Stack. Source: about 3 years ago

What are some alternatives?

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